| 引用本文: | 付江涛,宋书中,付主木.并联新能源汽车最优效率实时控制[J].控制理论与应用,2019,36(7):1165~1173.[点击复制] |
| FU Jiang-tao,SONG Shu-zhong,FU Zhu-mu.Real-time best efficiency control for parallel hybrid electric vehicle[J].Control Theory and Technology,2019,36(7):1165~1173.[点击复制] |
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| 并联新能源汽车最优效率实时控制 |
| Real-time best efficiency control for parallel hybrid electric vehicle |
| 摘要点击 1694 全文点击 694 投稿时间：2018-03-01 修订日期：2018-09-07 |
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| DOI编号 10.7641/CTA.2018.80133 |
| 2019,36(7):1165-1173 |
| 中文关键词 混合电动汽车 优化控制 协调控制策略 效率分析 荷电状态 |
| 英文关键词 Hybrid electric vehicle (HEV) optimal control coordinated control strategy efficiency analysis state of charge (SOC) |
| 基金项目 国家自然科学基金 |
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| 中文摘要 |
| 为了提高并联混合动力汽车驱动系统的实时效率, 降低燃油消耗, 本文提出一种基于效率最优的协调控制策略. 根据不同驱动模式下电池的充放电状态, 建立了充放电状态下驱动系统的等效燃油消耗模型, 在分析电池效率和发动机效率的基础上, 得到驱动系统效率的统一表达式, 进而通过建立不同功率需求不同荷电状态下系统最优效率的功率分配系数图谱, 设计了系统效率最优的协调控制策略,协调控制策略根据优化的功率分配系数在发动机和电机间进行力矩分配，协调控制策略可以离线计算并实时执行. 两种工况循环下的仿真结果表明效率最优控制策略能有效地提高混合动力系统实时效率和燃油经济性. |
| 英文摘要 |
| In order to improve the powertrain efficiency in real-time and reduce the fuel consumption, a coordinated control strategy is presented in this paper to maximize the powertrain efficiency. According to the charging and discharging situation of the battery under different driving mode, the equivalent fuel consumption models are established. On the basis of deep analysis of the efficiency of the internal combustion engine (ICE) and the battery, a unified expression of the total efficiency is put forward, further a map of the power distribution factor under different power requirement and different state of charge (SOC) is constructed. According to the total efficiency formula acquired, a coordinated control strategy is proposed to distribute the required power between the internal combustion engine and the battery according to the optimal power distribution factor, this control strategy can be firstly computed off-line and then can be operated in real-time at a low computation cost. Simulation results are presented for two different driving cycles. The results show significant improvements in fuel economy and the real-time efficiency. |
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