Driver intention based coordinate control of regenerative and plugging braking for electric vehicles with in-wheel PMSMs

Driver intention based coordinate control of regenerative and plugging braking for electric vehicles with in-wheel PMSMs

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Electric vehicles have been the focus of the automotive industry in recent years. However, relatively small driving range of electric vehicles makes it not be broadly adopted in the market. Regenerative braking is one of the most effective ways to extend the endurance of electric vehicles. To sufficiently utilise the regenerative braking of electric vehicles and explore the potential of the electric motor plugging braking capability to simplify the braking system structure and reduce the cost, a new braking strategy based on the driver's braking intention and motor working characteristics is proposed. Driver's braking intention is classified as the emergency braking and the normal braking. In the case of normal braking, model predictive control (MPC) is used to express driver's braking intention. By adjusting the weight of the MPC cost function, different braking intentions can be achieved. This strategy is able to achieve as much as possible braking energy recovery without violating the driver's braking intention. In the case of the emergency braking, the sliding mode based optimal slip ratio control is adopted and it is able to obtain the shortest braking distance. In order to validate the effectiveness of the proposed approach, numerical simulations on a quarter-vehicle braking model are tested.


    1. 1)
      • 1. Juliane, H., Amila, K., Ralf, R.: ‘Role of driver assistance experience, system functionality, gender, age and sensation seeking in attitudes towards the safety of driver assistance systems’, IET Intell. Transp. Syst., 2015, 9, (7), pp. 716726.
    2. 2)
      • 2. Zhen, W., John, X., Dunant, H.: ‘Braking force control strategy for electric vehicles with load variation and wheel slip considerations’, IET Electr. Syst. Transp., 2017, 7, (1), pp. 4147.
    3. 3)
      • 3. Antony, M., Praveen, R.R.S.: ‘Four quadrant operation of vector control of PMSM with dynamic braking’. 2015 Int. Conf. Control Communication & Computing India (ICCC), Trivandrum, India, November2015, pp. 161164.
    4. 4)
      • 4. Bian, Y., Lijing, Z., Hao, L., et al: ‘Regenerative braking strategy for motor hoist by ultracapacitor’, Chin. J. Mech. Eng., 2012, 25, (2), pp. 377384.
    5. 5)
      • 5. Dinçmen, E., Bilin, A.: ‘A control strategy for parallel hybrid electric vehicles based on extremum seeking’, Veh. Syst. Dyn., 2012, 50, (2), pp. 199227.
    6. 6)
      • 6. Han, C., Ziming, Q., Hao, Q., et al: ‘Test platform design for regenerative braking of hub-motor’, Cogent. Eng., 2016, 3, pp. 18.
    7. 7)
      • 7. Hongxing, W., Li, L., Bao-quan, K., et al: ‘The research on energy regeneration of permanent magnet synchronous motor used for hybrid electric vehicle’. IEEE Vehicle Power and Propulsion Conf. (VPPC), November 2008, Harbin, China.
    8. 8)
      • 8. Jing, G., Minggao, O., Jianqiu, L., et al: ‘Driving and braking control of PM synchronous motor based on lowresolution hall sensor for battery electric vehicle’, Chin. J. Mech. Eng., 2013, 26, (1), pp. 110.
    9. 9)
      • 9. Joice, C., Sheeba, S., Paranjothi, V.: ‘Digital control strategy for four quadrant operation of three phase BLDC motor with load variations’, IEEE Trans. Ind. Inf., 2013, 9, (2), pp. 974982.
    10. 10)
      • 10. Kim, D., Jung-Hyo, L., An-Yeol, K., et al: ‘Braking torque control method of ipmsm for electric vehicle using 2D look-up table’. 2013 IEEE Int. Symp. Industrial Electronics (ISIE), Taipei, Taiwan, May 2013.
    11. 11)
