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电动重型商用车AMT系统效率最优换挡策略

周明威 孙冬野 王灿 王伦斌 王俊豪

重庆大学学报2025,Vol.48Issue(7):1-12,12.
重庆大学学报2025,Vol.48Issue(7):1-12,12.DOI:10.11835/j.issn.1000-582X.2024.236

电动重型商用车AMT系统效率最优换挡策略

Optimal system efficiency shifting strategy of AMT electric heavy truck

周明威 1孙冬野 1王灿 1王伦斌 1王俊豪1

作者信息

  • 1. 重庆大学 高端装备机械传动全国重点实验室,重庆 400044||重庆大学 机械与运载工程学院,重庆 400044
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摘要

Abstract

To improve the energy efficiency of electric commercial vehicles and fully utilize their energy-saving potential,this study utilizes multi-gear automated mechanical transmission(AMT)electric heavy trucks as the research object and proposes a shifting strategy based on the optimal system efficiency.First,based on the electric drive system configuration,the loss mechanism and dynamic efficiency characteristics of each component are analyzed,and the shifting strategy based on the optimal system efficiency is formulated through the electric drive system efficiency surface.Second,a bond graph model of the electric drive system is established,and the simulation analysis of the shift strategy is carried out by using the reconstructed suburban working conditions.Finally,the effectiveness and superiority of the proposed strategy are verified through the real vehicle experiments.The research results indicate that the proposed strategy achieves real-time control of the optimal output efficiency of the electric drive system,and reduces the overall vehicle energy consumption by 3.86%compared with the traditional economic gearshift strategy.

关键词

能量利用率/电动重型商用车/AMT/换挡策略/键合图

Key words

energy efficiency/electric heavy truck/AMT/shift strategy/bond graph

分类

交通工程

引用本文复制引用

周明威,孙冬野,王灿,王伦斌,王俊豪..电动重型商用车AMT系统效率最优换挡策略[J].重庆大学学报,2025,48(7):1-12,12.

基金项目

中央高校基本科研业务费专项资助项目(2022CDJDX-004) (2022CDJDX-004)

重庆市技术创新与应用发展专项重大项目(CSTB2022TIAD-STX0005).Supported by Fundamental Research Funds for the Central Universities(2022CDJDX-004),and Chongqing Technological Innovation and Application Development Special Major Project(CSTB2022TIAD-STX0005). (CSTB2022TIAD-STX0005)

重庆大学学报

OA北大核心

1000-582X

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