1966 IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOL. 44, NO. 6, NOVEMBER/DECEMBER 2008 A Scroll Compressor With a High-Performance Induction Motor Drive for the Air Management of a PEMFC System for Automotive Applications Benjamin Blunier, Member, IEEE, Marcello Pucci, Member, IEEE, Giansalvo Cirrincione, Member, IEEE, and Abdellatif Miraoui Abstract—This paper proposes a technological solution with a scroll compressor driven by a high-performance induction machine drive for the air management of proton exchange membrane fuel cells (PEMFC) for automotive applications. The torque–speed characteristics of a real scroll compressor have been measured and then emulated by a brushless internal mounted permanent magnets machine controlled in torque. This emulated scroll compressor has been driven by a field-oriented controlled induction motor drive. The whole car model as well as the PEMFC have been implemented by software on the same DSP which implements the drive control algorithm; in this way, the hardware-in-the-loop structure has been employed for emulating the behavior of a real car including the electrical supply of the PEMFC. The whole system has been tested with a classic European Driving Cycle. Two experimental rigs have been setup, one for characterizing the scroll compressor and the other for emulating the entire vehicle. The experimental results have shown that the speed reference profile, obtained during a urban driving cycle, is followed correctly, and that the tank-to-wheel efficiency remains at quite high values confirming the goodness of the proposed technological solution. The hardware-in-the-loop approach of the experimental rig allows tests to be performed to verify the operation in steady and transient states with low cost and reduced employment of the fuel cell stack, with resulting increased durability. Index Terms—Automotive applications, compressors for fuel cells, fuel cell air management, high-performance motor drives. I. I NTRODUCTION T HE AIR management in proton exchange membrane fuel cells (PEMFC) systems for automotive applications plays an important role for the overall performance of the entire vehicle since it absorbs about 25% of the energy provided by Paper MSDAD-08-07, presented at the 2007 Industry Applications Society Annual Meeting, New Orleans, LA, September 23–27, and approved for publication in the IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS by the Industrial Automation and Control Committee of the IEEE Industry Applications Society. Manuscript submitted for review October 31, 2007 and released for publication March 6, 2008. Current version published November 19, 2008. B. Blunier and A. Miraoui are with FCLab-SeT Université de Technologie de Belfort-Montbéliard, 90010 Belfort Cedex, France (e-mail: benjamin. blunier@utbm.fr; abdellatif.miraoui@utbm.fr). M. Pucci is with the Institute on Intelligent Systems for Automation, 90100 Palermo, Italy (e-mail: marcello.pucci@ieee.org). G. Cirrincione is with the Department of Electrical Engineering, University of Picardie-Jules Verne, 80025 Amiens, France (e-mail: g.cirrincione@ ieee.org). Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TIA.2008.2006304 the fuel cell [1]. It is well known that the use of PEMFCs results in the possibility of a working operation at a lower temperature than other kinds of fuel cells, which makes it suitable for transport applications, in high power density and in a good tank-towheel efficiency. The literature lacks guidelines for the choice of both the compressor to be adopted and the most suitable electrical drive as well as the control strategy to be used for optimizing its performance [2]. As for the air compressor, the possibility of having high-pressure air results in higher efficiency, lower weight, and lower humidification water for the membrane in the PEMFC stack [3]–[5]. In general, the literature gives experimental results as for the efficiency of the system only for one working point, which is not the case in actual automotive conditions where different working points occur, depending on the path of the vehicle. Some comparative studies for PEMFC system have been carried out over the past few years [1], [6], [7], and they show that several kinds of compressors can be employed, among which the turbocompressors (dynamical compressors) and the positive displacement compressors (scroll compressor, lobe compressor, screw compressor, etc.). Apart from such key issues as efficiency, price, and reliability, these papers also show that other requirements are necessary for fuel cells in transport applications, as summarized below. 1) Pressure ratio: The pressure ratio should be around 1.5–3 bar depending on the fuel cell stack. 2) Oil content: The oil has to be prohibited because it is detrimental for the fuel cell membrane. 3) Pressure ripple: No pressure ripple greater than 100– 200 mbar is allowed. A greater pressure ripple would damage (perforate) the membrane. 4) Weight: Weight should be as low as possible. 