基于贪心策略的电动车AMT换挡点实时优化方法研究

电动车机械式自动变速器（automated mechanical transmission，AMT）系统换挡点对整车动力性和经济性水平具有重要影响，针对电动车AMT查表式换挡规律工况适应性差，无法基于工况进行定量求解以及兼顾动力性和经济性等问题，提出了一种基于贪心策略的电动车AMT换挡点实时优化控制方法. 通过马尔可夫链对电动车行驶工况进行预测，并基于贪心策略对换挡点进行优化控制. 在世界轻型车辆测试工况与中国汽车行驶工况下，仿真结果表明，采用贪心策略的电动汽车相比采用经济性换挡策略的电动汽车耗电量分别减少了2.56%、1.07%，电池SOC值下降分别减少了2.06%、1.81%，经济性得到提升. 

Research on Real-Time Optimization Method of AMT Shift Point of Electric Vehicle Based on Greedy Algorithm

The shift point of electric vehicle automated mechanical transmission (AMT) system has an important impact on the power and economy level of the whole vehicle. In view of the poor adaptability of electric vehicle AMT look-up table shift law under working conditions, which cannot be solved quantitatively based on working conditions, and does not take into account power and economy, a real-time optimal control method of electric vehicle AMT shift point based on greedy strategy was proposed. Firstly, the driving condition of electric vehicle was predicted by Markov chain, and then greedy algorithm was used to optimize the shift point. Under world light vehicle test cycle (WLTC) and China automotive test cycle (CATC) conditions, the simulation results show that compared with the electric vehicle with economic shift strategy, the electric vehicle with greedy algorithm shift strategy consumes less power, the battery SOC decreases more slowly, and the economy of the vehicle is improved.