论文标题
使用动态编程优化混合动力汽车的基于规则的能源管理策略
Optimization of rule-based energy management strategies for hybrid vehicles using dynamic programming
论文作者
论文摘要
减少能源消耗是混合动力汽车（HEV）开发的重点。许多能源管理优化研究中使用的流行车辆动态模型并未捕获车载测量系统所具有的车辆动力学。但是，测量系统的反馈是车辆控制器实际用来管理能耗的方法。因此，仅使用模型的优化并不代表车辆控制器在车辆中看到的内容。本文报告了使用基于规则的策略在现实世界代表性驱动周期下使用基于规则的策略的实用性因素加权能源消耗。此外，车辆测试数据用于执行优化方法。通过比较基于规则和基于优化的策略的结果，讨论了用于进一步改进基于规则的策略的领域。此外，OBD的最新发展引起了人们对能耗增加的关注。本文通过广泛的OBD使用来调查能源消耗的增加。
Reducing energy consumption is a key focus for hybrid electric vehicle (HEV) development. The popular vehicle dynamic model used in many energy management optimization studies does not capture the vehicle dynamics that the in-vehicle measurement system does. However, feedback from the measurement system is what the vehicle controller actually uses to manage energy consumption. Therefore, the optimization solely using the model does not represent what the vehicle controller sees in the vehicle. This paper reports the utility factor-weighted energy consumption using a rule-based strategy under a real-world representative drive cycle. In addition, the vehicle test data was used to perform the optimization approach. By comparing results from both rule-based and optimization-based strategies, the areas for further improving rule-based strategy are discussed. Furthermore, recent development of OBD raises a concern about the increase of energy consumption. This paper investigates the energy consumption increase with extensive OBD usage.
