论文标题
基于需求功率层次处理的混合能源存储系统能力分配的控制策略
A Control Strategy for Capacity Allocation of Hybrid Energy Storage System Based on Hierarchical Processing of Demand Power
论文作者
论文摘要
在混合储能系统中追求最佳的功率分配一直是研究人员的目标。在这里，赫斯是锂电池和超级电容器的组合。事实证明，这种组合可以有效弥补锂电池作为电动汽车的能源系统的一些缺陷。例如，只有锂电池的能源存储系统无法在短时间内提供高功率来满足电动汽车的高加速性能，并且过量的放电电流会导致电池组的温度太高，这将导致汽车的安全问题。本文提出了一种结合模糊控制器和改进的Savitzky-Golay过滤器的智能能源管理策略，以实时控制。模拟结果表明，与单个ESS相比，该策略提出的电池的最大电流减少了14.60％，并且在测试驾驶周期中，电池的可用周期寿命增加了57.31％。同时，它探索了各种变化，使超级电容器单体处于同一HESS中，并预测下一个超级电容器将使体积和质量减少约31.58％。
Pursuing optimal power distribution in hybrid energy storage systems has always been the goal of researchers. Here, HESS is a combination of lithium battery and supercapacitor; this combination has been proven to effectively compensate for some of the deficiencies of lithium batteries as an energy system for electric vehicles. For example, the energy storage system with only lithium batteries cannot provide high power in a short time to meet the high acceleration performance of electric vehicles, and the excessive discharge current will cause the temperature of the battery pack to be too high, which will cause safety problems for the car. This paper proposes an intelligent energy management strategy combining fuzzy controller and improved Savitzky-Golay filter for real-time control. The simulation results show that compared with single ESS, the maximum current of the battery proposed by the strategy is reduced by 14.60%, and the usable cycle life of the battery is increased by 57.31% during the test driving cycle. Meanwhile, it explores various changes brought supercapacitor monomers in the same HESS, and predict the next supercapacitor will bring about 31.58% reduction of volume and mass.
