摘要
针对基于混合储能系统的插电式混合动力汽车在SOC维持阶段的能量管理策略优化问题,以最佳燃油经济性为目标,设计了基于实值遗传算法的控制参数优化方法,得到了发动机工作转矩、电池电流分配系数、纯电行驶最高车速及电池SOC工作范围的最优控制参数。仿真结果表明,设计的能量管理策略控制参数优化方法能在维持SOC平衡的前提下有效提高车辆的燃油经济性,且有利于电池充放电性能和使用寿命的提升。
A real-valued genetic optimization algorithm is proposed to improve fuel economy for a plug-in HEV using hybrid energy storage system during SOC sustaining phase. The optimization algorithm is developed based on the objective function of minimizing fuel consumption, and the optimal operation torque of engine, the optimal split coefficient for battery current, the maximum velocity in pure electric mode, and the upper/low limits of battery SOC can be achieved. The simulation results showed that fuel economy of the plug-in HEV can be increased while sustaining battery SOC, and charge/discharge performance and life cycle of battery can also be improved.
出处
《农业装备与车辆工程》
2015年第7期65-70,共6页
Agricultural Equipment & Vehicle Engineering
关键词
插电式混合动力汽车
混合储能系统
能量管理策略
遗传算法
plug-in hybrid electric vehicle
hybrid energy storage system
energy management strategy
genetic algorithm