5) Volume: Volume should be as small as possible. Fig. 1, by means of radar graphs, shows that most of the described compressors meet the requirements, with the exception of piston compressors and membrane compressors, which are too bulky and heavy and also have a big pressure ripple. The blowers (low pressure) have to be chosen for a lowpressure fuel cell, which is not, however, the case for automotive applications. Positive displacement compressors with internal compression have to be preferred to those with external compression (isochoric compression) because they offer a better efficiency. Usually, centrifugal compressors are employed for the air management in PEMFC systems for automotive 0093-9994/$25.00 © 2008 IEEE Authorized licensed use limited to: Marcello Pucci. Downloaded on November 19, 2008 at 05:37 from IEEE Xplore. Restrictions apply. BLUNIER et al.: SCROLL COMPRESSOR WITH A HIGH-PERFORMANCE INDUCTION MOTOR DRIVE 1967 technological solution which is not yet state of the art. It is the adoption of a high-performance field-oriented controlled (FOC) induction motor drive [2], with a commercial industrial machine, connected with a scroll compressor, the use of which is not wide spread in fuel cell systems for vehicular propulsion. The whole system is driven by a classic European Driving Cycle (EEC Directive 90/C81/01). An experimental rig has been built for testing the system. The torque–speed characteristics of a real scroll compressor have been first measured, then they have been emulated by a brushless IMPM controlled in torque. This emulated scroll compressor has been driven by an FOC induction motor drive. The whole car model, including the PEMFC, has been implemented by software on the same DSP where the drive control algorithm had been implemented; in this way, a hardware-in-the-loop structure has been adopted to emulate the behavior of the car including the electrical supply of the PEMFC. This paper is organized as follows. Section II describes the vehicle model and its components. Section III explains the reasons for the choice of the induction motor drive rather than IMPM motor drives. Section IV describes the experimental rig. Section V gives the simulation and experimental results. II. V EHICLE S YSTEM M ODEL Fig. 1. Comparison between several kinds of compressors. (a) Centrifugal. (b) Claw. (c) Lobe. (d) Membrane. (e) Piston. (f) Rotary vane. (g) Screw. (h) Scroll. (i) Side channel. (j) Legend. applications because they have the well-known advantage to be very compact and light. However, they have to work at a very high rotation speed (≥ 100 kr/min), which requires the use of oil-free magnetic or gas bearings and an adequate control. Centrifugal compressors have also the disadvantage that their energy efficiency is high only in a reduced range of mass flow and pressure [7], and they cannot work at constant pressure, whatever the mass flow may be: At low values of mass flow, the surge limit makes the compressor work at quite low-pressure with low efficiency [3]. Many publications have been issued about centrifugal compressors and their control in PEMFC systems [8]. Moreover, these high speeds often require properly designed and constructed electrical machines to drive them. On the other hand, for medium power PEMFC systems (below 20 kW), the efficiency achieved by centrifugal compressors is not so good. It is in this power range that these can be advantageously replaced by positive displacement compressors like scroll compressors, which permit the system to work at constant pressure and high efficiency over a wide range of mass flow and do not have a zone of instability. In addition, they allow the humidification to be embedded in the compression system [9], [10], resulting in the elimination of the humidifier and in a more compact and efficient system. Finally, since they have a much lower rotational speed, offthe-shelf electrical machines, like induction machines or brushless internal mounted permanent magnets (IMPM) machines, can be used in variable speed drives with high-performance control strategies. From this standpoint, this paper proposes a The fuel cell system for the vehicle consists of a cooling system for taking away the heat generated by the stack, a hydrogen supply stored in a high-pressure vessel, a humidifier for humidifying the air at the cathode inlet and, in some system configurations, the hydrogen at the anode side. One of the most important and consuming subsystems is the air supply composed mainly of the air compressor but also of the filters and a valve at the cathode outlet. Fig. 2 shows the model of vehicle system with a scroll compressor. The fuel cell stack delivers a gross power (Pgross ) to the car and auxiliaries. It is calculated from the required electrical power of the car Pnet (based on the driving cycle) and the auxiliaries power (Paux ) of the fuel cell. The latter can be divided into two main contributions: the electrical compressor power (Pcomp ) and the constant auxiliary power (Pconst ) consumed mainly by the cooling system and the humidifier Pgross = Pnet + Pcomp + Pconst . (1) The compressor power Pcomp is measured: It is the electrical power of the induction machine. A. Fuel Cell Stack Model Both for the simulation and the experimental tests, only a static model of the PEMFC has been adopted, because the variable time constant of the cell, depending on the so-called “charge double layer” effect and due to the charge accumulation on cell surfaces is a variable quantity ranging from about 0.5 s to about 50 s which is much higher than the transient stator time constant of the induction motor (6.2 ms in the motor under test); this last time constant determines the dynamics of the stator current control loop. Authorized licensed use limited to: Marcello Pucci. Downloaded on November 19, 2008 at 05:37 from IEEE Xplore. Restrictions apply. 