International Conference on Green Power Technology in Power Grid : Issues, Challenges & Control (ICGPTPG-2019) Modelling of Switched Reluctance Motor Drive for Electric Vehicle Application Santhan Kumar Ch*1, Aishwarya Verma*2, A. Shanmukha Sai*3, G. Shirisha*4, J. Bharath Raj*5 , T. Dileep Kumar*6 1,2,3,4,5,6 Bharat Institute of Engineering and Technology, Hyderabad motors and switched reluctance motors (SRMs) due to the presence of rotor winding and rotor copper losses. Abstract— The environmental impact of the transportation sector is significant due to the combustion of fuels. This creates air pollution and is a significant contributor to global warming through the emission of harmful gases. Due to the problems caused by the internal combustion engine (ICE), the automotive industry has turned to the electrical powered vehicle. The electric vehicle (EV) model consists of one or more electric motors powered by a battery pack that can be charged using an on-board generator and the regenerative braking technology to power the transmission. Among the motors like Brushed DC motor, Induction motor, Brushless DC motor, Permanent Magnet Synchronous motor and Switched reluctance motor (SRM) which can be used in EVs, the SRMs have become one of the best choices for electric vehicle drive because it exhibits prominent advantages over other kinds of the electric drive system. In this paper, the modelling of SRM drive using MATLAB/Simulink will be done for EV application. Brushless DC (BLDC) Motors are specifically known for their high efficiency and high power density. Using permanent magnet there is no need for production of energy for stator supply like induction motors and SRMs. BLDC motor drives have drawbacks like the expensive magnet, reduced torque in the motor due to the mechanical strength of the magnet and they have no brush to limit speed which restricts the maximum speed if the motors are of an innerrotor type [3]. Permanent Magnet Synchronous Motors (PMSMs) are available for higher power ratings and high efficiency. PMSM is the best choice for high-performance applications like cars, buses. Despite the high cost, PMSM is providing stiff competition to induction motors due to increased efficiency than the latter. Most of the automotive manufacturers use PMSMs for their hybrid EVs [4]. Keywords— Electric Vehicles, Switched reluctance motors, Zero Pollution, PI Controller. I. INTRODUCTION Switched reluctance motor (SRM) drives are gaining much interest and are recognized to have a potential for EV applications. These motor drives have definite advantages such as simple and rugged construction, fault-tolerant operation, simple control, and outstanding torque-speed characteristics. The rotor structure is extremely simple without any windings, magnets, commutators or brushes. The SRM drive has high-speed operation capability with a wide constant power region and has high starting torque and high torque-inertia ratio. The disadvantages of SRM drives are that they have to suffer from torque ripple and acoustic noise. However, these are not potential problems that prohibit its use in EV application. Electric vehicles (EVs), those that use electric motors instead of Internal Combustion Engine(ICE), have become very popular. Those who strive to protect the environment and go green opt electric vehicles. The rapid development in the field of power electronics and control mechanisms has created a space for the usage of various types of electric motors in EVs. The electric motors used for automotive applications should have characteristics like high starting torque, high power density, good efficiency, reasonable cost and high fault tolerance, etc [1]. As there are various types of Electric motors. The Automotive industry is still seeking for more relevant electrical drives for EVs as a challenging issue [2]. The comparative investigation in the efficiency, weight, cost, cooling, maximum speed, and fault-tolerance, safety, and reliability for above-discussed motor drives have resulted in favour of SRMs. SRM drives are considered superior to other types of motor drives for EVs. Therefore, SRM drives are ideally suitable for EV applications nowadays [3]. Brushed DC motors are well known for their ability to achieve high torque at low speed and their torque-speed characteristics suitable for the traction requirement and they have been used on EVs. However, brushed DC motor drives have a bulky construction, low efficiency, low reliability, and higher need for maintenance, which makes them more heavy and expensive. The paper presents a simulation model of SRM drive. In section II the details of SRM is discussed. In section III modelling of SRM drive is presented for which is practical simulation in MATLAB is presented in section IV. Section V presents the simulation results for the behaviour of the model. Finally, section VI gives concluding