Double Parameter Optimization and Mode Switch Strategy for a Hybrid Energy Storage System

doi:10.7652/xjtuxb201611020

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Double Parameter Optimization and Mode Switch Strategy for a Hybrid Energy Storage System

更新时间：2025-07-09

- Double Parameter Optimization and Mode Switch Strategy for a Hybrid Energy Storage System
- Vol. 50, Issue 11, Pages: 129-135(2016)
- 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/xjtuxb201611020
  CLC： U469.72
- Online First：10 November 2016，
  
  Published：2016
- 稿件说明：
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Double Parameter Optimization and Mode Switch Strategy for a Hybrid Energy Storage System[J]. 2016, 50(11): 129-135.
DOI：

Double Parameter Optimization and Mode Switch Strategy for a Hybrid Energy Storage System[J]. 2016, 50(11): 129-135. DOI： 10.7652/xjtuxb201611020.

摘要

针对电动汽车多模式复合电源系统的工作模式频繁切换、系统参数优化不易实现的问题

结合超级电容荷电状态、需求功率以及部件效率

提出一种基于平均功率和滞环控制的双参数组合优化切换控制策略。通过实时平均功率跟踪和滞环控制来避免工作模式频繁切换

提高系统稳定性; 通过建立双参数组合优化的模拟退火目标函数来优化系统工作效率。对所搭建的复合电源系统仿真模型与实车测试进行比较验证

结果表明:采用双参数组合优化切换控制策略能降低复合电源工作模式切换频率和电池输出频率

有效保证了系统的稳定性和电池安全

从而提高系统效率和延长电池使用寿命; 与基线控制策略相比

实车测试时复合电源系统工作效率提高了1.8%。该结果可为电动汽车复合电源系统研究提供参考。

Abstract

To avoid frequent mode switching and optimize the system control parameters for multi-mode hybrid energy storage system(HESS)

a mode switch strategy with double parameter optimization(DPO)is proposed. Combining the state of charge(SOC)of ultra-capacitor(UC)

power demand and the component efficiency

the DPO is integrated with the hysteresis control based on the real-time average power. The frequent mode switching can be effectively avoided and the system stability of the multi-mode HESS can be improved via the hysteresis control. To achieve the optimization of the overall system efficiency

the goal function of the simulated annealing optimization is established. The simulations and experiments verify the effectiveness of the DPO switch strategy. A comparison shows that the DPO switch strategy enables to reduce the frequencies of mode switching and of battery power output. The system stability and the battery safety are effectively guaranteed

and the overall system efficiency is improved and the battery life is extended simultaneously. Compared with the rule-based strategy

the overall system efficiency is improved up to 1.8%.

关键词

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references

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