混合动力电动汽车能量管理控制策略及仿真

研究电动汽车能量管理优化控制问题,混合动力电动汽车(HEV)能量管理系统,由于动力效率决定于发动机性能控制。针对传统方法燃油利用率低,车辆驾驶控制方式影响了优化。为了提高能源优化效率及优化驾驶控制,提出了一种燃油经济性和驾驶性能全局优化的能量管理控制策略。首先在系统中加入驾驶性能变量,并在代价函数中加入驾驶性能限制,然后把HEV能量管理问题建模为多步决策过程问题,运用动态规划(DP)原理,得到了全局优化的能量管理控制器。将该控制器模型嵌入高级车辆仿真器ADVISOR的并联车辆模型中,与传统规则的控制策略进行仿真对比。仿真结果表明,新的控制策略使燃油经济性提高了约16%,并且使驾驶性能控制在良好的范围内,能有效提高HEV能量管理的效率和实用性,为优化设计提供了依据。

Energy Management Strategy and Simulation of Hybrid Electric Vehicle

The energy management strategy optimization problem of the Hybrid Electric Vehicle(HEV) was introduced in this paper.The existing studies are low fuel-efficiency and lack of optimizing drivability in the conventional method.In order to enhance the energy optimization efficiency and optimizing drivability,a global optimization energy management strategy to the fuel economy and drivability was proposed.Firstly,the drivability variable was incorporated into the system,and the drivability limits were added to the cost function.Then the problem of the HEV energy management strategy was modeled as a multi-stage decision processes problem,and the principle of Dynamic Programming(DP) was used to obtain the global optimization energy management controller.The simulation was carried out by embedding the controller into the parallel vehicle model of Advanced Vehicle Simulator(ADVISOR) and compared with the conventional strategy of rule-based.The simulation results demonstrate that the fuel economy adopting the new control strategy is improved by about 16% and the drivability is controlled in the favorable range.The strategy is the effective method to improve the efficiency and practical of HEV energy management.