燃料电池
能源管理
计算机科学
汽车工程
能量(信号处理)
环境科学
工程类
数学
化学工程
统计
作者
J. You,Zhuangzhuang Gu,Jinglai Wu,Yunqing Zhang
摘要
<div class="section abstract"><div class="htmlview paragraph">Fuel cells offer several advantages, including extended range, rapid refueling, and clean and efficient, making them well-suited for long-distance transportation in commercial vehicles. A multi-objective real-time optimization energy management strategy is proposed based on the comprehensive consideration of the equivalent hydrogen consumption and energy source lifetime. Power distribution among the energy sources is achieved by minimizing the vehicle's instantaneous comprehensive operational cost. Two coefficients are employed to restrict the fuel cell's start-stop frequency and load variation range. Additionally, two control coefficients are introduced in the objective function to regulate the battery's state of charge. The analysis shows that multi-objective real-time optimization energy management strategy is 10% and 14% less economical than conventional rule-based energy management strategy in both operating conditions and 5% and 7.8% higher than dynamic programming. However, the running time is shorter than DP, which can satisfy the real-time.</div></div>
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