针对燃料电池货车百公里氢耗率首先采用动态规划算法（DP）的能量管理策略,得出不同功率需求下的能量分配。然后以分配的电机功率（Pre）和动力电池荷电状态（SOC）作为模糊逻辑控制的输入,并用遗传算法（GA）优化模糊规则和隶属度函数。最后在中国货车行驶工况（CHTC-LT）下通过Cruise-Matlab/Simulink环境下设计的整车模型与控制策略进行联合仿真验证。仿真结果表明,模糊逻辑控制策略下与功率跟随策略相比,燃料电池混合动力货车燃油经济性提升了5.2%,且控制动力电池SOC变化稳定在合理范围内。
Abstract
For the 100 km hydrogen consumption rate of fuel cell trucks, the energy management strategy of dynamic programming algorithm （DP） is firstly used to derive the energy allocation under different power demands. Then the allocated motor power （Pre） and power cell SOC are used as inputs for fuzzy logic control, and the genetic algorithm （GA） is used to optimize the fuzzy rules and the affiliation function. Finally, the whole vehicle model and control strategy are jointly simulated and validated by Cruise-Matlab/Simulink environment designed under CHTC-LT operating conditions. The simulation results show that the fuel cell hybrid truck fuel economy is improved by 5.2% under the fuzzy logic control strategy compared with the power following strategy, and the control power cell state of charge （SOC） variation is stabilized within a reasonable range.
关键词
燃料电池 /
动态规划 /
能量管理 /
燃油经济性 /
功率控制
Key words
fuel cells /
dynamic programming /
energy management /
fuel economy /
power control
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