remarks. Induction motors (IMs) are simple in construction, reliability, ruggedness, low maintenance, low cost, and ability to operate in hostile environments. The absence of brush friction allows the motors to raise the limit for maximum speed, and the higher rating of speed enable these motors to develop high output. However, the controllers of IMs are at a higher cost than the ones of DC motors. Furthermore, the presence of a breakdown torque limits its extended constant-power operation and IMs efficiency is inherently lower than that of permanent magnetic (PM) II. SWITCHED RELUCTANCE MOTOR The switched reluctance motor (SRM) is a type of stepper motor that runs by reluctance torque. The mechanical model is simplified to a great extent as it doesn’t have any 250 International Conference on Green Power Technology in Power Grid : Issues, Challenges & Control (ICGPTPG-2019) winding on rotor but adds on electronic devices which make the operation complex. Electronic devices can precisely time switch, facilitating SRM configurations. Its main drawback is torque ripple [5]. (a) Fig. 1 Desired output characteristics of electric motor drives in EVs (b) 12/10 poles Fig. 3 Switched reluctance motor configurations. (a) One tooth per pole. (b) Two teeth per pole (12/10 poles). B. Principle of Operation The physical principle behind the SRM is the reluctance principle. The first is that the magnetic analogue of current, called flux, needs to travel the path of least magnetic resistance, called reluctance. The second is that low reluctance materials like iron and its, nickel, cobalt, etc.; tend to strongly align to an incident magnetic field. Thus a reluctance motor merely has a rotor with alternating regions of high and low reluctance on it, and a stator with several electromagnets that when energized in sequence (and regardless of polarity) will pull the low reluctance regions or poles, along [6]. Fig. 2 Conventional characteristics of an SRM The torque-speed characteristics of the SRM drive match very well with the EV load characteristics. The SRM drive has high-speed operation capability with a wide constant power region. The motor has a high starting torque and high torque-inertia ratio [4]. A. Structure of SRM The origin of this motor can be traced back to 1842, but the “reinvention” has been possible due to the advent of inexpensive, high-power switching devices. It has wound field coils of a dc motor for its stator and has no coils or magnets on its rotor. Both the stator and rotor have salient poles, hence the machine is referred to as a doubly salient machine [1]. C. Equivalent Circuit of SRM An elementary equivalent circuit for the SRM can be derived neglecting the mutual inductance between the phases as follows. The applied voltage to a phase is equal to the sum of the resistive voltage drop and the rate of the flux linkages and is given as: Because of its simple construction, low rotor inertia and wide speed range operation, SRM is particularly suitable for gearless operation in EV propulsion. In addition, the absence of magnetic sources (i.e., windings or permanent magnets) on the rotor makes SRM relatively easy to cool and insensitive to high temperatures. The latter is of prime interest in automotive applications, which demand operation under harsh ambient conditions [3]. V Rs .i d ( , i) dt (1) where Rs is the resistance per phase, and is the flux linkage per phase given by: L( , i ).i (2) where L is the inductance dependent on the rotor position and phase current. The phase voltage equation, then, is The SRM can be designed in 3-phase i.e., 6/4 pole (which has six stator poles and four rotor poles), 4-phase i.e., 8/6 pole, with one tooth per pole. And as 12/10 poles with two teeth per pole, as shown in the figure: V d ( L( , i).i) dt di d dL( , i ) Rs .i L( , i). i. . dt dt d di dL( , i ) Rs .i L( , i ). i. m . dt d Rs .i (3) In this equation, the three terms on the right-hand side represent the resistive voltage drop, inductive voltage drop, 251 International Conference on Green Power Technology in Power Grid : Issues, Challenges & Control (ICGPTPG-2019) The air gap power is the product of the electromagnetic torque and rotor speed given by: and induced emf, respectively, and the result is similar to the series excited dc motor voltage equation. The induced emf, e, is obtained as: dL( , i ) . d k b . m .i e e m Pa .i dL( , i ) d Te Rs .i 2 i2. dL( , i) dt L( , i ).i. di dt (12) A. Block Diagram of SRM Drive Fig. 7 shows a block diagram of SRM drive. The motor is excited by a sequence of DC pulses applied at each phase using the converter circuit. The individual phases of an SRM are consequently excited forcing the motor to rotate. The current pulses need to be applied to the respective phase at the exact position of the rotor relative to the exciting phase. So, the exact position of the rotor is needed. This can be achieved with the help of a rotor position sensor via angle control. Fig. 5 Single-phase equivalent circuit of SRM V .i 1 2 dL( , i ) .i . 