Power-Energy-Life Coupling Characteristics Based Multi-Objective Parameter Optimization of Hybrid Energy Storage System

Yulong Zhao, Weida Wang, Lijin Han, Hongbin Mu


In order to improve the overall electrical performance of hybrid electric vehicle (HEV), raise the efficiency of hybrid energy storage system (HESS) and prolong the cycle life of power battery, parameter matching and optimization is the key research focus to achieve this goal. Based on the Power-Energy-Cycle life coupling characteristics of the battery in HESS, we reveal the relationship and establish the coupling relationship model among the C-rate (power level), the Depth of the Charge/Discharge (energy level) and the cycle life, and each of them has coupling relationship with the other two terms. Then on this basis, combined with the power and energy distribution in integrate driving cycle for HEV, we choose battery logic threshold power, battery available capacity super capacitor capacity as optimal variables, establish the cycle life cost model, the total endurance mileage model in pure electric mode, braking power recovery rate model and the models of quality, volume and price. Besides, according to the power-energy-life coupling characteristic analysis of HESS and each optimization sub models, we can obtain the weighted multidimensional objective function of the HESS performance requirement for hybrid electric vehicle. The dimensionless linear function normalization method is adopted to coordinate and unify each sub-objective function for optimization. Therefore, the parameter matching optimization method for the battery pack - ultra capacitor is proposed based on the coupling properties of HESS.


Hybrid Energy Storage System, Multi-Objective Parameter Optimization, Coupling Characteristics, Hybrid Electric Vehicle.


Full Text:



  • There are currently no refbacks.