Abstract

The establishment of an integrated fast charging station for photovoltaic storage and charging is an effective solution to fast charging of electric vehicles. For the li-battery/Super capacitor hybrid energy storage system, it is an effective method to reduce the cost of the system by extending the life of the li-batteries. This paper establishes the li-battery cycle life estimation model with irregular discharge and proposes an optimal energy allocation algorithm of li-battery/super capacitor hybrid energy storage system is proposed based on dynamic programming algorithm. Simulation results are presented to validate the theoretical analysis.

Highlights

  • To meet the growing demand for the fast charging stations of electric vehicles, it is necessary to build fast charging stations on a large scale

  • For the hybrid energy storage system of mediumsized electric vehicles, reference [6] selects the maximum battery life and the minimum overall size as the optimization goals, uses dividing rectangles (DIRECT) algorithm to find the optimal configuration combination, and verifying that the DIRECT algorithm can solve the Pareto front of this multi-objective optimization problem

  • This paper proposes an optimal energy allocation algorithm of Li-Battery/super capacitor hybrid energy storage system based on dynamic programming algorithm

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Summary

Introduction

To meet the growing demand for the fast charging stations of electric vehicles, it is necessary to build fast charging stations on a large scale. Reference [4] selects the minimum total cost of the hybrid power system and the minimum capacity loss of the Li-battery as the optimization goals for the hybrid energy storage system of electric vehicles, and uses the non-dominant sorting multi-objective genetic algorithm (NSGA-II) [5] to solve the optimal configuration scheme under the multi-objective. For the hybrid energy storage system of mediumsized electric vehicles, reference [6] selects the maximum battery life and the minimum overall size as the optimization goals, uses dividing rectangles (DIRECT) algorithm to find the optimal configuration combination, and verifying that the DIRECT algorithm can solve the Pareto front of this multi-objective optimization problem. This paper proposes an optimal energy allocation algorithm of Li-Battery/super capacitor hybrid energy storage system based on dynamic programming algorithm.

Semi-empirical model based on Arrhenius degradation model
Model with actual parameters
Dynamic programming algorithm
Determine the objective function
Establish the state transition equation
Establish initial conditions and boundary conditions
Determine the solution sequence
Simulation results
Findings
Conclusion
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