2 d III. MODELLING OF SWITCHED RELUCTANCE MOTOR DRIVE Substituting for the flux linkages in the voltage equation and multiplying with the current results in instantaneous input power given by: Pi (11) This completes development of the equivalent circuit and equations for evaluating electromagnetic torque, air gap power, and input power to the SRM both for dynamic and steady-state operations [7]. (5) Note that the emf constant is dependent on the operating point and is obtained with a constant current at the point. From the voltage equation and the induced emf expression, the equivalent circuit for one phase of the SRM is derived and shown in Fig. 5. .Te From which the torque is obtained by equating these two equations as: (4) where kb may be construed as an emf constant similar to that of the dc series exciting machine and is given here as: kb m (6) Here, the last term is physically uninterpretable; to draw a meaningful inference, it may be cast in terms of known variables as in the following: d 1 .L( , i ).i 2 dt 2 L( , i).i. di dt 1 2 dL( , i ) .i . (7) 2 dt So now we have, Pi d 1 .L( , i).i 2 dt 2 R s .i 2 1 2 dL( , i ) .i . 2 dt (8) Fig. 6 SRM Drive System The controller collects the information and also the reference speed signal and suitably turns on and off the concerned power semiconductor devices of the switching circuit so that the desired phase winding is connected to DC supply. The current signal is also feedback to the controller circuit to limit the motor current within permissible limits. where Pi is the instantaneous input power. This equation is in the familiar form found in introductory electro-mechanics texts, implying that the input power is the sum of the winding resistive losses given by Rs*i2, the rate of change of 2 the field energy given by P*[1/2.L( ], and the air gap power, Pa, which is identified by the term [i2. i)]/2, where p is the differential operator, d/dt. Substituting for the time in terms of the rotor position and speed, with t (9) B. Power Converter Among various types of converter, configurations are Asymmetric, Miller, C-dump, R-dump, Bifilar, Buck-Boost, Resonant, etc. the standard type of converter used for modelling of 6/4 pole SRM is the Asymmetric bridge converter [1]. (10) C. Controller The current signal is set within limits by using a hysteresis controller. The speed control of SRM can be done using controllers like PI (Proportional Integral) controller, Hysteresis type, Pulse Width Modulation (PWM), SelfTuning Adaptive Control, Fuzzy-PI Control, ANFIS (Adaptive Neuro-Fuzzy Inference System) Control. m in the air gap power results in: Pa Pa 1 2 dL( , i) 1 2 dL( , i) d .i . .i . . 2 2 dt d dt 1 2 dL( , i ) .i . . m 2 d 252 International Conference on Green Power Technology in Power Grid : Issues, Challenges & Control (ICGPTPG-2019) D. Rotor Position Sensor To develop positive torque, the currents in the phases of an SRM must be to the rotor position. The following figure shows the ideal waveforms (Phase A inductance and current) in a 6/4 SRM. Turn-on and turn-off angles refer to the rotor position where the converter’s power switch is turned on and turned off, respectively [5]. Te (i a , ) 2 ia . dLa (i a , ) d (15) The torque of the SRM is a function of the current and rotor position. For a motor to develop positive torque, the excitation must be in the positive inductance region. If excitation persists in the negative inductance region, the effective torque decreases because of the negative torque development. Dynamic torque equation of the motor is given by, Te Tl J. d dt Bm . (16) where Tl is the load torque, J is the rotor inertia and Bm is the viscous friction of the motor. Finite element analysis is used for the magnetic and torque analysis [8]. IV. MATLAB MODEL OF SRM DRIVE A. SRM Block Specifications The simulation of a 6/4 switched reluctance motor based on MATLAB/Simulink environment is shown in the figure below. Set the switched reluctance motor block to 6/4 (60 kW preset model), to use a predetermined specific model of a switched reluctance motor. Due to magnetic saturation, the inductance profile is generally nonlinear. But if the nonlinearity is included the computational burden also increases. So, to just to have a preliminary understanding, the linearized inductance profile of SRM is used. Fig. 7 Inductance and current profile So, the exact position of the rotor is needed. This can be achieved with the help of a rotor position sensor. A rotor position sensor is used to generate precise firing command for the power switches in converters ensuring the drive circuit stability, direction of rotation and fast dynamic response. E. Modelling Equations The voltage applied across the stator winding is given by, Va Ra .i a La (i a , ). di a dt Eb In the MATLAB simulation