1968 IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOL. 44, NO. 6, NOVEMBER/DECEMBER 2008 Fig. 2. Block diagram of the vehicle system. The fuel cell is modeled and built from a single-cell static characteristic [7] Vc (j) = 1.031 − 2.45 × 10−4 j − 0.03 ln(j) −2.11 × 10−5 exp(8 × 10−3 j) (2) where Vc and j (in milliamperes per square centimeter) are the cell voltage and the current density, respectively. The relation between the current density (j in amperes per square centimeter), the stack current (I in amperes), the number of cells (nc ), and the total surface active area (Stot in square centimeters) is given by j= Inc . Stot The fuel cell power is inferred from (2) and (3) ! " Inc Pgross (I) = IV (I) = nc IVc . Stot (3) Fig. 3. (4) The design parameters are the number of cells nc for minimum desired voltage and Stot for the maximum power. The simulated fuel cell contains 120 cells and a cell surface area of 207 cm2 giving a maximal power of 13 kW which meet the performance of the tested scroll compressor. The voltage and power versus current characteristics of the stack are shown in Fig. 3. Because the voltage of fuel cells stack is low, a boost converter has to be added in order increase the dc voltage to 570 V. B. Car Model The scaled electrical power calculation of the car Pnet takes into account the dynamics of the vehicle (dv/dt), its mass (Mv ), the coefficient of friction (Cx ), the car front surface (S), the rolling coefficient (Cr ), and the drive train efficiency (ηd ). This model computes the electrical power necessary for achieving the desired speed [11] ! " dv 1 1 2 + ρair v SCx + Mv gCr . Pnet = κ v Mv (5) ηd dt 2 Fuel cell stack characteristics. The power is reduced by a factor κ = 1/3 to adapt the power to the maximum air flow rate of the tested scroll compressor. C. Compressor Model In the range of speed operation, the relation between the variation of speed of the scroll and its torque is practically instantaneous because of the internal compression which is around 2 bar and very close to the fuel cell pressure operation to achieve maximum efficiency. This means that almost no external pressure compression exists, responsible for the delay of the torque response. The compressor model is therefore directly based on the experimental results shown in Figs. 4 and 5. The flow rate reference qair is calculated from the gross power demand of the fuel cell system [7] on the basis of the following equation: qair = 3.57 × 10−7 λ Pgross Vc (j) (6) where λ is the air delivering stoichiometry (λ = 2). The fuel cell current I (i.e., j) is obtained from a 2-D lookup table (Pgross , I), and the single-cell voltage Vc (j) is calculated from (2) and (3). Authorized licensed use limited to: Marcello Pucci. Downloaded on November 19, 2008 at 05:37 from IEEE Xplore. Restrictions apply. BLUNIER et al.: SCROLL COMPRESSOR WITH A HIGH-PERFORMANCE INDUCTION MOTOR DRIVE Fig. 4. Electrical power contour lines (in watts) of the scroll compressor and working pressure line. Fig. 5. Relation between the speed and the air mass flow rate. The compressor speed reference is obtained from the air demand qair and the interpolated data shown in Fig. 5. The corresponding torque is computed from Fig. 4 (taking into account the compressor mechanical efficiency). As shown on this figure, the pressure is kept at 2 bars during all the test when it is possible: at low flow rates the scroll compressor cannot work at 2 bars, and the pressure is maintained at its maximum value. III. I NDUCTION M OTOR D RIVE FOR THE A IR M ANAGEMENT OF THE PEMFC S YSTEM A. Choice of the Compressor Motor Given the speed range of the drive required by the scroll compressor, about 0–7000 r/min corresponding to the speed range of the vehicle of 0–30 m/s of the urban vehicle under study, a very important issue to be addressed is the choice of the type and characteristics of the compressor motor. Among the different solutions, an off-the-shelf induction machine drive has been chosen here to drive the scroll compressor as it has been done for the centrifugal compressor [12]. The main alternative solution is a brushless permanent magnet drive, but for centrifugal compressors, induction motors with high rated frequencies (300 Hz) are generally a good alternative to them. It 1969 is well known that induction motors are better than permanent magnet ones in terms of higher reliability, higher robustness, and lower cost. On the contrary, induction motors exhibit lower torque/volume and torque/weight ratios and increased control algorithm complexity than the permanent magnet ones. The choice of the induction motor has been made mainly on the basis of criteria of reliability, robustness and cost. These aspects have been preferred to the occupied volume and weight which would have encouraged the use of the permanent-magnet machine. However, as far as the motor efficiency is concerned, some other aspects are to be taken into consideration. In respect of this, it should be noted that, at low power levels, the fuel cell (FC) stack is very inefficient. Typically, a reduction of the demanded power to the FC from 12 to 5 kW decreases correspondingly its efficiency from about 60% to about 30% [13]. When the vehicle is idling or is running at low speed (typical of urban cycles), no drive power is demanded to the FC, but its compressor still requires power, even if at low load, which makes the FC work with high losses and low efficiency, with resulting reduction of the system efficiency. On the basis of this last remark, even if an efficiency criterion would, in general, suggest that a permanent magnet machine should be employed because of the absence of losses in the rotor, in this application, the reduction of the FC efficiency occurs mainly when the compressor motor is slightly or not loaded, and therefore, the increase of losses in the induction motor due to the slip are not particularly significant. On the contrary, it would be important to increase the efficiency of the compressor motor drive when the FC presents a low efficiency. In this sense, highperformance induction motor drive control systems can easily be integrated with suitable methodologies for the minimization of motor losses (maximization of efficiency) [14], [15]. These methodologies, which are based on the idea of properly reducing the reference flux of the drive at low load