一种提高氢气平均利用效率的整车控制策略

为提高燃料电池汽车的氢气平均利用效率,提出一种基于燃料电池老化状态的改进恒温器控制策略。利用最小二乘法拟合出燃料电池不同老化阶段的极化曲线;以提高氢气平均利用效率为目标,利用遗传算法不断地优化恒温器控制策略的规则参数;根据动力电池的电池荷电状态(SOC)与遗传算法优化出的规则参数确定燃料电池的输出功率大小,并利用采集到的800 h燃料电池汽车数据进行仿真。结果表明:在不同的循环工况下,提出的改进恒温器控制策略可使不同燃料电池老化阶段的氢气平均利用效率维持在较高的水平,与普通的恒温器控制策略相比,氢气平均利用效率最大可提高1.1%。根据燃料电池的老化状态和循环工况信息,及时调整恒温器的规则参数有利于提高整车氢气平均利用效率。

A vehicle control strategy to improve the average efficiency of hydrogen

To improve the average efficiency of hydrogen in fuel cell vehicles, an improved thermostat control strategy based on the aging state of fuel cell is proposed. Firstly, The polarization curves of fuel cell at different aging stages were fitted by least square method. Secondly, aiming at improving the average efficiency of hydrogen, the regular parameters of thermostat control strategy were optimized continuously by using genetic algorithm. Finally, the output power of the fuel cell was determined by the improved thermostat control strategy according to the battery SOC and the regular parameters, and the 800 hours of collected data of the fuel cell vehicle was used for simulation. The results show that the improved thermostat control strategy can maintain the average efficiency of hydrogen at different fuel cell aging stages at a higher level under different cycle conditions. Compared with the common thermostat control strategy, the average efficiency of hydrogen can be increased by 1.1% at most. According to the aging state and cycle condition of fuel cell, adjusting the regular parameters of thermostat in time is beneficial to improve the average efficiency of hydrogen in the vehicle.