of switched reluctance motor the following specification are used: Number of stator and rotor poles = 6/4, Frequency [F] = 50 Hz, Number of phases = 3, DC supply voltage [Vdc] = 240 volts, Turn on and off angle = 45° and 75° respectively, Reference current = 200 amps, Hysteresis band = +10, -10.Friction = 0.01 N-M s, Unaligned inductance = 0.7 m H, Aligned Inductance = 20 m H, Stator resistance [Rr] = 0.01ohms/phase, Moment of inertia [J] = 0.0082Kg-m/sec. (13) where Va is the applied voltage, ia is stator winding current, Ra is the winding resistance, La is stator winding inductance and Eb is the back emf. Flux developed in the stator winding is given by, a i a .La (i a , ) (14) Torque developed by the motor is given by, 253 International Conference on Green Power Technology in Power Grid : Issues, Challenges & Control (ICGPTPG-2019) Fig. 8 Simulation model of SRM with PI controller B. Asymmetric Converter Block We assume H-bridge asymmetric converter while simulating the machine model. In which each machine phase is connected to an asymmetric half-bridge consisting of two power switches and two diodes. The power switches used are IGBTs (Insulated Gate Bipolar Transistors). Asymmetric half-bridges permit soft-switching operations as well, as a result obtaining a zero-voltage freewheeling state i.e., the phase is energized from the positive DC voltage and de-energized at zero voltage. No restriction exists to prevent energizing two phases at the same time, thus achieving higher torque [9]. The conditions for voltage switching arei. When, 0° < Rotor angle < Turn-on angle, then Voltage = 0 ii. When Turn on angle <= Rotor angle < Turn-off angle, then Voltage = +V. iii. When Turn-off angle <= Rotor angle < d), then Voltage= -V. Fig. 10 H-Bridge Asymmetric Configuration The control takes place applying the voltage source to a phase coil at turn-on angle, on, until a turn-off angle, off. After that, the applied voltage is reversed until a certain demagnetizing angle d, which allows the return of the magnetic flux toward zero. To apply voltage V in one phase, the two IGBTs in Figure (b) must be ON. On the contrary, to apply the negative voltage, -V and assure the current continuity, the two diodes D and D1 are used [10]. C. Hysteresis current control Power switches are switched off or on according to the current is greater than or less than a reference current. The instantaneous phase current is measured and feedback to the summing junction. The error is used directly to control the states of power transistors. It limits the current between +10A to -10A. 254 International Conference on Green Power Technology in Power Grid : Issues, Challenges & Control (ICGPTPG-2019) D. Position Sensor The control of an SRM is dependent on knowledge of the relative and absolute rotor position. The current reference is dependent on the advance turn-on angle and commutation angle to maximize the air gap torque. Hence, an incremental rotor angle is required to vary these control angle variables. But, the control angles are developed with respect to a constant or stator phase (a set of poles). Therefore, the absolute rotor position information must position the advance turn-on and commutation angles to generate the 2) Output ‘m’: The block output m is a vector containing several signals. We can demultiplex these signals by using the Bus Selector block from the Simulink library. The signals are stator voltages, flux linkages, stator currents, electromagnetic torque, rotor speed, rotor position [11]. V. SIMULATION RESULTS The simulation results of the SRM model operating at no load are obtained and are presented. E. PI Controller Block The speed of SRM is controlled by a PI controller. The controller has simplicity, lowest cost, zero steady-state error, ease of implementation, good speed response and robustness. In order to provide the desired performance of SRM, a feedback control system is employed for speed control of SRM drive. The tuned values of PI controller constants are dependent on the system. Fig. 13 Flux generated in three phases of SRM ")* #&( + % ' $ !s the back emf induced voltage, which will be high for higher speeds is shown in fig.13. To increase the current growth and avoid a high back emf opposition, switching operation takes place at the turn on angles. Using the linear inductance profile the minimum back emf value will be zero since L/ = 0. Fig. 12 PI controller internal block The parameters Kp and Ki were obtained via a trial and error format. u K p . e Ki e.dt Fig. 14 Three-phase currents of SRM (17) Fig.14 indicates that no-load torque the numbers of current chopping increase rapidly for each phase and switching operation between phases to make the motor running at a steady-state constant speed [10]. The combination of proportional and integral terms is used to increase the speed of response and to eliminate the steady-state error. e