汽车工程

汽车工程

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基于模糊逻辑控制的燃料电池汽车 能量管理控制策略研究

李顶根; 王骞; 苗华春   

  1. 1．华中科技大学，中欧清洁与可再生能源学院，武汉，430074； 2. 华中科技大学, 能源与动力工程学院，武汉，430074； 3. 深圳市晓龙新能源科技有限公司，深圳，518000
  • 出版日期:2019-03-05 发布日期:2019-03-05
  • 基金资助:
     

Research on energy management control strategy of fuel cell vehicle based on fuzzy logic control

    

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  • Online:2019-03-05 Published:2019-03-05
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摘要： 针对燃料电池汽车频繁过度放电导致其使用寿命缩短、需求模组功率过高急剧增加经济成本的问题，以燃料电池汽车结合动力电池模组的方式，提出了基于微小变量模糊逻辑控制的燃料电池补偿动力电池放电的能量管理控制策略模型。通过对ADVISOR进行二次开发优化，仿真验证了所制定的电-电混动模型能量管理控制策略的合理性，保证了整车的动力性和经济性。又以汽车结束行驶时系统总的能量利用效率为优化目标对其进行了优化，结果表明基于微小变量模糊逻辑控制的电-电混动新能源汽车动力性满足要求，经济性得以提高。

关键词: 燃料电池汽车, 微小变量模糊逻辑, 能量管理, 控制策略, 仿真优化

Abstract: Aiming at the problem that the fuel cell vehicles is frequently over-discharged incurring its service life is shortened and the demand module power is too high causing the economic cost is sharply increased, fuel cell vehicle combined with the power battery module is proposed. And energy management control strategy based on the small variable fuzzy logic control is proposed to compensate the secondary energy storage devices discharging. Through the secondary development and optimization of ADVISOR, the simulation verified the rationality of the energy management control strategy of the electric-electric hybrid model, and ensured the power and economy performance of the vehicle. In addition, the total energy utilization efficiency of the system at the end of the driving cycle is optimized. The results show that the electric power of the electric-electric hybrid vehicle based on small variable fuzzy logic control meets the requirements and the economy performance is improved.

Key words: Fuel cell vehicles, Fuzzy logic of small variables, Energy management, Control strategy, Simulation optimization

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