torque, permit the losses to be significantly decreased particularly at low or no load. Similar methodologies are not always well applicable in permanent magnet motor drives, because of the well-known difficulty in flux reduction. Thus, on the basis of the efficiency criterion, the induction motor might be a good choice as well. Given the type of the motor, another issue is the choice of the motor characteristics. In general, if an electric traction motor is present in the vehicle, it will impose the dc voltage level in the 100–400 V; it means that both the inverter and motor design and construction can follow standard industrial and commercial practice [16]. If a scroll compressor is used, which implies a speed range of the drive in a urban cycle of about 0–7000 r/min, even a traditional induction motor designed for industrial frequency or slightly higher can be used, with no need of a specific design (differently from the centrifugal compressor motor). A traditional machine with 1 pole pair designed for industrial frequency would permit the drive to work over the whole speed range of 0–7000 r/min, some of which in field-weakening. In this case, a two-pole-pair machine has been used for the experimental tests because of its availability in the laboratory. For this reason, in the experimental verification on the test rig, the speed reference of the drive has been scaled of 1/2, so that the results obtained with a two-pole-pair machine can be referred to those obtainable with a one-pole machine. Authorized licensed use limited to: Marcello Pucci. Downloaded on November 19, 2008 at 05:37 from IEEE Xplore. Restrictions apply. 1970 IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOL. 44, NO. 6, NOVEMBER/DECEMBER 2008 Fig. 6. Block diagram of the FOC scheme for driving the scroll compressor. B. Compressor Drive Control System Since the compressor drive must track a speed reference depending on the speed of the car, a high-performance control technique has been chosen, the FOC. Particularly, a direct rotorflux-oriented FOC scheme (Fig. 6) has been adopted, where the current control is performed in the rotor flux oriented reference frame. In this case, the dc link is supplied by a PEMFC. On the direct axis, a flux control loop commands the current loop, and a voltage control loop commands the flux loop to permit the drive to work automatically in the field weakening region keeping the product between the rotor flux amplitude and rotor speed absolute value constant. On the quadrature axis, a speed loop controls the current loop. The speed reference of the drive is computed in the hardware-in-the-loop structure on the basis of the speed of an inverse car model based on the vehicle dynamics which takes into account its mass, the coefficient of friction, the car front surface, and the drive train efficiency (Section II). A decoupling circuit (Fig. 6) has been used to correctly decouple the direct and quadrature current controls. All Proportional Integral (PI) controllers have been used in all the control loops. An asynchronous space vector modulation with fPWM = 5 kHz has been used to command the inverter. This modulation technique has been implemented by software in the same DSP where the FOC algorithm has been implemented. The use of such a control scheme permits the drive to follow the speed reference with high performance, to provide the load torque required by the scroll compressor, which has a nonlinear law in respect with the speed of the drive itself, and finally to work in the field weakening region when the car speed increases (see the Appendix for the controller design). Since one of the most expensive parts of a high-performance drive is the encoder, a sensorless solution permitting the drive to work in a wide speed range could be an interesting perspective [10], [17]–[19]. In this case, a rotor flux estimator based on the rotor equations of the induction motor in the rotor-flux-oriented reference frame (the so-called “current model”) has been adopted. This choice has been done for two reasons. 1) The current model is sensitive mainly to the rotor resistance variation at increasing slip speed of the machine caused by the load torque, differently from the “voltage model” which is sensitive to the stator resistance variations at low speed. Many parts of the drive speed cycle are at very low speed, and this justifies choice of the current model. 2) The current model in the rotor-flux-oriented reference frame performs a closed-loop integration, while the voltage model requires an open-loop integration with consequent problems that can be overcome by suitable solution [20]. Since the correct field orientation of the drive adopting such a flux model depends on the correct knowledge of the rotor time constant, the drive has been integrated with a online rotor time constant estimator [21]. IV. E XPERIMENTAL R IG An experimental rig has been devised for the experimental assessment of the methodology. First, a scroll compressor has been experimentally characterized to retrieve the speed versus torque curve (extracted from Fig. 4) and the air mass flow rate versus speed (Fig. 5). Fig. 7(a) shows a photograph of the scroll compressor under study. This experimental rig has been built to test the performance and control laws of positive displacement compressors in an automated way. Afterward, the speed versus torque characteristics has been emulated by a torque controlled high-performance FOC PMSM drive. In this way, the PMSM drive behaves exactly as the scroll compressor in the whole speed range. There are at least three reasons for using an emulator of the scroll compressor instead of using the scroll itself. The first is a practical reason: The electrical drive on which the control is