A Regenerative Braking Strategy Based on Driving Condition Recognition for Heavy-Duty Commercial Vehicles

This paper proposes a collaborative optimization strategy of regenerative braking in heavy-duty electric logistics vehicles under complex driving conditions to improve energy recovery efficiency. Based on the actual operational data of 18-ton electric trucks in the southwestern region of China, thre...

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Détails bibliographiques

Auteurs principaux:	Weilong Mo, Hongxia Zheng, Yongqiang Lv, Haohao Yuan, Xiangsuo Fan, Defeng Peng, Huajin Chen
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2026-01-01
Collection:	World Electric Vehicle Journal
Sujets:	driving condition recognition learning vector quantization neural network regenerative braking fuzzy control
Accès en ligne:	https://www.mdpi.com/2032-6653/17/2/64
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