压缩天然气发动机增程式电动汽车能量管理优化

doi:10.13229/j.cnki.jdxbgxb.20221098

吉林大学学报(工学版) ›› 2024, Vol. 54 ›› Issue (3): 600-609.doi: 10.13229/j.cnki.jdxbgxb.20221098

• 车辆工程·机械工程 • 上一篇

压缩天然气发动机增程式电动汽车能量管理优化

赵靖华^1,^2,³(),张雨彤¹,曹派¹(),王忠恕²,李小平²,孙亚南³,解方喜^2,³

^1.吉林师范大学计算机学院，吉林四平 136000
^2.吉林大学汽车仿真与控制国家重点实验室，长春 130022
^3.江苏汉旭和电源科技有限公司，江苏扬州 225000

收稿日期:2022-08-26 出版日期:2024-03-01 发布日期:2024-04-18
通讯作者: 曹派 E-mail:zhaojh08@mails.jlu.edu.cn;rajacakkavattin@foxmail.com
作者简介:赵靖华（1980-），男，副教授，博士.研究方向：先进控制理论应用.E-mail：zhaojh08@mails.jlu.edu.cn
基金资助:
吉林省科技厅项目(20200301021RQ);吉林大学汽车仿真与控制国家重点实验室开放课题项目(20191201)

Optimal energy management on extended⁃range electric vehicle equipped with compressed natural gas engine

Jing-hua ZHAO^1,^2,³(),Yu-tong ZHANG¹,Pai CAO¹(),Zhong-shu WANG²,Xiao-ping LI²,Ya-nan SUN³,Fang-xi XIE^2,³

^1.College of Computer，Jilin Normal University，Siping 136000，China
^2.State Key Laboratory of Automotive Simulation and Control，Jilin University，Changchun 130022，China
^3.Jiangsu Hanxuhe Power Technology Co. ，Ltd. ，Yangzhou 225000，China

Received:2022-08-26 Online:2024-03-01 Published:2024-04-18
Contact: Pai CAO E-mail:zhaojh08@mails.jlu.edu.cn;rajacakkavattin@foxmail.com

摘要/Abstract

摘要：

根据一台压缩天然气（CNG）发动机试验数据，建立了CNG发动机增程式电动汽车模型。基于该模型提出了一种基于规则的能量管理策略，能够保证CNG发动机工作在高效区，但是存在电流波动幅度较大有损电池寿命的问题。为了抑制电流激变同时进一步降低增程式电动汽车（E-REV）的燃油消耗，基于模型预测控制（MPC）技术，提出了一种协同燃油消耗与电池保护的能量管理优化策略。世界轻型汽车测试循环（WLTC）工况下的仿真分析表明：相比于基于规则的能量分配控制器，本文提出的MPC控制器能够进一步降低3.7%的油耗，同时抑制了电流激变，有效保护了电池。

关键词: 自动控制技术, 模型预测控制, 能量管理, 增程式混合动力车辆, 压缩天然气发动机

Abstract:

An extended-range electric vehicle model with a compressed natural gas （CNG） engine was established referring to the experimental test data of the CNG engine. A rule‐based method for power split was proposed to ensure that the CNG engine works in the high-efficiency area. However， its current fluctuates greatly， which will result in a damaged battery. In order to suppress the current surge and further improve fuel consumption， a model predictive control （MPC） method for power split coordinating fuel consumption and battery protection was proposed. Simulation results show that the proposed MPC method can further reduce fuel consumption by 3.7% and suppress the current surge for effectively protecting the battery， as compared to the rule‐based method under a world light test cycle （WLTC） driving cycle.

Key words: automatic control technology, model predictive control, energy management, extended-range electric vehicle, compressed natural gas engine

中图分类号:

TP273

赵靖华,张雨彤,曹派,王忠恕,李小平,孙亚南,解方喜. 压缩天然气发动机增程式电动汽车能量管理优化[J]. 吉林大学学报(工学版), 2024, 54(3): 600-609.

Jing-hua ZHAO,Yu-tong ZHANG,Pai CAO,Zhong-shu WANG,Xiao-ping LI,Ya-nan SUN,Fang-xi XIE. Optimal energy management on extended⁃range electric vehicle equipped with compressed natural gas engine[J]. Journal of Jilin University(Engineering and Technology Edition), 2024, 54(3): 600-609.

图/表 9

图1

表1

车辆模型参数"

变量	数值	变量	数值
车辆质量 $M$ /kg	1254	主减速比 $i 0$	4.05
空气密度 $ρ$ /（kg·m^-3）	1.2	一档速比 $i 1$	3.608
车辆迎风面积 $A f$ /m²	2.52	二档速比 $i 2$	2.05
空气阻力系数 $C d$	0.3	三档速比 $i 3$	1.237
滚动阻力系数 $β$	0.015	四挡速比 $i 4$	0.91
轮胎半径 $r$ /m	0.287	五挡速比 $i 5$	0.747
传动效率 $η t$	0.96

表1

图2

图3

图4

图5

图6

图7

图8

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压缩天然气发动机增程式电动汽车能量管理优化

Optimal energy management on extended⁃range electric vehicle equipped with compressed natural gas engine

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