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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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Збережено в:
Автори: Weilong Mo, Hongxia Zheng, Yongqiang Lv, Haohao Yuan, Xiangsuo Fan, Defeng Peng, Huajin Chen
Формат: Artigo
Мова:Inglês
Опубліковано: MDPI AG 2026-01-01
Серія:World Electric Vehicle Journal
Предмети:
driving condition recognition
learning vector quantization neural network
regenerative braking
fuzzy control
Онлайн доступ:https://www.mdpi.com/2032-6653/17/2/64
Теги: Додати тег
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