The combination of the fuel cell (FC) and supercapacitor for a hybrid electric vehicle (HEV) has the benefit of compensating for the slow dynamic response and avoiding reactant starvation of FC. Energy management system (EMS) is critical to HEV and a fuzzy controller plus low-pass filter is proposed to prolong the FC lifetime and decrease the hydrogen consumption. The constrained biobjective optimization problem for fuzzy EMS is then solved by an improved genetic algorithm (GA), where the decimal and rule base encoding, constraint handling, the pruning and maintain operator are designed to optimize both the fuzzy rule base and the parameters of the membership functions. Simulation results of highway fuel economy certification test, urban dynamometer driving schedule, and new European drive cycle illustrate that the proposed approach can smooth the output of FC with robustness and be implemented in real time, which decreases 19% current variation with about 10% increase of H2 consumption.

中文翻译：

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考虑氢气消耗和负载变化的 FC/SC 动力混合动力汽车基于 GA 的模糊能量管理系统


混合动力电动汽车 (HEV) 的燃料电池 (FC) 和超级电容器的组合具有补偿缓慢的动态响应并避免 FC 反应物匮乏的优点。能量管理系统（EMS）对于混合动力汽车至关重要，提出了模糊控制器加低通滤波器来延长燃料电池寿命并降低氢消耗。然后通过改进的遗传算法（GA）解决模糊EMS的约束双目标优化问题，其中小数和规则库编码、约束处理、修剪和维护算子被设计来优化模糊规则库和参数。隶属函数。高速公路燃油经济性认证测试、城市测功机驾驶计划和新欧洲驾驶循环的仿真结果表明，该方法能够鲁棒地平滑FC输出并实时实施，电流变化减少19%，增加约10% H2 消耗量。