Energies 2011, 4(9), 1461-1477; doi:10.3390/en4091461
Article

An Intelligent Regenerative Braking Strategy for Electric Vehicles

Guoqing Xu 1,2 email, Weimin Li 3,* email, Kun Xu 3 email and Zhibin Song 3 email
1 Department of Electrical Engineering, Tongji University, Shanghai 200092, China 2 Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong, China 3 Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
* Author to whom correspondence should be addressed.
Received: 12 May 2011; in revised form: 2 September 2011 / Accepted: 6 September 2011 / Published: 22 September 2011
(This article belongs to the Special Issue Electric and Hybrid Vehicles)
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Abstract: Regenerative braking is an effective approach for electric vehicles (EVs) to extend their driving range. A fuzzy-logic-based regenerative braking strategy (RBS) integrated with series regenerative braking is developed in this paper to advance the level of energy-savings. From the viewpoint of securing car stability in braking operations, the braking force distribution between the front and rear wheels so as to accord with the ideal distribution curve are considered to prevent vehicles from experiencing wheel lock and slip phenomena during braking. Then, a fuzzy RBS using the driver’s braking force command, vehicle speed, battery SOC, battery temperature are designed to determine the distribution between friction braking force and regenerative braking force to improve the energy recuperation efficiency. The experimental results on an “LF620” prototype EV validated the feasibility and effectiveness of regenerative braking and showed that the proposed fuzzy RBS was endowed with good control performance. The maximum driving range of LF620 EV was improved by 25.7% compared with non-RBS conditions.
Keywords: regenerative braking; fuzzy logic; braking force distribution

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Cite This Article

MDPI and ACS Style

Xu, G.; Li, W.; Xu, K.; Song, Z. An Intelligent Regenerative Braking Strategy for Electric Vehicles. Energies 2011, 4, 1461-1477.

AMA Style

Xu G, Li W, Xu K, Song Z. An Intelligent Regenerative Braking Strategy for Electric Vehicles. Energies. 2011; 4(9):1461-1477.

Chicago/Turabian Style

Xu, Guoqing; Li, Weimin; Xu, Kun; Song, Zhibin. 2011. "An Intelligent Regenerative Braking Strategy for Electric Vehicles." Energies 4, no. 9: 1461-1477.

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