Induction machine models for efficiency studies in EV design applications Facundo Aguilera, Pablo M. de la Barrera, Cristian H. De Angelo Grupo de Electrónica Aplicada (GEA), Fac. de Ingenierı́a, Universidad Nacional de Rı́o Cuarto Ruta Nac. #36 Km. 601, X5804BYA, Rı́o Cuarto, Argentina. Rı́o Cuarto, Córdoba, Argentina email: {afacu, pbarrera, cdeangelo}@ieee.org Abstract—Different induction machine (IM) models are evaluated, with the aim to determine its usefulness in efficiency studies for electric vehicles (EV) traction drives. In particular, two simple IM models proposed in the literature, which take into account the additional losses, are compared. With this aim, model parameters are adjusted from experimental tests performed on a 4 kW IM. Then, obtained results from both models at different operating points are compared. Even when the estimation errors are similar using both models, one of them is chosen because of its simplicity. Finally, a simple application of this model is proposed, which consists in use the model for obtaining a complete efficiency map of the IM, without need further essays. Such efficiency map can be used to evaluate the overall efficiency of the traction drive of an EV or in EV design. Index Terms—Electric vehicles, models, induction machines, efficiency map I. I NTRODUCTION Efficiency optimization is one of the most important challenges in the design of an electric vehicle (EV) due to its limited energy storage capacity. In the design stage, it is good to have an estimation of the power consumption, for which model based simulations of the EV are usually used [1], [2]. Electric motors are one of the most important components in the traction system to be taken into account during the study of power consumption. Induction motors (IM) are usually used in an electric traction system [3], [4]. The knowledge of IM efficiency is useful for the design of the remaining components in traction systems as well as for improving its control strategies [5], [6]. IM power consumption can be estimated knowing its electric input power and the output power supplied to the mechanical system of the EV. Efficiency maps (EM) (also known as iso–efficiency contours) are an option to determinate the IM consumption, in which the torque, speed and efficiency of the IM are related in the same plot [7]. To obtain EM a large number of experimental tests are usually performed in order to obtain an interpolation between different operation points [8]. Another way to obtain the EM is using a model thus significantly reducing the number of experimental tests. Some studies about model–based efficiency assessment of EV/HEV can be found in the literature [1], [2], [9], [10]. These studies take into account dynamic losses in different component of the traction drive including the electric motor. All cited works use the conventional IM model that only considering I 2 R losses. Although I 2 R losses are the most important, for a better estimation of efficiency is necessary to consider all IM losses, which typically includes iron losses (IL) and stray-load losses (SLL) [11]. In this way, simple IM models that take SLL into account whose parameters can be determined by tests have been poor treated in literature [12]– [14]. Furthermore, if a suitable model is available it is possible to build a precise EM for the IM. It could be used for energy flow optimization algorithms in EV/HEV [2], [15], transmission system design [16] or machine power assessment for a given driving cycle [7], [17]. Because of the IM is linked to other elements of the EV (e.g. inverter and transmission system) its model must correctly represent their input/output variables (stator current, power and torque). This fact is not considered in other papers [18]. Therefore, in this paper a comparison between IM models available in literature is presented. These models must consider all IM losses for the estimation of the machine power consumption in EV/HEV applications. Two models were selected and analyzed for this purpose. In addition, the parameter determination methods were also presented. The estimation error of input/output power, stator current and torque for different operating points are also analyzed. Finally, the construction of an EM is presented as an application of the analyzed models. The rest of the paper is organized as follows: Section II presents a description of IM losses. The selection of IM models is presented in Section III. Parameter estimation based on standard procedure tests is shown