      • 11. Liang, L., Xujian, L., Xiangyu, W., et al: ‘Transient switching control strategy from regenerative braking to anti-lock braking with a semi-brake-by-wire system’, Veh. Syst. Dyn., 2016, 54, (2), pp. 231257.
    12. 12)
      • 12. Yufeng, L., Yun, Z., Leilei, H., et al: ‘Longitudinal collision avoidance control of electric vehicles based on a new safety distance model and constrained-regenerative-braking-strength-continuity braking force distribution strategy’, IEEE Trans. Veh. Technol., 2016, 65, (6), pp. 40794094.
    13. 13)
      • 13. Long, B., Shin, L., Ji, R., et al: ‘Energy-regenerative braking control of electric vehicles using three-phase brushless direct-current motors’, Energies, 2014, 7, pp. 99114.
    14. 14)
      • 14. Ming-Ji, Y., Jhou, H., Ma, B., et al: ‘A cost-effective method of electric brake with energy regeneration for electric vehicles’, IEEE Trans. Ind. Electron., 2009, 56, (6), pp. 22032212.
    15. 15)
      • 15. Nam Myung, J., Kwan, Y., Hag, W.K., et al: ‘Braking algorithm considering voltage limit condition for surface mounted PM synchronous motor’. 18th Int. Conf. Electrical Machines and Systems (ICEMS), Pattaya city, Thailand, October 2015.
    16. 16)
      • 16. Farshid, N., Ebrahim, F., Teymoor, G.: ‘An efficient regenerative braking system based on battery/supercapacitor for electric, hybrid and plug-in hybrid electric vehicles with BLDC motor’, IEEE Trans. Veh. Technol.., 2017, 66, (5), pp. 37243738.
    17. 17)
      • 17. Obed, A.A., Abdulabbas, A.K., Ahmed, J.C.: ‘Plugging braking of two-PMSM drive in subway applications with fault-tolerant operation’, Iraq J. Electr. Electron. Eng., 2016, 12, (1), pp. 112.
    18. 18)
      • 18. Pagano, E., Veneri, O.: ‘Regenerative motor and plug braking operations of electrical drives for road vehicles’, COMPEL –Int. J. Comput. Math. Electr. Electron. Eng., 2002, 21, (1), pp. 5868.
    19. 19)
      • 19. Ning, Q., Xuan, D., Kim, Y.: ‘Modeling and control strategy development for fuel cell hybrid vehicles’, Int. J. Autom. Technol., 2010, 11, (2), pp. 229238.
    20. 20)
      • 20. Ye, M., Bai, Z., Cao, B.: ‘Robust control for regenerative braking of battery electric vehicle’, IET Control Theory Appl., 2008, 2, (12), pp. 11051114.
    21. 21)
      • 21. Yuan, L., Haiyan, Z., Hong, C., et al: ‘Nonlinear MPC-based slip control for electric vehicles with vehicle safety constraints’, Mechatronics, 2016, 38, (12), pp. 115.
    22. 22)
      • 22. Atev, S., Arumugam, H., Masoud, O., et al: ‘A vision-based approach to collision prediction at traffic intersections’, IEEE Trans. Intell. Transp. Syst., 2005, 6, (4), pp. 416423.
    23. 23)
      • 23. Wang, P., Wang, J., Chan, C., et al: ‘Trajectory prediction for turning vehicles at intersections by fusing vehicle dynamics and driver's future input estimation’, Transp. Res. Rec., 2016, 2602, pp. 6877.
    24. 24)
      • 24. Shladover, S., Tan, S.: ‘Analysis of vehicle positioning accuracy requirements for communication-based cooperative collision warning’, J. Intell. Transp. Syst.: Tech. Plann. Oper., 2006, 10, (3), pp. 131140.
    25. 25)
      • 25. Tan, H., Huang, J.: ‘DGPS-based vehicle-to-vehicle cooperative collision warning: engineering feasibility viewpoints’, IEEE Trans. Intell. Transp. Syst., 2006, 7, (4), pp. 415428.
    26. 26)
      • 26. Zhou, X., Fang, J.: ‘Precise Braking torque control for attitude control flywheel with small inductance brushless DC motor’, IEEE Trans. Power Electron., 2013, 28, (11), pp. 53805390.
    27. 27)
      • 27. Chihoon, J., Sungho, H., Hyunsoo, K.: ‘Clamping-force control for electromechanical brake’, IEEE Trans. Veh. Technol., 2010, 59, (7), pp. 32053212.
    28. 28)
      • 28. Javier, F., Matthew, A., Karolos, G.: ‘Real-time brake torque estimation for internal combustion engines’, Mech. Syst. Signal Process., 2008, 22, pp. 338361.

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