电动重型商用车AMT系统效率最优换挡策略
作者:
作者单位:

1.重庆大学 a. 高端装备机械传动全国重点实验室;2.b.机械与运载工程学院

中图分类号:

U469.72

基金项目:

中央高校基本科研业务费专项资助项目(2022CDJDX-004);重庆市技术创新与应用发展专项重大项目(CSTB2022TIAD-STX0005)


Optimal System Efficiency Shifting Strategy of AMT Electric Heavy Truck
Author:
Affiliation:

1.a. State Key Laboratory of Mechanical Transmission;2.b. College of Mechanical and Vehicle Engineering,Chongqing University,Chongqing 400044;3.P. R. China

Fund Project:

Fundamental Research Funds for the Central Universities(2022CDJDX-004); Chongqing Technological Innovation and Application Development Special Major Project(CSTB2022TIAD-STX0005)

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    摘要:

    为提高电动商用车的能量利用率,充分发挥其节能潜力,本文以多挡AMT电动重型商用车为研究对象,提出了一种基于系统效率最优的换挡策略。首先,基于电驱系统构型深入分析各部件损耗机理和动态效率特性,通过电驱系统效率曲面制定基于系统效率最优的换挡策略。其次,建立电驱系统键合图模型,利用重构城郊工况进行换挡策略仿真分析。最后,结合实车实验验证了本文策略的有效性和优越性。研究结果表明:该策略能实现电驱系统输出效率最优的实时控制,相较于传统经济性换挡策略,其整车能耗降低了3.86%。

    Abstract:

    To improve the energy efficiency of electric commercial vehicles and fully utilize their energy-saving potential, this study utilized multi-gear automated manual transmission (AMT) electric heavy trucks as the research object and proposed 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 were analyzed, and the shifting strategy based on the optimal system efficiency was formulated through the electric drive system efficiency surface. Second, a bond graph model of the electric drive system was established, and the simulation analysis of the shift strategy was carried out by using the reconstructed suburban working conditions. Finally, the effectiveness and superiority of the proposed strategy were 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.

    参考文献
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  • 收稿日期:2024-09-26
  • 最后修改日期:2024-11-11
  • 录用日期:2024-11-13
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