HEV车载复合电源系统控制策略优化研究

Optimization of hybrid power system control strategy for HEV

HEV车载复合电源是将高比功率的超级电容与高比能量的蓄电池复合使用,通过合理的能量管理策略,以提高HEV汽车能源系统性能的技术。在分析车载复合电源系统的结构、功率需求及电源约束条件的基础上,建立了以车辆燃油消耗率和再生制动能量回收率为优化目标函数的能量管理问题数学模型。然后,根据复合电源系统的工作模式设计了基于模糊逻辑的能量管理控制器,利用遗传算法对功率分配因子的隶属度函数参数进行优化。基于ADVISOR的仿真研究表明,与未优化的模糊能量管理策略相比,经过优化的模糊能量管理策略能够更有效地降低混合动力汽车的燃油消耗,提高了制动能量回收率。

Hybrid power system for hybrid electric vehicle （ HEV ）is a kind of technology to adopt the rational management strategy to improve the performance of HEV energy systems by combining high power density super capacitor and high specific energy batteries. Based on the analysis of the hybrid energy system structure, the power demand and supply constraints, a hybrid power mathematical model of energy management system was established, whose optimal objective functions were fuel consumption ratio and regenerative braking energy recovery. Then, a fuzzy logic energy management controller was designed according to the operation mode of hybrid power system, and the genetic algorithm was used to optimize the power allocation factor＇s parameters of membership function. The simulation results in ADVISOR show that the optimized fuzzy energy management strategy is more effective to reduce the fuel consumption of hybdd vehicles and improve the regenerative braking energy recovery than the non-optimized fuzzy energy management strategy.