A Control Strategy for Capacity Allocation of Hybrid Energy Storage System Based on Hierarchical Processing of Demand Power

TL;DR

This paper introduces an intelligent control strategy for hybrid energy storage systems in electric vehicles, optimizing power distribution and enhancing battery lifespan while reducing size and weight of supercapacitors.

Contribution

It proposes a fuzzy controller with improved Savitzky-Golay filter for real-time management of hybrid energy storage, improving safety and efficiency.

Findings

Battery current reduced by 14.60%

Battery cycle life increased by 57.31%

Supercapacitor volume and mass reduced by 31.58%

Abstract

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.