experimentally implemented, and the scroll test setup is located in different laboratories of different universities (France and Italy). The emulator permits therefore to work on the scroll compressor in one place without having it at disposal. The second is that, by using a controlled PMSM instead of the scroll compressor, the tests can be performed safely, in presence of the protections on the PMSM system and the induction motor drive, avoiding any possible damage of the scroll compressor. This is useful particularly for the initial configuration and tuning of the system. The third is that the same system can be used in the future for emulating different kinds of compressors. The system in Fig. 7(b) presents thus Authorized licensed use limited to: Marcello Pucci. Downloaded on November 19, 2008 at 05:37 from IEEE Xplore. Restrictions apply. BLUNIER et al.: SCROLL COMPRESSOR WITH A HIGH-PERFORMANCE INDUCTION MOTOR DRIVE 1971 TABLE I PARAMETERS OF THE INDUCTION MOTOR of the PEMFC (see Section II-A) has been adopted for the experimental verification of the method. The drive test set up consists of [22]: 1) a three-phase induction motor with parameters shown in Table I; 2) a frequency converter which consists of a three-phase diode rectifier and a 7.5-kVA three-phase voltage source inverter (VSI) for supplying the induction motor; 3) a brushless IMPM machine drive for loading the induction machine; 4) a frequency converter which consists of a three-phase diode rectifier and a 8-kVA three-phase VSI for supplying the IMPM; 5) a dSPACE card (DS1103) with a PowerPC 604e at 400 MHz and a floating-point DSP TMS320F240. Fig. 7. Test benches. (a) Photograph of the scroll compressor test bench (Laboratory of Université de Technologie de Belfort-Montbéliard, France). (b) Photograph of the test setup (Istituto di Studi sui Sistemi Intelligenti per l’Automazione, Consiglio Nazionale delle Ricerche, Electrical Drives Laboratory, Italy). Fig. 7(b) shows a photograph of the test setup. The output digital-to-analog channel of the DSP gives the torque reference to the IMPM drive in real time on the basis of the scroll compressor model implemented on the DSP itself. In this way, the IMPM drive behaves exactly as the scroll compressor in the whole speed range. The flux estimator and the whole FOC control algorithm have been implemented on the DSP at a sampling frequency of fc = 10 kHz. The car model, the PEMFC model, and the scroll compressor model have been implemented at a lower sampling frequency, which is in this case 1 kHz. V. R ESULTS two motors, one is the induction machine which is under test for varying its capability to drive the scroll compressor, and the second is the PMSM whose function is simply to emulate the scroll compressor (in perspective any kind of compressor). It should be noted that, considering the speed range of the scroll compressor drive, the induction machine drive is operated in field weakening since a speed above the rated one (1500 r/min) is required, while the PMSM drive (which emulate the scroll compressor) works always within the rated speed (3000 r/min), and therefore, there is no problem of demagnetization. The model of the scroll compressor as well as the whole car model including the PEMFC has been implemented by software on the same DSP where the drive control algorithm had been implemented; in this way, a hardware-in-the-loop structure has been adopted to emulate the behavior of the car including the electrical supply of the PEMFC. A static model A. Simulation Results The proposed scroll compressor-based system supplied by the PEMFC has been tested first in numerical simulation in Matlab-Simulink environment. The parameters of the simulated induction machine, VSI inverter, scroll compressor, and PEMFC are those of the experimental rig described in Section IV. The sampling frequency of the control scheme has been set equal to 10 kHz for both control schemes. The models of the FOC drive with its flux observer, the PEMFC, and the vehicle dynamics have been created for this purpose (see Section II). The European Driving Cycle (one urban followed by one extraurban) has been adopted to test the behavior of the drive. Since the adopted working cycle makes the machine work in the field weakening region, the value of the load torque required by the scroll compressor has been limited to 4 N · m, Authorized licensed use limited to: Marcello Pucci. Downloaded on November 19, 2008 at 05:37 from IEEE Xplore. Restrictions apply. 1972 IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOL. 44, NO. 6, NOVEMBER/DECEMBER 2008 the 200 rad/s. Both in transient and steady-state conditions, the dynamics of the speed loop is high, with hardly distinguishable curves of the reference and measured speed; the drives thus works correctly with the driving cycle. Fig. 11 shows the net and gross power Pnet , Pgross , qair , and the PEMFC voltage provided by the fuel cells stack during the same test. It also shows the global efficiency of the systems (tank-to-wheel efficiency). B. Experimental Results Fig. 8. Car speed during the driving cycle (simulation). Fig. 9. Rotor flux amplitude, scroll compressor torque during the driving cycle (simulation). which is close to the torque limit value which can be provided by the induction machine under test at the maximum speed during the aforementioned test cycle. Fig. 8 shows the car speed in the European Driving Cycle. This is very challenging cycle from the point of view of the compressor drive. As a matter of fact, it can be observed that the drive speed reference ranges from zero speed during some time intervals to very low speed (1.97 rad/s) in other time intervals up to 197 rad/s in field weakening region. Figs. 9 and 10 show wavefoms of the rotor