Sep 2026· SAE technical paper series· 0 citations· 6 references
Abstract
This paper addresses the issue of regenerative braking energy recovery in new energy vehicles and designs and optimizes a braking force distribution strategy. The strategy uses an ANFIS controller to dynamically optimize the proportion of front-axle regenerative braking force. The introduction of a pruning algorithm reduces computational complexity, thereby enabling a significant increase in mileage while maintaining stable driving performance. Co- simulations integrating Simulink and AVL Cruise, alongside Hardware-in-the-Loop (HiL) tests, the proof is that this strategy can still maintain excellent stability under different braking intensities. Moreover, it exhibits significantly higher energy recovery efficiency compared to benchmark strategies, while its effectiveness and real- time performance are successfully validated.
This paper proposes a hierarchical control strategy for the coordinated optimization of regenerative braking and braking stability in electric vehicles (EVs). A coupled longitudinal–wheel dynamic model is established to describe braking behavior. A three-layer control framework is developed, including a decision layer...
Wenbin Gong, Zhi-Quan Feng· International Conference on...· 0 citations
A layered regenerative braking strategy is proposed for distributed four-wheel-drive Formula SAE (FSAE) electric race cars to improve energy recovery while maintaining braking stability. An AMESim–Simulink–CarSim co-simulation platform is established, including vehicle dynamics, battery/motor, and hydraulic actuator mo...
Jun-De Li, He-Yan Li, Ya-Kun Liu et al.· International Conference on...· 0 citations
Regenerative braking energy recovery is essential for electric vehicles due to their limited driving range. A fuzzy regenerative braking control strategy based on an improved differential evolution algorithm and segmented braking force distribution is proposed. Firstly, a segmented braking force distribution strategy f...
Zhu-An Zheng, Ren-Chao Xu, Jing-Shu Cao et al.· Proceedings of the Instituti...· 0 citations
Due to the diversification of powertrains in the automotive industry, maximizing energy efficiency has become a core priority for driver assistance systems, alongside safety and comfort. My research aimed to develop a universal, energy-optimized adaptive cruise control (ACC) system operating optimally across internal c...
Tamás Forgó· Műszaki Tudományos Közlemény...· 0 citations
To address the concurrent optimization of vehicle stability, occupant comfort, and energy recovery efficiency during coasting regenerative braking for distributed drive electric vehicles, a three-layer optimization framework comprising estimation layer, optimization layer, and control layer is proposed. The estimation...
Lei Zhang, Geng-Xin Qi, Ming Yue· Proceedings of the Instituti...· 0 citations
The limited battery capacity of electric vehicles has made the development of effective energy management strategies essential for improving energy efficiency and extending driving range. Regenerative braking systems contribute to this objective by converting the vehicle's kinetic energy during braking into electrical...
Hanifi Kucuksariyildiz· International Journal of Ene...· 0 citations
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