in Section IV. Results obtained with models and experimentaly are presented in Section V. Finally, the construction of an EM based on an IM model is shown and analyzed in Section VI. II. E FFICIENCY AND LOSSES IN INDUCTION MACHINES The efficiency of an IM can be expressed as [19] η= Pm Pe − PLT = Pe Pe (1) where Pe is the total input power of the machine, Pm is the output mechanical power in the motor shaft and PLT is the total loss power. The total loss power can be segregated in the following components: Rsl PLT = PLsir + PLrir + PLh + PLsl + PLm (2) where PLsir and PLrir are the I 2 R losses in the stator and rotor windings, respectively; PLh , PLsl and PLm represent total core losses, stray load losses (SLL) and windage and friction losses, respectively. In the following subsections a brief description of the losses calculation is given. Rs jXls Is jXlr Ir I r2 IF e Vs RF e A. Stator and rotor I 2 R losses Im Rr s jXm Stator I 2 R losses can be calculated as PLsir = 3Rs Is2 (3) Fig. 1. where Rs and Is represent the equivalent stator phase resistance and stator phase current (RMS value), respectively. Rotor I 2 R loss is obtained using the following expression Rs IM electrical model M1 proposed in [14]. jXls jXlr Rsl Ir PLrir = (Pe − PLsir − PLh )s (4) where s is the slip. IF e Vs B. Core losses RF e Im jXm Rr s Core losses can be calculated as Is PLh = Pe,0 − PLsir − PLm (5) where Pe,0 is the no-load power. Core losses can be modeled as an equivalent resistance in parallel with the magnetizing branch of the IM [19]. C. Windage and friction losses These losses are estimated using the curve of the difference between stator I 2 R losses and no-load losses (Pe,0 − PLsir ) versus voltage. The interception of this curve with the zero voltage axis corresponds to the windage and friction losses [19]. D. Stray-load losses Stray-load losses are related to the machine saliences (stator and rotor slots, core anisotropies) [20]. These losses are highly dependent on IM load torque level. In addition, they depend on the supply frequency and voltage [21], [22]. SLL can be indirectly estimated in the whole operation range of the IM by the load test: a set of six tests with different levels of load torque ( 25 %, 50 %, 75 % 100 %, 125 % and 150 %). For each torque level, SLL are obtained as follows PLsl = PLT − (PLsir + PLrir + PLh + PLm ) (6) Then, a lineal approximation of the results versus the square of torque level is obtained [19], [23], as follows ∗ PLsl = aT 2 where T is the load toque level and a is a constant. (7) Fig. 2. IM electrical model M2 proposed in [12]. III. S ELECTION OF IM MODELS The IM models presented in this section were selected by using the following criteria: 1) they must take into account all IM losses; 2) their parameters must be obtained by a reduced number of tests; 3) they must keep a good estimation of torque and stator current; 4) they should be usable over an extended speed range; 5) they should be simple in order to be used as a subsystem in the EV model. Two models were selected and studied based on previous criteria. They were described in detail in [12]–[14], [18], [22]. One of them (hereafter called M1) was proposed and analyzed in [13], [14], [24]. The equivalent electric circuit is presented in Fig. 1, where V , R and X represent phase voltages, resistances and reactances, respectively; subscripts s and r indicate stator and rotor-related variables, respectively; subscripts l, m, F e and sl indicate leakage, magnetizing, iron and stray-load related variables, respectively. This equivalent circuit is based on the standard IM model in steady state with the addition of the SLL equivalent resistance included in the rotor branch. SLL are modeled as proposed in [19]: they are expressed as a function of the square of the load torque and must be zero in no-load condition. The good estimation of stator phase current, electromagnetic torque and input/output power was demonstrated in [13] by using this model. The other selected model was proposed in [12], hereafter it is called M2. In this case, SLL equivalent resistance is included in the stator branch, as shown Fig. 2. This one is based on the model proposed in [20] where the SLL caused by air gap spatial harmonics are taken into account. In addition, an expression for the equivalent SLL resistance is obtained in this paper. Experimental validation of the model is presented in [12] and [22] in which the efficiency for different load levels is only analyzed. Other variables such as stator current and torque are not verified in the cited papers. Next sections present the parameter estimation and the verification of both previous IM models. 