flux amplitude, the scroll torque with the corresponding electromagnetic torque provided by the induction machine, and finally the reference and measured speed of the drive. They show that above 150 rad/s, the control system automatically reduces the rotor flux amplitude, as expected. The electromagnetic torque produced by the induction machine is always equal to the scroll compressor torque excepted when a speed transients required by the machine. The speed curves show that the drive correctly works in the whole speed range from very low speed up to The experimental verification of the scroll compressor drive has been carried out on the test setup described in Section IV. As in the simulation test, the standard European Driving Cycle has been adopted. Since this working cycle makes the machine work in the field weakening region, also in this case the value of the load torque has been limited to 4 N · m. Fig. 12 shows the car speed in the European Driving Cycle, as implemented on the DSP. Figs. 12–14 show the corresponding wavefoms of the rotor flux amplitude, the scroll torque (IMPM torque), and the reference and measured speed of the drive, respectively. They show that above 150 rad/s, the control system automatically reduces the rotor flux amplitude. The load torque produced by the IMPM corresponds to that of the scroll compressor, with the aforementioned limit of 4 N · m in field weakening. The speed curves show that the induction motor drive correctly works in the whole speed range from very low speed up to the 200 rad/s. Both in transient and steadystate conditions, the speed loop dynamics is high, and the drives works correctly with the European Driving Cycle. This is particularly interesting, since the drive cycle requires varying speed ranging from zero up to 200 rad/s at varying speed load torques. Fig. 15 shows the speed controller error ωrref − ωr related to the speed curve in Fig. 14. It can be observed that the tracking error is always in average close to zero, apart from some spikes. These spikes are all in correspondence of the step variations of the reference speed, and the maximum instantaneous tracking error is about 8 rad/s in correspondence to the transient from about 190 rad/s (in field weakening region) to about 100 rad/s. In all the other working conditions, both in steady state and in slow transients, the instantaneous tracking error is basically zero. This behavior can be justified on the basis of the following considerations. From linear control theory, it is well known that a PI controller permits a zero steady-state tracking error only for constant references. For higher order references, a nonnull steady-state error is to be expected. However, Fig. 18 in Appendix, which draws the Bode diagram of the closed loop transfer function of the speed loop, shows that 3-dB bandwidth of the speed loop is about 128 Hz. On the contrary, Fig. 16, which draws the drive speed reference and its spectrum obtained with the fast Fourier transform (FFT), shows that the maximum frequency content of the speed reference waveform is within 1 Hz. It means that inside the frequencies of the reference speed, the gain of the speed loop is always one, and therefore, the speed controller can deal with the time variations of the speed reference required by the scroll compressor drive. Furthermore, if the mechanical Authorized licensed use limited to: Marcello Pucci. Downloaded on November 19, 2008 at 05:37 from IEEE Xplore. Restrictions apply. BLUNIER et al.: SCROLL COMPRESSOR WITH A HIGH-PERFORMANCE INDUCTION MOTOR DRIVE 1973 Fig. 10. Reference and measured drive speed during the driving cycle (simulation). Fig. 11. Net power provided by the supply during the driving cycle (simulation). (a) PEMFC voltage. (b) Air mass flow. (c) Gross and net power. (d) Tank-towheel efficiency. damping factor of the rotor is considered nonnull (as it is in the real case), the open-loop transfer function from the output of the speed controller to the measured speed has not poles in the origin (system of type 0). This means that, adopting a speed PI controller, it presents a zero steady-state tracking error to a step reference and a nonnull tracking error to a ramp reference. In the ideal case, with zero mechanical damping factor (in a wellconstructed machine it is close to zero), it would be a system of type 1, and thus, it would present a zero steady-state tracking error also to speed ramp reference. For the above reasons, if the slow transient of the reference speed are considered linear (they are either ramps or constant values, which is not far from the actual variation), the steady-state tracking error for a ramp input, which is constant with a PI controller, can be computed as 1/Kv where Kv = lims→0 sGω , with Gω the open-loop transfer function of the speed loop. In the case under hand, Kv is 55.4 dB, and therefore, the theoretical steady state tracking error for a ramp is 0.017 rad/s, which is negligible. Authorized licensed use limited to: Marcello Pucci. Downloaded on November 19, 2008 at 05:37 from IEEE Xplore. Restrictions apply. 