Brake Energy Recovery Strategy Based on Improved ANFIS

ZHAO Xuezhan, LIN Hui, PAN Haitao

Vehicle Engine ›› 2026, Vol. 0 ›› Issue (3) : 87-94.

Vehicle Engine ›› 2026, Vol. 0 ›› Issue (3) : 87-94. DOI: 10.3969/j.issn.1001-2222.2026.03.013

Brake Energy Recovery Strategy Based on Improved ANFIS

  • ZHAO Xuezhan1,LIN Hui1,PAN Haitao2
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Abstract

For the problem of braking energy recovery control in pure electric vehicles, a motor drive force control strategy was proposed. This strategy reasonably distributed the mechanical braking force of front axle and the electric braking force, which realized the dynamic optimization for the proportion of electric braking force on the front axle through the ANFIS controller and balanced the braking stability and energy recovery efficiency by introducing the pruning algorithm to reduce the computational complexity. The control algorithm was verified through joint simulation. The results show that the strategy maintains good stability under different braking intensities. Under the NEDC driving condition, the strategy achieves a SOC increase by 0.46% compared with the ANFIS control strategy and 1.81% compared with the AVL Cruise control. Meanwhile, the motor torque fluctuation is effectively suppressed. Hardware-in-the-loop (HIL) testing results demonstrate that the improved ANFIS control strategy performs excellently in terms of effectiveness and real-time performance.

Key words

electric vehicle / energy recovery / fuzzy neural network / pruning algorithm / HiL testing

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ZHAO Xuezhan, LIN Hui, PAN Haitao. Brake Energy Recovery Strategy Based on Improved ANFIS[J]. Vehicle Engine. 2026, 0(3): 87-94 https://doi.org/10.3969/j.issn.1001-2222.2026.03.013

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