Design of Regenerative Anti-Lock Braking System Controller for 4 In-Wheel-Motor Drive Electric Vehicle with Road Surface Estimation

Author:

Aksjonov Andrei,Vodovozov Valery,Augsburg Klaus,Petlenkov Eduard

Publisher

Springer Science and Business Media LLC

Subject

Automotive Engineering

Reference48 articles.

1. Acosta, M. and Kanarachos, S. (2017). Tire lateral force estimation and grip potential identification using neural networks, extended Kalman filter, and recursive least square. Neural Computing and Applications, 1–21

2. Aksjonov, A., Augsburg, K. and Vodovozov, V. (2016). Design and simulation of the robust ABS and ESP fuzzy logic controller on the complex braking maneuvers. Applied Sciences 6, 12, 382–390

3. Aly, A. A. (2010). Intelligent fuzzy control for antilock brake system with road-surfaces identifier. Proc. IEEE Int. Conf. Mechatronics and Automation (ICMA), Xi'an, China.

4. Bansal, R. C. (2005). Electric Vehicles, in: Emadi, A. (Ed.) Handbook of Automotive Power Electronics and Motor Drives. Taylor & Francis. Boca Raton, Florida, USA, 55–96

5. Castillo, J. J., Cabrera, J. A., Guerra, A. J. and Simon, A. A. (2016). Novel electrohydraulic brake system with tire-road friction estimation and continuous brake pressure control. IEEE Trans. Industrial Electronics 63, 3, 1863–1875

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