Traditional optimization-based energy management strategies (EMSs) do not consider the uncertainty of driving cycle induced by the change of traffic conditions, this paper proposes a robust online EMS (ROEMS) for fuel cell hybrid electric vehicles (FCHEV) to handle the uncertain driving cycles. The energy consumption model of the FCHEV is built by considering the power loss of fuel cell, battery, electric motor, and brake. An offline linear programming-based method is proposed to produce the benchmark solution. The ROEMS instantaneously minimizes the equivalent power of fuel cell and battery, where an equivalent efficiency of battery is defined as the efficiency of hydrogen energy transforming to battery energy. To control the state of charge of battery, two control coefficients are introduced to adjust the power of battery in objective function. Another penalty coefficient is used to amend the power of fuel cell, which reduces the load change of fuel cell so as to slow the degradation of fuel cell. The simulation results indicate that ROEMS has good performance in both fuel economy and load change control of fuel cell. The most important advantage of ROEMS is its robustness and adaptivity, because it almost produces the optimal solution without changing the control parameters when driving cycles are changed.

传统的基于优化的能源管理策略（EMS）并未考虑交通状况变化引起的驾驶周期的不确定性，因此本文针对燃料电池混合动力汽车（FCHEV）提出了一种强大的在线EMS（ROEMS），以应对不确定的驾驶情况周期。FCHEV的能耗模型是通过考虑燃料电池，电池，电动机和制动器的功率损耗而建立的。提出了一种基于离线线性规划的方法来产生基准解决方案。ROEMS立即将燃料电池和电池的等效功率降到最低，其中电池的等效效率定义为氢能转换为电池能量的效率。为了控制电池的充电状态，引入了两个控制系数来调整目标函数中的电池功率。另一个惩罚系数用于修正燃料电池的功率，从而减少了燃料电池的负载变化，从而减缓了燃料电池的退化。仿真结果表明，ROEMS在燃油经济性和燃料电池负荷变化控制方面均具有良好的性能。ROEMS的最重要的优点是它的鲁棒性和适应性，因为当改变驾驶周期时，它几乎可以产生最佳解决方案，而无需更改控制参数。