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Acta Armamentarii ›› 2023, Vol. 44 ›› Issue (9): 2791-2801.doi: 10.12382/bgxb.2022.1074

Special Issue: 智能系统与装备技术

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Selection and Parameter Optimization of Hybrid Energy Storage System for Intelligent Unmanned Vehicles

HE Qiang*(), LIU Hougang, ZOU Bo, LÜ Bu, CHEN Xulin, DUAN Yu   

  1. Chongqing TieMa Industry Group Co., Ltd., Chongqing 400050, China
  • Received:2022-11-19 Online:2023-05-29
  • Contact: HE Qiang

Abstract:

The rapid development of intelligent unmanned vehicles and their power demands for multi-task loads, along with high-power charging and discharging requirements under complex driving conditions, call for new energy storage system schemes that address the shortcomings of existing single-type energy storage systems. Based on the performance constraints of intelligent unmanned vehicle, such as power performance and silent mileage, a parameter matching optimization method for hybrid energy storage system (HESS) with a focus on lightweight design is proposed to achieve a balance between the input and output capacity of the energy storage system and the overall system quality. By analyzing the basic requirements of unmanned vehicles for energy storage system and the characteristics of different topological structures, the optimal configuration is selected. Based on the requirements of vehicle performance indicators, the energy storage system matching calculation is carried out, and the system parameters are optimized to give full play to the advantages of the hybrid system. The results show that HESS can effectively reduce the high current impact of the power battery and prolong its service life. Meanwhile, the optimization method can effectively reduce the weight of the energy system and improve the comprehensive performance of the vehicle.

Key words: intelligent unmanned vehicle, hybrid energy storage system, topology structure, parameter matching optimization

CLC Number: