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Issue title: Fuzzy logic systems for transportation engineering
Guest editors: Dalin Zhang, Sabah Mohammed and Alessandro Calvi
Article type: Research Article
Affiliations: Beijing Institute of Technology (BIT), Beijing, China
Correspondence: [*] Corresponding author. Feng Liu, Beijing Institute of Technology (BIT), Beijing, China. E-mail: [email protected].
Abstract: Regenerative braking system is a system by which an energy conversion device is used to convert kinetic energy into electrical energy and store it in an energy storage device for use when the motor vehicle is driving. To improve the energy recovery rate of pure electric vehicles, a series regenerative braking control strategy based on PMSM fuzzy logic is proposed in this paper. According to this strategy, the motor braking shall be used as much as possible based on ensuring braking stability, 4 braking zones shall be divided according to the braking intensity, and different braking force distribution strategies shall be used, while comprehensively considering influencing factors such as vehicle speed, ECE regulations, battery, and motor characteristics. Simulink and Cruise are used for modeling and united simulation. The results show that the built model is accurate and reliable. The energy recovery rate can be improved effectively and the cruising range of pure electric vehicles can be extended based on proposed series regenerative braking control strategy.
Keywords: PMSM fuzzy logic, series, regenerative braking, control strategy
DOI: 10.3233/JIFS-189972
Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4873-4881, 2021
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