Setpo int Output (18) Where e is the error or deviation of actual measured value (output) from the set point. The controller attempts to minimize the error signal e over time by adjusting the controller output to a new value. Since the PI controller depends only on the measured variable, it is broadly applicable. Stator resistance is 0.05ohms and inertia of the motor 0.05kg/m2. The value of the constants of the controller KP and Ki is dependent on the system to be controlled, so after tuning appropriately and testing for best condition, the values of the constants used for this analysis were obtained as, KP = 50, Ki = 0.1 [11]. Fig. 15 Torque generated by SRM From the torque equation, the torque is directly proportional to the square of the current, therefore the torque of the switched reluctance motor is independent of current direction but it depends on dL/d value. Since the value of dL/d is positive, the torque of switched reluctance motor is also positive, shown in fig.15. But this torque contains a lot of noise and harmonics [12-13]. F. Inputs and Outputs to SRM Block 1) Input ‘TL’: The block input is the mechanical load torque (in N-m). TL is positive in motor operation and negative in generator operation. 255 International Conference on Green Power Technology in Power Grid : Issues, Challenges & Control (ICGPTPG-2019) REFERENCES [1] [2] [3] [4] Fig. 16 The speed of SRM The speed of SRM is shown in Fig. 16, Fast response and quick recovery from load disturbances and insensitivity to parameter variations are some of the principal criteria in designing and implementing a highperformance variable speed electric motor drive system. [5] Conventional PI controller based motor drive systems can help in achieving the desired performance of SRM which implements accurate mathematical models to describe the system dynamics. The potential of switched reluctance motor is highly greater, particularly in motion control. At the same time, it gives high performance in harsh conditions like dusty environment and high temperature. [6] [7] [8] [9] VI. CONCLUSION For the proposed PI controller strategy, it can improve both torque ripple and electric efficiency simultaneously, therefore, the dynamic performance of SRM and EV can be improved greatly. Thus the 6/4 switched reluctance motor is driven by asymmetric bridge converter and it has simple construction and control compared to a commutation motor. The SRM drive was modelled on Simulink and simulated for best performance. The PI controller gave the best result in terms of elimination of speed overshoot and steady-state error. [10] [11] [12] [13] 256 Krishnan, R., 2001. Switched Reluctance Motor Drives. Industrial Electronics Series. Baltatanu, A. and Florea, L.M., 2013, May. Comparison of electric motors used for electric vehicles propulsion. In de Proceedings of the Scientific Conference AFASES, Brasov. Xue, X.D., Cheng, K.W.E. and Cheung, N.C., 2008, December. Selection of electric motor drives for electric vehicles. In 2008 Australasian Universities Power Engineering Conference (pp. 1-6). IEEE. He, C., Hao, C., Qianlong, W., Shaohui, X. and Shunyao, Y., 2016, November. Design and control of switched reluctance motor drive for electric vehicles. In 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV) (pp. 1-6). IEEE. Patil, R.D. and Bindu, R., 2015. Modelling and Control of Switched Reluctance Motor for Hybrid Electric Vehicle. International Journal of Advance Electrical and Electronics Engineering, 4(2). Instruments, T., 1997. Digital signal processing solutions for the switched reluctance motor. Technical Report BPRA058. Texas Instruments Europe. Hasan, M.R., Hoque, M.A. and Ahmed, A., 2012. A Comprehensive model of SRM in Matlab environment. International Journal of Engineering & Computer Science IJECSIJENS, 12, pp.89-96. Anyalebechi, A.E., 2018. SIMULATION OF SPEED CONTROL TECHNIQUES OF SWITCHED RELUCTANCE MOTORS (SRM). SIMULATION, 5(12). Jambulingam, V., 2016. Mathematical Modeling and Simulation of Switched Reluctance Motor. International Journal for Research in Applied Science & Engineering Technology, 4(IV). "The History of the Electric Vehicle", Leland-West Insurance www.lelandwest.com, 2019. [Online]. Available: https://www.lelandwest.com/history-of-the-electric-vehicle.cfm. [Accessed: 26- Nov- 2019]. "Different Types of Motors used in Electric Vehicles", Circuitdigest.com, 2019. [Online]. Available: https://circuitdigest.com/article/different-types-of-motors-used-inelectric-vehicles-ev. [Accessed: 26- Nov- 2019]. "Switched reluctance motor", En.wikipedia.org, 2019. [Online]. Available: https://en.wikipedia.org/wiki/Switched_reluctance_motor. [Accessed: 26- Nov- 2019]. J. Jenkins, "Charged EVs | A closer look at switched reluctance motors", Chargedevs.com, 2019. [Online]. Available: https://chargedevs.com/features/a-closer-look-at-switchedreluctance-motors/. [Accessed: 26- Nov- 2019].