1974 IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOL. 44, NO. 6, NOVEMBER/DECEMBER 2008 Fig. 12. Car speed in the standard driving cycle (experiment). Fig. 15. Speed controller error ωrref − ωr . Fig. 13. Rotor flux amplitude, scroll compressor torque during the European Driving Cycle (experiment). Fig. 16. Drive speed reference and its spectrum obtained with the FFT. Fig. 14. Reference and measured speed of the drive (experiment). VI. C ONCLUSION This paper presents experimentally the advantages of using a high-performance induction motor drive connected to a scroll compressor for the air management of PEMFC in automotive applications. The use of a scroll compressor has the advantage that it can be controlled at constant pressure, unlike centrifugal compressors. Moreover, the lower rotational speed of such compressors makes the use of induction motor drive possible, which results in higher robustness, lower cost, and higher reliability than those obtainable with other technological solutions (for example, centrifugal compressors plus permanent magnet motors). The torque–speed characteristics of a real scroll compressor have been measured and then emulated by a brushless IMPM machine controlled in torque. This emulated scroll compressor has been driven by a FOC induction motor drive. The whole car model as well as the PEMFC have been implemented by software on the same DSP which implements the drive control algorithm; in this way, the hardware-in-theloop structure has been employed for emulating the behavior of a real car including the electrical supply of the PEMFC. The whole system has been tested with a classic European Driving Cycle. The experimental results have shown that the speed reference profile ranging from zero speed to very low speed up to 200 rad/s in field weakening region, obtained during a urban Authorized licensed use limited to: Marcello Pucci. Downloaded on November 19, 2008 at 05:37 from IEEE Xplore. Restrictions apply. BLUNIER et al.: SCROLL COMPRESSOR WITH A HIGH-PERFORMANCE INDUCTION MOTOR DRIVE 1975 The control design of the current loop is the same on both axes. It is however particularly important, for the application under study, the tuning of the speed controller, since the speed profile of the compressor drive is composed of some constant and time varying parts and correspondingly the load torque presents variations with the rotor speed. Fig. 17 shows the Bode diagram of the closed loop transfer function of the current loop. A 3-dB bandwidth of 100 Hz has been set. For security reasons, the current control has been tuned overdamped to avoid potential damaging of the machine. Fig. 18 shows the Bode diagram of the closed loop transfer function of the speed loop. A 3-dB bandwidth of 128 Hz has been achieved. R EFERENCES Fig. 17. Bode diagram of the current closed-loop transfer function. Fig. 18. Bode diagram of the closed-loop transfer function of the speed loop. driving cycle, is followed correctly and that the tank-to-wheel efficiency remains at quite high values confirming the goodness of the proposed technological solution. Future work will deal with the application of intelligent control techniques to improve the reliability and reduce the cost of such this application. A PPENDIX C ONTROL S YSTEM D ESIGN The design of the control system has been done by means of the frequency analysis (Bode diagrams). Since a decoupling circuit (feedforward control) has been adopted, the direct and quadrature axis controls can be considered completely decoupled. The controller design on the two axes can be therefore performed separately. The following design criteria have been followed: 1) a significant stability margin (at least 45◦ ); 2) a bandwidth as high as possible; 3) a steady-state error as low as possible also for a first-order reference input. [1] S. Pischinger, C. Schönfelder, O. Lang, and H. Kindl, “Development of fuel cell system air management utilizing HIL tools,” in Proc. Fuel Cell Power Transp., 2002, pp. 109–117. [2] P. Vas, Sensorless Vector and Direct Torque Control. Oxford, U.K.: Oxford Sci., 1998. [3] B. Blunier and A. Miraoui, “Air management in PEM fuel cells: State-of-the-art and prospectives,” in Proc. ACEMP, Electromotion IEEE-PES-MSC, Sep. 2007, pp. 245–255. [4] J. M. Cunningham, M. A. Hoffman, and D. J. Friedman, “A comparison of high-pressure and low-pressure operation of PEM fuel cell systems,” in Proc. Fuel Cell Power Transp., 2001, pp. 61–67. [5] B. Blunier and A. Miraoui, “Optimization and air supply management of a polymer electrolyte fuel cell,” in Proc. IEEE Conf. Vehicle Power Propulsion, Sep. 7–9, 2005, pp. 273–279. [6] A. Wiartalla, S. Pischinger, W. Bornscheuer, K. Fieweger, and J. Ogrzewalla, “Compressor expander units for fuel cell systems,” in Proc. Fuel Cell Power Transp., 2000, pp. 149–153. [7] J. Larminie and A. Dicks, Fuel Cell Systems Explained, 2nd ed. Hoboken, NJ: Wiley, 2003. [8] J. T. Pukrushpan, A. G. Stefanopoulou, and H. Peng, “Control of fuel cell power systems: Principle, modeling analysis and feedback design,” in Advances in Industrial Control. New York: Springer-Verlag, 2004. [9] S. Pishinger and O. Lang, Handbook of Fuel Cells, Fundamentals, Technology and Applications, vol. 4. Hoboken, NJ: Wiley, 2003, ch. Airsupply components, pp. 727–741. [10] Y. Zhao, L. Li, H. Wu, and P. Shu, “Theoretical and experimental studies of water injection scroll compressor in automotive fuel cell systems,” Energy Convers. Manage., vol. 46, no. 9/10, pp. 1379–1392, Jun. 2005. [11] B. Blunier and A. Miraoui, Piles á Combustible, Principe, Modélisation et Applications Avec Exercices et Problèmes Corrigés, Ellipses marketing, collection: Technosoup, 2007. in French. ISBN: 978-2-7298-3107-3. [12] K. O. Boinov, E. A. Lomonova, A. J. A. Vandenput, and A. Tyagunov, “Surge control of the electrically driven centrifugal compressor,” IEEE Trans. Ind. Appl., vol. 42, no. 6, pp. 1523–1531, Nov./Dec. 2006. [13] S. Naylor, V. Pickert, and D. Atkinson, “Optimization of compressor power supply and control systems for automotive fuel cell drive train applications,” in Proc. IEEE VPPC, Sep. 6–8, 2006, pp. 1–5. [14] D. S. Kirschen, D. W. Novotny, and T. A. Lipo, “Optimal efficiency control of an induction motor drive,” IEEE Trans. Energy Convers., vol. EC-2, no. 1, pp. 70–75, Mar. 1987. [15] C. Canudas de Wit and S. I. J. Seleme, “Robust torque control design for induction motors: The minimum energy approach,” Automatica, vol. 33, no. 1, pp. 63–79, Jan. 1997. [16] P. McCleer, “Electric drives for pump, fan, and compressor loads in automotive applications,” in Proc. IEEE ISIE, Jul. 1995, vol. 1, pp. 80–85. [17] K. Rajashekara, A. Kawamura, and K. Matsuse, Sensorless Control of AC Motor Drives. Piscataway, NJ: IEEE Press, 1996. [18] H. Kubota, K. Matsuse, and T. Nakano, “DSP-based speed adaptive flux observer of induction motor,” IEEE Trans. Ind. Appl., vol. 29, no. 2, pp. 344–348, Mar./Apr. 1993. [19] J. Holtz and J. Quan, “Sensorless vector control of induction motors at very low speed using a nonlinear inverter model and parameter identification,” IEEE Trans. Ind. Appl., vol. 38, no. 4, pp. 1087–1095, Jul./Aug. 2002. [20] M. Cirrincione, M. Pucci, G. Cirrincione, and G.