| 骆俊伟,陆建山,周鸿波,潘文松.基于模糊的氢燃料电池时序采样能量控制方法[J].电子测量与仪器学报,2023,37(10):202-210 |
| 基于模糊的氢燃料电池时序采样能量控制方法 |
| Fuzzy based sequential sampling energy control method for hydrogen fuel cells |
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| DOI： |
| 中文关键词: 氢燃料电池 能量管理 模糊控制 算法策略 |
| 英文关键词:hydrogen fuel cell energy management fuzzy control algorithm strategy |
| 基金项目:浙江省自然科学基金(LY22E050018)项目资助 |
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| 摘要点击次数: 1192 |
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| 中文摘要: |
| 氢燃料电池汽车的能量管理系统对燃料电池寿命、耐久、经济性等性能起着重要作用。 在对经典模糊控制策略的改进
基础上,解决控制策略存在的燃料电池输出功率变载频繁的问题,以时序规则进行优化设计,根据燃料电池运行特性、工作效率
点以及道路工况具备的特点提出了一种基于时序周期采样的控制策略,通过对车辆搭载燃料电池和动力电池输出功率的控制,
完成能量管理策略优化。 针对一款实际运营的燃料电池公交车在等速工况和中国典型城市公交循环工况下,使用不同控制策
略时的氢耗、燃料电池输出功率状态、动力电池荷电状态变化等数据进行分析,发现设计的控制策略能有效降低燃料电池变载
次数,提高燃料电池使用寿命,在氢耗方面比功率跟随策略、开关控制策略有明显优势,在初始动力电池荷电状态为 60%条件
下,后两者策略氢耗分别增加了 3. 98%和 27. 88%。 |
| 英文摘要: |
| The energy management system of hydrogen fuel cell vehicles plays an important role in the performance of fuel cell lifespan,
durability, and economy. On the basis of improving the classic fuzzy control strategy, the problem of frequent load changes in the output
power of fuel cells in the control strategy is solved. The optimization design is carried out using temporal rules, and a control strategy
based on temporal period sampling is proposed based on the operating characteristics, efficiency points, and road conditions of fuel cells.
By controlling the output power of vehicles equipped with fuel cells and power batteries, complete the optimization of energy management
strategies. An analysis was conducted on the hydrogen consumption, fuel cell output power status, and power cell charge state changes of
a fuel cell bus in actual operation under constant speed conditions and typical urban bus cycle conditions in China, using different control
strategies. It was found that the designed control strategy can effectively reduce the number of fuel cell load changes, improve the service
life of the fuel cell, and compare the hydrogen consumption with the power following strategy, the switch control strategy has obvious
advantages. Under the initial state of charge of the power battery of 60%, the hydrogen consumption of the latter two strategies increased
by 3. 98% and 27. 88%, respectively. |
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