Field-oriented control of a permanent magnet synchronous motor

MOTOR CONTROL TECHNIQUES FOR ELECTRIC VEHICLE APPLICATIONS

FINAL PRESENTATION

Student: Shaeeza Adam (217020963) Supervisor: A. K. Saha

Date 24-11-2021

OVERVIEW

7. References

1. Introduction

4. Simulations

5. Demonstration

2. Theoretical Framework

6. Conclusion

3. Specifications

1. inTRODUCTION

Problem Identification

• Transportation is a need in modern societies [1-3]
• Gasoline fuelled vehicles solve this problem but are not sustainable [1-3]
• Rising environmental awareness creates the need for a greener solution [1-3]
• The electric vehicle was developed as a solution to the need for a more environmentally friendly solution to the transportation requirements of society [2-4]
• Motor control is one of the significant aspects in electric vehicle design [1-5]
• This design aims to oversee the control strategy implemented to EV motors [1 -4]

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2. Theoretical Framework

The System Design

• Three most popular EV motors in 2018: IM, PM synchronous motor and Switched reluctance motor [4-8].
• Three high efficiency control strategies were considered: FOC, DTC and field weakening control [3-5].

Figure 1: System diagram of a battery electric vehicle [2-4]

Solution One: Direct Torque Control (DTC)

The Alternate Solution

Figure 2: Block diagram of direct torque control on PMSM [1-2].

Solution Two: Field Oriented Control (FOC)

The Implemented Solution

Figure 3: Block diagram representation of field oriented control on PMSM [1-2].

3. sPECIFICATIONS

Vehicle Specifications

• Selected vehicle: hatchback roughly based on Renault Zoe
• Driven on motorways and in urban and suburban areas
• Table 1: Vehicle parameters [9]

3. sPECIFICATIONS

Motor Specifications

Table 2: Motor specifications [9]

Table 2: Motor parameters [9]

Figure 3: Force diagram of vehicle [8]

3. sPECIFICATIONS

Battery and Peripherals Specifications

Table 3: Inverter specifications [2]

• 400 V lithium ion battery pack is selected to deliver a peak voltage of 266.7 V
• Controller must have an efficiency of at least 90%
• No significant oscillations must be present

4. SImULAtION

Plant Model

Figure 4: Plant model on Simulink [3-5] [8-12]

Plant Model

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Figure 6: Inverter results

Figure 5: SVPWM results

Vehicle Model

Figure 7: Vehicle model

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5. DemOnStRATION

OBJECTIVES

The following objective were identified and met during the course of this project:

Achieved

• Speed control using a drive cycle input in km/h
• Efficiency of at least 90%
• Maximum overshoot/undershoot of 10%
• No significant oscillations under constant velocity regions

Achieved

Achieved

Achieved

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6. ConCLUSION

Motor Control Techniques in EV Applications

• FOC control of PM synchronous motors in electric vehicles
• Speed controller achieved a greater efficiency than current controller
• Efficiency of 93.74% was achieved
• All design objectives were achieved according to the developed specifications

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8. ReFeRenCES

[1] G. A. Covic, J. T. Boys, M. L. G. Kissin, and H. G. Lu, “A three-phase inductive power transfer system for roadway-powered vehicles,” IEEE Trans. Ind. Electron., vol. 54, no. 6, pp. 3370–3378, Dec. 2007. [2] S. Delprat, T. M. Guerra, and J. Rimaux, “Control strategies for hybrid vehicles: synthesis and evaluation,” in Proceedings of the 58th IEEE Vehicular Technology Conference (VTC ’03), vol. 5, pp. 3246–3250, October 2003. [3] A. F. Burke, “Batteries and ultracapacitors for electric, hybrid, and fuel cell vehicles,” Proc. IEEE, vol. 95, no. 4, pp. 806–820, Apr. 2007. [4] C. W. Tao and J.-S. Taur, “Flexible complexity reduced PIDlike fuzzy controllers,” IEEE Transactions on Systems, Man, and Cybernetics B: Cybernetics, vol. 30, no. 4, pp. 510–516, 2000. [5] A. Brahma, B. Glenn, Y. Guezennec, T. Miller, G. Rizzoni, and G. Washington, “Modeling, performance analysis and control design of a hybrid sport-utility vehicle,” in Proceedings of the IEEE International Conference on Control Applications (CCA ’99), pp. 448–453, Kohala Coast, Hawaii, USA, August 1999. [6] H.-D. Lee, E.-S. Koo, S.-K. Sul, and J.-S. Kim, “Torque control strategy for a parallel-hybrid vehicle using fuzzy logic,” IEEE Industry Applications Magazine, vol. 6, no. 6, pp. 33–38, 2000. [7] S. Galichet and L. Foulloy, “Fuzzy controllers: synthesis and equivalences,” IEEE Transactions on Fuzzy Systems, vol. 3, no. 2, pp. 140–148, 1995. [8] S. D. Farrall and R. P. Jones, “Energy management in an automotive electric/heat engine hybrid powertrain using fuzzy decision making,” in Proceedings of the IEEE International Symposium on Intelligent Control, pp. 463–468, Chicago, Ill, USA, August 1993. [9] M. Ehsani, Y. Gao, and J. M. Miller, “Hybrid electric vehicles: architecture and motor drives,” Proceedings of the IEEE, vol. 95, no. 4, pp. 719–728, 2007. [10] C. C. Chan and K. T. Chau, “An overview of power electronics in electric vehicles,” IEEE Trans. Ind. Electron., vol. 44, no. 1, pp. 3–13, Feb. 1997. [11] S. Pathak and R. Prakash, “Development of high-performance AC drive train,” in Proc. IEEE ICEHV, 2006, pp. 1–3. [12] S. S. Williamson, A. Emadi, and K. Rajashekara, “Comprehensive efficiency modeling of electric traction motor drives for hybrid electric vehicle propulsion applications,” IEEE Trans. Veh. Technol., vol. 56, no. 4, pp. 1561–1572, Jul. 2007.

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