3∼ Autotransformer AC Drive Voltage and current sensors IV. PARAMETER ESTIMATION The parameters of M1 and M2 were estimated from the standard test procedures proposed in [19]. By performing the no-load test at different voltage levels, locked rotor test and load test, IM losses can be indirectly calculated. Then, based on these losses, the complete set of parameters can be obtained. Mentioned tests were performed using the experimental setup shown in Fig. 3. This setup consists on a standard 4 kW (5.5 CV) squirrel cage IM (“Tested motor” in the figure) supplied by an autotransformer for obtaining different voltage levels. Some rated values of the IM are: line voltage: 380 V, phase current: 9 A, frequency: 50 Hz, 4 poles. This IM is coupled through a torque sensor to another IM supplied by a commercial torque-controlled variable speed drive (“AC Drive”), which acts as a programmable load. Two phase currents, two line voltage, mechanical speed and torque were acquired by an oscillographic recorder with a sampling frequency of 8 (kHz) and 12 bit of resolution. Finally, these electric signals were processed by a PC. According to [13], it is necessary readjusting the values of the rotor parameter originally calculated based on the mentioned tests for M1. Rr , Llr and Rsl are readjusted in order to obtain a satisfactory error between variables calculated with M1 and those measured using the experimental setup. It is interesting to note that there is not an mathematical expression for calculating Rsl , therefore it must be empirically determined. A mathematical expression for calculating Rsl was proposed in [12] for model M2. The addition of Rsl in the stator branch produces not only variation in rotor parameters, as in M1, but also in parameters of magnetizing and iron branches (Lm and RF e ). Although, the adjustment of RF e is proposed, other parameters were not treated in [12]. It is concluded that using the method proposed in [13] and [12] for adjusting parameters of the models M1 and M2, it is not possible to obtain satisfactory results for torque, current and efficiency. It was considered satisfactory results those whose relative estimation errors were lower than 10 %. Therefore, in the present paper a nonlinear least–squares method was used for readjusting the following parameters: Rr , Llr , Rsl , Lm and RF e . Variables used for least square method Tested motor Load Torque and speed sensor Fig. 3. Experimental setup. TABLE I PARAMETERS OBTAINED BY THE STANDARD PROCEDURE AND BY THE LEAST– SQUARES METHOD Parameter Model M1 Initial Adjusted Model M2 Initial Adjusted Rs (Ω) Xls (Ω) Rr (mΩ) Xlr (Ω) Xm (Ω) RF e (Ω) Rsl (mΩ) 1.232 2.392 625.8 2.391 36.36 310.1 - 1.232 2.392 627.7 2.392 36.36 346.4 435.6 1.232 2.392 856.5 3.290 42.14 323.0 897.2 1.232 2.392 866.5 1.196 42.01 340.5 568.7 were: electric and mechanical power (Pe and Pm ), efficiency (η), torque (Tm ) and stator current (Is ). For improving the adjusting performance, initial values of the parameters were used and calculated by the methods proposed in [13] and [12]. Table I shows in the second and fourth column the initial values of M1 and M2 parameters, in addition, third and fifth columns show those parameters adjusted using least–squares method. It can be observed important modifications in some parameters due to standard procedures do not take into account the SSLL in the calculation of parameters. Table II shows average values of relative estimation errors calculated with the same data set used for adjusting model parameters. It can be noted that estimation errors are below the 2.5 %, which it is considered by the authors a satisfactory estimation. The analysis performed in this section exposes the need of new standard procedures to determine the complete set of parameters of the IM model, that consider all losses, for the estimation of efficiency, torque and stator current. TABLE II AVERAGE VALUES OF RELATIVE ESTIMATION ERRORS . 