基于功率比的混合动力汽车模糊自适应等效燃油消耗最小策略研究

施德华; 容香伟; 汪少华; 陈龙

doi:10.7652/xjtuxb202201002

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基于功率比的混合动力汽车模糊自适应等效燃油消耗最小策略研究

专题新型燃料与燃烧过程优化 | 更新时间：2025-05-08

- 基于功率比的混合动力汽车模糊自适应等效燃油消耗最小策略研究
- Fuzzy Adaptive Equivalent Consumption Minimization Strategy for Hybrid Electric Vehicle Based on Power Ratio
- 西安交通大学学报 2022年56卷第1期页码：12-21
- 作者机构：
  
  1. 江苏大学汽车工程研究院,江苏,镇江,212013
  2. 重庆理工大学汽车零部件先进制造技术教育部重点实验室,重庆,400054
- 作者简介：
- 基金信息：
  
  : 2021-08-17。作者简介: 施德华(1989—),男,副教授,硕士生导师。基金项目: 国家自然科学基金资助项目(51905219,U1764257);中国博士后科学基金资助项目(2019M661752);汽车零部件先进制造技术教育部重点实验室开放课题基金资助项目(2020KLMT05)
- DOI：10.7652/xjtuxb202201002
  中图分类号： U463.2
- 网络首发：2022-01-10，
  
  纸质出版：2022
- 稿件说明：
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施德华, 容香伟, 汪少华, 等. 基于功率比的混合动力汽车模糊自适应等效燃油消耗最小策略研究[J]. 西安交通大学学报, 2022,56(1):12-21.

Fuzzy Adaptive Equivalent Consumption Minimization Strategy for Hybrid Electric Vehicle Based on Power Ratio[J]. 2022, 56(1): 12-21.
施德华, 容香伟, 汪少华, 等. 基于功率比的混合动力汽车模糊自适应等效燃油消耗最小策略研究[J]. 西安交通大学学报, 2022,56(1):12-21. DOI： 10.7652/xjtuxb202201002.

Fuzzy Adaptive Equivalent Consumption Minimization Strategy for Hybrid Electric Vehicle Based on Power Ratio[J]. 2022, 56(1): 12-21. DOI： 10.7652/xjtuxb202201002.

摘要

针对基于优选固定等效因子的等效燃油消耗最小策略(ECMS)工况适应性差的问题

提出一种基于功率比的自适应ECMS(PR-AECMS)。以功率分流式混合动力汽车为对象

建立采用电池荷电状态(SOC)修正ECMS等效因子的显示自适应求解模型

针对仅基于SOC反馈修正等效因子的不足

引入相邻时段平均功率作为ECMS等效因子前馈调节变量

通过研究相邻时段平均功率、前一时段电池充放电行为

以及不同电池SOC实时值和参考值等因素对等效因子修正机制的影响

提出基于多模糊控制器切换的ECMS等效因子自适应求解方法

根据电池SOC和前一时段车辆平均功率制定各模糊控制器的切换逻辑

以当前时段与前一时段的平均功率比、前一时段电池SOC变化量为各模糊控制器输入

基于标准循环工况的全局优化结果确定模糊控制参数。基于不同标准循环工况的仿真结果表明

相较于无功率比修正的AECMS

本文提出的PR-AECMS使整车在大范围工况下具有更优越的等效燃油经济性和电池充放电平衡特性

有效提高了ECMS策略的工况适应性。

Abstract

Aiming at the poor cycle adaptability of the equivalent consumption minimization strategy(ECMS)with calibrated constant equivalence factor

this paper proposes a power ratio based adaptive ECMS(PR-AECMS)for hybrid electric vehicles(HEV). For the power split HEVs

an explicit adaptive model that corrects the equivalence factor of the ECMS with the battery state of charge(SOC)is established. Aiming at the deficiency of the adaptive method in correcting the equivalent factor only based on the feed-back SOC

the average power of the adjacent time periods is introduced as the feed-forward correction variable of the equivalent factor. The impacts of different factors

such as the average power of the adjacent time periods

the battery charging and discharging behavior in the previous period

and different real-time and reference values of battery SOC

on the correction mechanism of the equivalence factor are studied. Then

the adaptive solving method of the equivalence factor based on multi-fuzzy controller switching is proposed. The switching logic of different fuzzy controllers is determined according to the previous average power and the current battery SOC. The SOC variation value of the previous time period and the ratio of current average power to previous one are set as the inputs of the different fuzzy controllers. Based on the global optimization results under standard cycles

the fuzzy control parameters are designed. Simulation results under different standard test cycles demonstrates that

compared with the AECMS without power ratio correction

the proposed PR-AECMS possesses better equivalent fuel economy and battery charging balance in a wide range of driving cycles. The cycle adaptability of the ECMS is effectively improved.

关键词

Keywords

references

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