-A. Capolino, “A new TLS-based MRAS speed estimation with adaptive integration for highperformance induction machine drives,” IEEE Trans. Ind. Appl., vol. 40, no. 4, pp. 1116–1137, Jul./Aug. 2004. Authorized licensed use limited to: Marcello Pucci. Downloaded on November 19, 2008 at 05:37 from IEEE Xplore. Restrictions apply. 1976 IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOL. 44, NO. 6, NOVEMBER/DECEMBER 2008 [21] M. Cirrincione, M. Pucci, G. Cirricione, and G. A. Capolino, “A new experimental application of least-squares techniques for the estimation of the induction motor parameters,” IEEE Trans. Ind. Appl., vol. 39, no. 5, pp. 1247–1256, Sep./Oct. 2003. [22] M. Cirrincione, M. Pucci, G. Cirrincione, and G.-A. Capolino, “An adaptive speed observer based on a new total least-squares neuron for induction machine drives,” IEEE Trans. Ind. Appl., vol. 42, no. 1, pp. 89–104, Jan./Feb. 2006. Benjamin Blunier (S’07–M’07) received the Ph.D. degree in science engineering from the Université de Technologie de Belfort-Montbéliard (UTBM), Belfort, France, in 2007. Since 2007, he has been an Associate Professor at UTBM in the research field of fuel cells, particularly in regard to their modeling and air management. Dr. Blunier is a member of the IEEE Industry Applications Society. Marcello Pucci (M’03) received the “Laurea” and Ph.D. degrees in electrical engineering from the University of Palermo, Palermo, Italy, in 1997 and 2002, respectively. In 2000, he was a Host Student with the Institut of Automatic Control of the Technical University of Braunschweig, Braunschweig, Germany, working in the field of control of ac machines, with a grant from Deutscher Akademischer Austauscdienst—German Academic Exchange Service. From 2001 to 2007, he was a Researcher with the Section of Palermo of the Institute on Intelligent Systems for the Automation, Palermo, where he has been a Senior Researcher since 2008. His current research interests include electrical machines, control, diagnosis and identification techniques of electrical drives, intelligent control, and power converters. Dr. Pucci is a member of the Editorial Board of the Journal of Electrical Systems. Giansalvo Cirrincione (M’03) received the “Laurea” degree in electrical engineering from the Politecnico di Torino, Turin, Italy, in 1991, and the Ph.D. degree, with the congratulations of the jury, from the Laboratoire d’Informatique et Signaux de l’Institut National Polytechnique de Grenoble, Grenoble, France, in 1998. He spent a year of postdoctoral research with the Department SISTA, Leuven University, Leuven, Belgium, in 1999. Since 2000, he has been an Assistant Professor with the University of Picardie-Jules Verne, Amiens, France. His current research interests include neural networks, data analysis, computer vision, brain models, and system identification. Abdellatif Miraoui was born in Morocco in 1962. He received the M.Sc. degree from Haute Alsace University, Mulhouse, France, in 1988, and the Ph.D. degree and Habilitation to Supervise Research from Franche Comté University, Besançon, France, in 1992 and 1999, respectively. He was an Associate Professor of electrical machines with Franche Comté University. He is with Université de Technologie de Belfort–Montbéliard (UTBM), Belfort, France, where since 2000, he has been a Full Professor of electrical engineering (electrical machines and energy) and where, since 2001, he has been the Director of the Electrical Engineering Department. He is the Head of the “Energy Conversion and Command” Research Team (38 researchers in 2007) and the Editor of the International Journal on Electrical Engineering Transportation. He is the author of over 40 journal and 80 conference papers and the author of the first textbook in French about fuel cells Pile à Combustible: Principes, Technologies Modélisation et Application (Fuel Cells: Basic Principles, Technologies, Modeling and Applications) (Ellipses-Technosup, France, 2007). He is also a Scientific Responsible for the column “Electrical Machines” of the important French industrial review Techniques de l’Ingénieur. His research interests include fuel-cell energy, integration of ultracapacitor in transportation, design and optimization of permanent magnet machines, and electrical propulsion/traction. Dr. Miraoui is a member of several international journals and conference committees. He is a member of the IEEE Power Electronics, IEEE Industrial Electronics, and IEEE Vehicular Technology Societies. He was the recipient of a Doctor Honoris Causa from Cluj-Napoca Technical University, Cluj-Napoca, Romania. In 2007, he received the high distinction from the French Higher Education Ministry of “Chevalier dans l’Ordre des Palmes Académiques.” He was also distinguished as an Honorary Professor by the University of Brasov, Romania, Romania. Authorized licensed use limited to: Marcello Pucci. Downloaded on November 19, 2008 at 05:37 from IEEE Xplore. Restrictions apply.