基于自适应模糊策略的燃料电池车混合动力系统控制

发布时间：2018-11-04 08:01

【摘要】：近年来,能源危机日趋严重,全球各国正大力发展新能源技术,以燃料电池汽车为代表的新能源车正逐渐成为未来交通运输业能源替代的理想解决方案,它具有零排放、动力性能好、能量转化率高、续航里程长等优点,得到了各大车企和各国政府的高度关注。本文主要围绕燃料电池车混合动力系统设计高效的能量管理策略,提出了一种功率实时自适应控制策略,实现了能量的合理分配,并运用模糊控制对自适应控制策略进行优化,对控制器增益进行模糊化输出,以实现对负载功率的有效跟踪,并吸收再生制动产生的能量,提高能源利用率。主要完成了以下创新研究:·针对燃料电池车混合动力系统能量管理的特点,设计了自适应控制策略,在车辆运行时实时分配燃料电池和锂电池之间的功率,同时保证燃料电池输出电流变化率在安全范围内、锂电池SOC控制在期望水平,并基于李雅普诺夫稳定性理论,对自适应控制器闭环系统进行了稳定性证明。后续的仿真和实车实验结果证明自适应控制策略的有效性;·针对自适应控制策略中,对控制效果有很大影响的关键参数并不能随着工况和系统状况的改变而做出相应的调节的特点,提出了自适应模糊控制策略,利用模糊逻辑规则对燃料电池车的工作模式和负载功率进行划分后,在车辆运行时不断调整自适应控制器参数,优化其输出。最后,仿真和实车实验结果验证了自适应模糊控制策略的有效性,并且和纯自适应策略进行了对比分析;
[Abstract]:In recent years, the energy crisis is becoming more and more serious, the countries all over the world are vigorously developing new energy technology, the new energy vehicle represented by fuel cell vehicle is gradually becoming the ideal solution of energy substitution in the future transportation industry, it has zero emission. Good power performance, high energy conversion, long mileage and other advantages, has been highly concerned by the major car companies and governments around the world. In this paper, an efficient energy management strategy is designed around the fuel cell vehicle hybrid power system, and a power real-time adaptive control strategy is proposed, which realizes the rational distribution of energy, and optimizes the adaptive control strategy by using fuzzy control. The fuzzy output of controller gain is carried out to realize the effective tracking of load power, absorb the energy generated by regenerative braking, and improve the energy utilization ratio. The main contributions are as follows: according to the characteristics of fuel cell vehicle hybrid power system energy management, an adaptive control strategy is designed to distribute the power between fuel cell and lithium battery in real time. At the same time, the output current change rate of the fuel cell is guaranteed to be in the safe range, and the SOC of the lithium battery is controlled at the desired level. Based on Lyapunov stability theory, the stability of the closed-loop system of the adaptive controller is proved. The results of simulation and real vehicle experiments show that the adaptive control strategy is effective. In view of the fact that the key parameters which have great influence on the control effect in the adaptive control strategy can not be adjusted with the change of operating conditions and system conditions, an adaptive fuzzy control strategy is proposed. After dividing the working mode and load power of the fuel cell vehicle by fuzzy logic rules, the parameters of the adaptive controller are adjusted continuously while the vehicle is in operation, and the output of the fuel cell vehicle is optimized. Finally, the effectiveness of the adaptive fuzzy control strategy is verified by simulation and real vehicle experiments, and compared with the pure adaptive control strategy.
【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U469.722;TP273

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