基于FDP的模块化电动重载车辆的能量分配与换挡策略

Energy distribution and shift strategy of modular electric heavy-duty vehicles based on FDP

中文关键词  电动重载车辆  模块化  能量管理策略  快速动态规划

英文关键词  electric heavy-duty vehicle  modularization  energy management strategy  fast dynamic programming

中文摘要

      针对本文提出的电动重卡双动力单元构型,缺乏一种平衡车辆经济性和舒适性的能量管理策略.当使用动 态规划算法时,存在计算效率慢、难以在线应用、插值泄露等问题.本文提出了一种利用缩减状态空间可行域和挡 位保持函数来优化动态规划算法的方法.首先制定了面向经济性的策略,然后利用提取的规则对动态规划的状态 空间可行域进行缩减,摒弃了选取电池充放电状态(SOC)作为状态变量的方法,并通过在代价函数中加入挡位保持 函数,得到了一种较为完善的能量管理策略.结果表明,本策略以多消耗极少的能量为代价,使变速器挡位切换和电 机启停次数大幅减少,有效地平衡了车辆的经济性与舒适性.

英文摘要

      For the dual powertrain configuration proposed in this paper, there is currently no energy management strategy that effectively balances vehicle economy and comfort. When using dynamic programming algorithms, there are problems such as slow computational efficiency, difficulty in online application, and interpolation leakage. This paper describes a method to optimize dynamic programming algorithms using reduced state-space feasible domains and gear-holding func tions. Firstly, an economy-oriented strategy is proposed, and then the state space feasible domain of dynamic planning is reduced using the extracted rules, the method of selecting state of charge (SOC) as the state variable is discarded, and a perfect energy management strategy is obtained by adding a block holding function to the cost function. The results show that this strategy reduces the transmission gear switching and the number of motor start-stops dramatically at the cost of consuming very little more energy, effectively balancing the economy and comfort of the vehicle.