Braking Energy Recovery Strategy of Front and Rear Axle Dual-motor Pure Electric Vehicle

CAO Longlong, ZHONG Yong, FAN Zhouhui, GAO Jianhang

Vehicle Engine ›› 2025, Vol. 0 ›› Issue (3) : 81-88.

Vehicle Engine ›› 2025, Vol. 0 ›› Issue (3) : 81-88. DOI: 10.3969/j.issn.1001-2222.2025.03.012

Braking Energy Recovery Strategy of Front and Rear Axle Dual-motor Pure Electric Vehicle

  • CAO Longlong,ZHONG Yong,FAN Zhouhui,GAO Jianhang
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Abstract

In order to coordinate the control of electro-hydraulic braking and enhance overall energy efficiency, two different energy recovery strategies were put forward during the braking energy recovery of dual-motor pure electric vehicles. One strategy was utilizing a fuzzy control algorithm that performs fuzzy inference based on braking intensity, vehicle speed, and SOC to determine the proportion of motor braking force, the other strategy was obtaining front/rear motor torque distribution coefficients for various operating conditions through an optimization approach based on the optimal motor braking power principle. AVL-Cruise and Simulink software were used to build the vehicle model and energy recovery control strategy for co-simulation under WLTC and CLTC conditions. The results show that the proposed optimal energy recovery strategy based on motor braking power has a good effect in improving vehicle economy, and is superior to the fuzzy control algorithm in terms of energy consumption, driving range and energy recovery effect. Especially in terms of energy consumption, the energy consumption per 100 km of the optimization-based strategy achieves 22% and 32% reductions under WLTC and CLTC cycles versus fuzzy logic control, confirming substantial energy conservation advantages.

Key words

electric vehicle / energy recovery / braking torque / distribution / control strategy

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CAO Longlong, ZHONG Yong, FAN Zhouhui, GAO Jianhang. Braking Energy Recovery Strategy of Front and Rear Axle Dual-motor Pure Electric Vehicle[J]. Vehicle Engine. 2025, 0(3): 81-88 https://doi.org/10.3969/j.issn.1001-2222.2025.03.012

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