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    赵万忠

    • 教授 博士生导师
    • 招生学科专业:
      机械工程 -- 【招收博士、硕士研究生】 -- 能源与动力学院
      动力工程及工程热物理 -- 【招收博士、硕士研究生】 -- 能源与动力学院
      机械 -- 【招收博士、硕士研究生】 -- 能源与动力学院
      能源动力 -- 【招收博士、硕士研究生】 -- 能源与动力学院
    • 主要任职:基础科研与人文社科处处长
    • 其他任职:汽车节能环保国家工程研究中心副主任、江苏省车辆分布式驱动与智能线控技术工程研究中心主任
    • 性别:男
    • 所在单位:科学技术研究院
    • 办公地点:A10-622(科研)
                       综合楼616(办公)
    • 联系方式:13912995349 025-84896155
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    • 2024当选:长江学者

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    Parametric optimization of novel electric-hydraulic hybrid steering system based on a shuffled particle swarm optimization algorithm

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    所属单位:能源与动力学院

    发表刊物:JOURNAL OF CLEANER PRODUCTION

    关键字:Electric vehicles Electric-hydraulic hybrid steering Energy flow analysis Parameter optimization Multi-objective

    摘要:The on-board battery is the primary energy storage device of the electric vehicle that provides power to drive all actuators of the chassis, i.e., the energy consumption of each actuator has a direct impact on the vehicle's energy management system. To reduce energy consumption while steering and improve the handling stability of electric vehicles, a novel electric hydraulic hybrid steering (E-HHPS) system with multiple steering modes is presented herein. The electric power mode is used to reduce the overall energy consumption of the system by adaptive intervention, whereas the hybrid power mode is responsible for the steering portability in conditions of increased steering torque. To further improve the performance of the E-HHPS system, the structural parameter optimization model of the E-HHPS system is established based on the consideration of the steering economy, steering road feeling, and steering sensitivity. To solve the multi-objective optimization problem with characteristics of increased dimensions, a shuffled particle swarm optimization algorithm (SPSO) is proposed to realize a combination of a local search and global information exchange. The simulation results demonstrate that compared with the HIPS system, the E-HHPS system has a better steering economy at low vehicular speeds. In addition, the E-HFIPS system optimized by the SPSO algorithm can considerably reduce the steering energy consumption and noticeably improve the handling performance of the vehicle. (C) 2018 Elsevier Ltd. All rights reserved.

    ISSN号:0959-6526

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    发表时间:2018-06-10

    合写作者:栾众楷,王春燕

    通讯作者:赵万忠