0.9 M1 Adjustment M1 M2 ePe ePm eη eTm eIs 2.029 2.077 0.649 2.077 1.580 % % % % % 1.987 2.298 0.567 2.298 1.818 Verification M1 M2 % % % % % 2.687 2.858 0.461 2.858 0.740 % % % % % 2.849 2.983 0.137 2.983 0.896 % % % % % Efficiency 0.85 0.8 0.75 Model Standard tests Additional tests 0.7 0.65 0.01 0.02 0.03 Slip 0.04 0.05 0.03 Slip 0.04 0.05 (a) V. M ODEL VERIFICATION 0.9 In order to verify the presented models additional data were experimentally obtained at five different load levels: 40 %, 60 %, 80 % and 110 % of rated torque. Fig. 4 shows results obtained with M1 and M2 for efficiency versus IM slip (solid line). In addition, experimental data obtained with standard tests (“x”) used for the model parameters adjustment and the new additional data (“*”) were included in the same figure. Torque and stator current versus slip is presented in Fig. 5 and 6, respectively, expressed in pu (per unit, referred to the motor nominal values). Maximum values of efficiency are obtained at s = 0.03, corresponding to 90 % of load torque and 0.97 pu of stator current. In addition, electric power in dashed line and mechanical power in solid line are presented in Fig. 7, where experimental data are included and indicated in the same way as in previous figures. For a quantitative analysis of results, the average value of the relative estimation error for the model verification process (new additional data) are presented in Table II. It can be noted that errors smaller than 3 %, which can be considered a satisfactory estimation, validating the models. Based on the obtained results, it is possible to conclude that both models are suitable for the estimation of efficiency and others IM variables. Nevertheless, in the opinion of the authors, model M2 has the following advantages over model M1: there is a procedure for calculating the initial value of Rsl ; it presents a better representation of the SLL since they can be easily separated from the iron losses by using the standard test procedures [12], [25]; it simplifies the SLL study because they can be estimated from stator currents [22]. 0.85 Efficiency maps (also called iso efficiency contours) are a graphical representation of the efficiency of a machine as a function of rotor speed and torque. They are usually represented as 2D iso contours and are very useful in EV/HEV design applications, such as: full EV efficiency map determination, dimensioning of mechanical transmission [16], simplification of the output power calculation for use in energy flow optimization algorithms [2], evaluation of a machine power consumption given a torque/speed in time specification [7] and IM selection in function of its best high efficiency area. Efficiency 0.8 0.75 0.7 0.65 0.01 0.02 (b) Fig. 4. Efficiency versus slip using model M1 (a) and using model M2 (b). 1.5 Torque (pu) M1 1 0.5 0 Model Standard tests Additional tests 0.01 0.02 0.03 Slip 0.04 0.05 0.03 Slip 0.04 0.05 (a) 1.5 M2 Torque (pu) VI. A PPLICATION OF THE MODELS : E FFICIENCY M AP M2 1 0.5 0 0.01 0.02 (b) Fig. 5. Electromechanical toque versus slip using model M1 (a) and using model M2 (b). 0.05 Mechanical and electrical power (pu) 0.05 Mechanical and electrical power (pu) 1.4 Stator current (pu) M1 1.2 1 0.8 Model Standard tests Additional tests 0.01 0.02 0.03 Slip 0.04 2 M1 1.5 Pe 1 Pm Pm with model Pe with model Standard tests Additional tests 0.5 0 0.01 (a) Stator current (pu) M2 1.2 1 0.8 0.02 0.03 Slip 0.04 (b) 0.05 0.04 0.05 2 M2 1.5 Pe 1 Pm 0.5 0 0.01 0.03 Slip 0.02 (b) Fig. 6. RMS stator current versus slip using model M1 (a) and using model M2 (b). Currently, there are discussions of which is the better way to conform this maps, but normally a set of several tests in different operating points is used [7]. It should be noted that the efficiency measurements from this tests depend on the control algorithm used in the variable speed drive. A model of the machine with an accurate representation of looses makes easy to develop an estimation of the efficiency map. Moreover, different control strategies can be compared without the need to take the whole set of tests for each one. The model used for this application has to be valid in a wide speed range. Currently, there are not proposed models based on M2 for variable speed but it is known that PLh and PLsl depends on the electrical frequency [26], [27]. In [14] a modification of model M1 (Fig. 1) is proposed for variable speed, i.e. making Rf e and Rsl frequency dependent, but it was not validated for different frequencies besides the rated one. In the present work, a similar approach was made for M2 in order to take into account the frequency dependency of these losses. With respect to iron losses, it was proposed that PLh can be approximated as PLh ∝ f 1.3 , resulting in RF e ∝ ωe0.7 [28]. For stray load losses, an extended study of the frequency dependence of PLsl was conducted in [27], showing that it is linearly proportional to supply frequency. Therefore, there