模糊控制的电动车复合电源能量管理研究

赵国柱; 黄相; 孙琼琼; 唐惊幽; 康金涛

doi:10.13873/J.1000-9787(2017)01-0048-04

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模糊控制的电动车复合电源能量管理研究

研究与探讨 | 更新时间：2025-09-11

- 模糊控制的电动车复合电源能量管理研究
- Study on hybrid power energy management of electric vehicles based on fuzzy control
- 传感器与微系统 2017年36卷第1期页码：48-51+55
- 作者机构：
  
  1. 南京农业大学工学院
  2. 上海汇众汽车制造有限公司
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目（51005113）;江苏省农机局科研启动基金资助项目（Gxz10003）
- DOI：10.13873/J.1000-9787(2017)01-0048-04
  中图分类号： U469.72
- 纸质出版：2017
- 稿件说明：
移动端阅览
[1]赵国柱,黄相,孙琼琼,唐惊幽,康金涛.模糊控制的电动车复合电源能量管理研究[J].传感器与微系统,2017,36(01):48-51+55.

ZHAO Guo-zhu, HUANG Xiang, SUN Qiong-qiong, et al. Study on hybrid power energy management of electric vehicles based on fuzzy control[J]. 2017, 36(1): 48-51+55.
[1]赵国柱,黄相,孙琼琼,唐惊幽,康金涛.模糊控制的电动车复合电源能量管理研究[J].传感器与微系统,2017,36(01):48-51+55. DOI： 10.13873/J.1000-9787(2017)01-0048-04.

ZHAO Guo-zhu, HUANG Xiang, SUN Qiong-qiong, et al. Study on hybrid power energy management of electric vehicles based on fuzzy control[J]. 2017, 36(1): 48-51+55. DOI： 10.13873/J.1000-9787(2017)01-0048-04.

摘要

针对由蓄电池与超级电容器组成的电动汽车复合电源

为减缓蓄电池功率变化

提出了模糊逻辑控制能量管理策略

建立了蓄电池—超级电容复合电源系统仿真模型

在ADVISOR中进行仿真

得到了复合电源最佳荷电状态初始值。结果表明:对比于逻辑门限控制

模糊逻辑控制的蓄电池功率变化缓慢

减轻了蓄电池的负担。

Abstract

In order to slow down change of battery power

a novel energy management strategy based on fuzzy logic control is developed for hybrid power system including a battery bank and an ultra-capacitor bank. Models for hybrid power system is developed and simulated in ADVISOR

and the optimal initial state of charge for hybrid power is obtained. The results show that compared with the logic threshold strategy

the fuzzy logic control can decrease the change rate of battery power and reduce the battery power loads.

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references

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