Adaptive Optimization of Energy Management Strategy for a Multi-Mode Hybrid Energy Storage System in Electric Vehicles

doi:10.7652/xjtuxb201512021

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Adaptive Optimization of Energy Management Strategy for a Multi-Mode Hybrid Energy Storage System in Electric Vehicles

更新时间：2025-07-09

- Adaptive Optimization of Energy Management Strategy for a Multi-Mode Hybrid Energy Storage System in Electric Vehicles
- Vol. 49, Issue 12, Pages: 130-136(2015)
- 作者机构：
  
  西安交通大学机械制造系统工程国家重点实验室,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201512021
  CLC： U469.72
- Online First：10 December 2015，
  
  Published：2015
- 稿件说明：
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Adaptive Optimization of Energy Management Strategy for a Multi-Mode Hybrid Energy Storage System in Electric Vehicles[J]. 2015, 49(12): 130-136.
DOI：

Adaptive Optimization of Energy Management Strategy for a Multi-Mode Hybrid Energy Storage System in Electric Vehicles[J]. 2015, 49(12): 130-136. DOI： 10.7652/xjtuxb201512021.

摘要

为提高电动汽车的多模式复合电源系统效率

提出一种能量管理自适应优化方法。对多模式复合电源工作模式进行分析

设计超级电容自适应参考电压。建立复合电源系统效率优化目标函数

并结合电池荷电状态和超级电容电压设计电池输出功率补偿规则和能量管理自适应优化方法。搭建多模式复合电源系统仿真模型和测试平台进行测试。测试结果表明:在UDDS和NEDC路况下

与滞环控制相比

采用能量管理自适应优化的多模式复合电源系统效率分别提高1.13%和1.02%。采用能量管理自适应优化的多模式复合电源不仅能自适应选择工作模式和完成电池输出功率补偿

而且避免了电池输出功率突然增大

保证了电池安全。

Abstract

An adaptive optimization method(ADM)for energy management strategy is proposed to improve the efficiency of the multi-mode hybrid energy storage system(HESS)in electric vehicles. The operating modes of the multi-mode HESS are first analyzed

and an adaptive reference voltage of the ultracapacitor(UC)is defined. The objective of optimization focuses on the efficiency of the overall system. And the compensation rules of the battery power output and the ADM for energy management strategy are designed by combining the battery state of charge(SOC)and the UC voltage. A simulation model and an experimental platform are then established. Compared with the multi-mode HESS with the hysteresis control strategy in the UDDS and the NEDC drive cycles show that the ADM improves the overall system efficiency of the multi-mode HESS up to 1.13% and 1.02%

respectively. The multi-mode HESS with the ADM for energy management strategy can not only achieve the adaptive selection of operating modes and the compensation of the battery power output

but also avoid the excessive power output of the battery

so the battery safety is ensured.

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Keywords

references

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