were redefined the parameters Rsl and RF e as ω 0.7 Rsl (ωe ) = RslN ωωee ; RF e (ωe ) = RF eN ωe0.7 N 0.04 (a) 1.4 0.01 0.03 Slip 0.02 eN (8) Fig. 7. Electric and mechanical power versus slip using model M1 (a) and using model M2 (b). where ωe is the electrical angular speed, RslN and RF eN are the SLL and iron losses equivalent resistance, respectively, calculated from the standard tests at rated frequency. A recent study shows that Rsl in M2 also depends on supply voltage [22], but it was not considered in the present work. Fig. 8 shows the efficiency maps conformed from the IM model M2 using the above considerations about PLh and PLsl . This map was obtained using estimated torque and electrical and mechanical power calculated from the model for different voltage, frequency and rotor speed. Voltage, frequency and rotor speed values were selected considering a constant V/F control strategy. In order to validate the model with the proposed modification in RF e and Rsl (frequency dependence), additional experimental tests were performed at half rated frequency. In Fig. 8 the points obtained at half rated frequency are shown with “*”, together with the additional data at rated frequency shown in previous section. As it can be seen, the model has a good performance at different frequency from that used for parameter estimation. Torque versus speed and efficiency versus torque at half rated frequency are presented in Fig. 9 and 10, respectively. Solid line indicates results obtained with the model while experimental results are indicated with “*”. Results shown in these figures confirm those observed in Fig. 8. As in the previous section, the good estimation of the variables even at different frequencies is observed. 1.5 74 70 Torque (p.u.) 60 80 65 78 50 1 76 1030 10 30 0 81 80 74 70 65 60 50 0.5 3010 50 60 65 70 74 76 78 80 78 0.2 Fig. 8. 78 76 74 70 65 60 50 30 81 81 80 70 60 50 40 30 80 7678 74 70 65 60 50 10 10 30 10 0.6 1.2 0.4 0.8 1 1.4 Rotor angular speed (p.u.) 20 10 Iso efficiency contours using model M2. Torque (pu) 1.5 1 R EFERENCES 0.5 Model Tests 0 0.44 Fig. 9. 0.46 0.5 0.48 Speed (pu) 0.52 Torque versus speed at half rated frequency using model M2. Efficiency 0.8 0.6 0.4 0.2 Model Tests 0 0 0.5 1 1.5 Torque (pu) Fig. 10. were selected and compared, M1 and M2. A procedure for adjusting its parameters from the results obtained in standard tests was proposed. It was concluded that new analytical procedures must be investigated for calculating the parameters of the models when considering the induction machine losses. From additional tests, both models were validated, concluding that they are suitable for VE/VEH applications, since it is possible to adjust its parameters using a small number of tests and obtaining good estimations of power, current and torque. Because its simplicity and the ease in parameter calculation, it was preferred the use of the model M2. Finally, an application of the selected model was presented, which consists on the construction of an efficiency map of the induction machine from the model. The obtained efficiency map was validated using tests at half rated frequency. In this application, it was concluded that more studies should be performed on the variation of the model parameters when using variable speed drives. Efficiency versus torque at half rated frequency using model M2. With the proposed modification an efficiency map of an IM for a desired control strategy can be easily constructed. It should be noted that only a few tests were accomplished in order to obtain the parameters, i.e. the IEEE 112 standard set of tests. The proposed modification of M2 must be considered as a first attempt in order to get a model usable over an extended speed range. Further studies should be performed for a better validation of the model at variable frequency and an improvement of its accuracy. VII. CONCLUSION Induction machine models to be used in VE/VEH efficiency studies were evaluated. Based on literature, two simple models [1] M. Amrhein and P. Krein, “Dynamic simulation for analysis of hybrid electric vehicle system and subsystem interactions, including power electronics,” Vehicular Technology, IEEE Transactions on, vol. 54, no. 3, pp. 825–836, 2005. [2] L. V. Pérez and E. A. Pilotta, “Optimal power split in a hybrid electric vehicle using direct transcription of an optimal control problem,” Mathematics and Computers in Simulation, vol. 79, no. 6, pp. 1959– 1970, Feb. 2009. 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