Article
A Novel Design of Hybrid Energy Storage System for Electric Vehicles
In order to provide long-distance endurance and ensure the minimization of a cost function for electric vehicles, a new hybrid energy storage system for an electric vehicle is designed in this paper. So far, the equivalent circuit model for Li-ion battery is common-used for its simplicity and suitability for control and estimation. For the hybrid energy storage system, the paper proposes an optimal control algorithm designed using a Li-ion battery power dynamic limitation rule-based control based on the SOC of the super-capacitor. However, among existing equivalent circuit models, it is seldom to consider the temperature effect, which has a significant influence on electric vehicle (EVs) performance. At the same time, the magnetic integration technology adding a second-order Bessel low-pass filter is introduced to DC-DC converters of electric vehicles. It is difficult to find the relationship between equivalent circuit parameters and state of charge (SOC) and temperature. As a result, the size of the battery is reduced, and the power quality of the hybrid energy storage system is optimized. In our paper, the methodology of fuzzy logic is applied to model Li-ion batteries. By using fuzzy rules, SOC and temperature effect on parameters are described simultaneously with simplicity and clarity. Simulation results show that the fuzzy logic-based model has good accuracy at different temperatures.
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