Evaluation of regenerative braking based on single-pedal control for electric vehicles

Wei LIU, Hongzhong QI, Xintian LIU, Yansong WANG

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Front. Mech. Eng. ›› 2020, Vol. 15 ›› Issue (1) : 166-179. DOI: 10.1007/s11465-019-0546-x
RESEARCH ARTICLE
RESEARCH ARTICLE

Evaluation of regenerative braking based on single-pedal control for electric vehicles

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Abstract

More than 25% of vehicle kinetic energy can be recycled under urban driving cycles. A single-pedal control strategy for regenerative braking is proposed to further enhance energy efficiency. Acceleration and deceleration are controlled by a single pedal, which alleviates driving intensity and prompts energy recovery. Regenerative braking is theoretically analyzed based on the construction of the single-pedal system, vehicle braking dynamics, and energy conservation law. The single-pedal control strategy is developed by considering daily driving conditions, and a single-pedal simulation model is established. Typical driving cycles are simulated to verify the effectiveness of the single-pedal control strategy. A dynamometer test is conducted to confirm the validity of the simulation model. Results show that using the single-pedal control strategy for electric vehicles can effectively improve the energy recovery rate and extend the driving range under the premise of ensuring safety while braking. The study lays a technical foundation for the optimization of regenerative braking systems and development of single-pedal control systems, which are conducive to the promotion and popularization of electric vehicles.

Keywords

electric vehicle / single-pedal control / regenerative braking / co-simulation / dynamometer test

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Wei LIU, Hongzhong QI, Xintian LIU, Yansong WANG. Evaluation of regenerative braking based on single-pedal control for electric vehicles. Front. Mech. Eng., 2020, 15(1): 166‒179 https://doi.org/10.1007/s11465-019-0546-x

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant No. 51675324).

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2019 The Author(s) 2019. This article is published with open access at link.springer.com and journal.hep.com.cn
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