负载跟随阈值变化下的汽车能量管理策略

邝家凯

doi:10.13433/j.cnki.1003-8728.20200644

负载跟随阈值变化下的汽车能量管理策略

doi: 10.13433/j.cnki.1003-8728.20200644

邝家凯

广东理工学院智能制造学院, 广东肇庆 526100

基金项目:

创新强校工程重点项目 GKJ2018012

详细信息

作者简介:
邝家凯(1983-), 本科, 研究方向为智能汽车系统控制及其设计, 405077409@qq.com

中图分类号: U461.91
计量
- 文章访问数: 81
- HTML全文浏览量: 55
- PDF下载量: 11
- 被引次数: 0
出版历程
- 收稿日期: 2021-03-25
- 刊出日期: 2023-04-25

Automotive Energy Management Strategy with Load Following Threshold Change

KUANG Jiakai

College of Intelligent Manufacturing, Guangdong Technology College, Zhaoqing 526100, Guangdong, China

摘要

摘要: 针对并联混合动力汽车的能量管理问题, 提出了一种新的启发式控制策略, 即负载跟随阈值改变策略(LTS)。LTS控制策略基于阈值变化机制和负载跟随方法, 可以与电池荷电状态(SOC)保持成比例的微小偏差, 能够有效确保电池持续稳定运行。与目前应用阈值变化机制的规则控制策略不同, 本文设计LTS控制策略的阈值通过电池荷电状态(SOC)和发动机转速来综合调整动力输出方式, 其能量管理的精细化程度更高。为了验证策略的有效性, 将该策略应用于混合动力汽车进行仿真测试, 并与传统的等效燃油消耗率最小化策略(ECMS)和电动辅助控制策略(EACS)进行性能对比。结果表明: 在燃油经济性方面, LTS控制策略优于EACS控制策略3.1%~10.4%, LTS控制策略优于ECMS控制策略2.5%~5.7%。在电池荷电状态(SOC)方面, LTS控制策略可以使得C_SO值大于60%, 电池具有较好的运行状态。
- 混合动力汽车 /
- 负载跟随 /
- 阈值变化 /
- 能量管理 /
- 控制策略
Abstract: Aiming at the energy management problem of parallel hybrid electric vehicle, a new heuristic control strategy, namely load following threshold change strategy (LTS), was proposed in this paper. Based on the threshold change mechanism and load following method, the LTS control strategy can maintain a small deviation proportional to the battery charge state (SOC), which can effectively ensure the battery to run continuously and stably. Different from the current regular control strategy which also applies the threshold change mechanism, the LTS control strategy designed in this paper comprehensively adjusts the power output mode through the battery state of charge (SOC) and the engine speed, and its energy management is more refined. In order to verify the effectiveness of the LTS strategy, the proposed strategy was applied to the hybrid electric vehicle for simulation test, and its performance was compared with the traditional equivalent fuel consumption minimization strategy (ECMS) and the electric assisted control strategy (EACS). The results show that the LTS control strategy is superior to the EACS control strategy by 3.1%-10.4% in fuel economy, and the LTS control strategy is superior to the ECMS control strategy by 2.5%-5.7%. In terms of battery state of charge (SOC), the LTS control strategy can make the C_SO value greater than 60%, and the battery has a good running state.
- hybrid electric vehicle /
- load following /
- threshold change /
- energy management /
- the control strategy

HTML全文

图 1 并联混合动力汽车的动力总成结构

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图 2 发动机工作效率图

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图 3 电机的效率图

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图 4 两种工况的最优控制图

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图 5 ECMS的工作模式

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图 6 4种模式下的LTS控制策略运行规则

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图 7 WLTP在4个不同阶段的速度分布

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图 8 4种不同工况下的发动机功率和需求功率情况

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图 9 3种不同控制策略的SOC曲线

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表 1 整车主要技术参数

参数	数值
满载质量/kg	1 500
空气阻力系数	0.34
滚动阻力系数	0.008
轮胎半径/m	0.286
迎风面积/m²	2.26
发动机最大功率/kW	63
发动机最大转矩/Nm	145
电机最大功率/kW	25
电机最大转矩/Nm	128
电池类型	铅酸电池
放电容量/Ah	25
主传动比	2.8
变速器传动比	0.75~3.63

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表 2 计算得到的等效系数

工况	S_{d, efc}	S_{c, efc}
WL-L	4.40	3.77
WL-M	4.26	3.28
WL-H	3.70	3.12
WL-E	3.13	2.03

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表 3 不同控制策略的等效燃油消耗及最终C_SO值

工况	LTS	ECMS	EACS
WL-L	0.0920(65.03%)	0.0949(64.40%)	0.1016(61.69%)
WL-M	0.1574(65.04%)	0.1639(65.01%)	0.1733(58.06%)
WL-H	0.2539(64.88%)	0.2684(59.03%)	0.2711(53.33%)
WL-E	0.4077(64.81%)	0.4180(64.77%)	0.4203(55.86%)

下载: 导出CSV

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