基于双状态动态规划混动汽车坡道生态驾驶策略

doi:10.3969/j.issn.1674-8484.2021.03.012

汽车安全与节能学报 ›› 2021, Vol. 12 ›› Issue (3): 373-379.DOI: 10.3969/j.issn.1674-8484.2021.03.012

基于双状态动态规划混动汽车坡道生态驾驶策略

付雪青¹^,²(), 王宝森², 杨建军²^,^*(), 高海洋², 何邦全¹, 赵华¹, 郭文翠², 刘双喜²

1.天津大学机械工程学院,天津 300354,中国
2.中国汽车技术研究中心有限公司汽车工程研究院,天津 300300,中国

收稿日期:2021-05-12 出版日期:2021-09-30 发布日期:2021-10-09
通讯作者: 杨建军
作者简介:* 杨建军（1980—）,高级工程师。E-mail: yangjianjun@catarc.ac.cn。
付雪青（1986—）,男（汉族）,天津,博士。E-mail: xueqingfu@tju.edu.cn。
基金资助:
内燃机可靠性国家重点实验室开放课题(skler-202007);国家重点研发计划(2017YFB0103401)

Eco-driving strategy at ramp road for hybrid electric vehicles based on two-state dynamic programming

FU Xueqing¹^,²(), WANG Baosen², YANG Jianjun²^,^*(), GAO Haiyang², HE Bangquan¹, ZHAO Hua¹, GUO Wencui², LIU Shuangxi²

1. School of Mechanical Engineering, Tianjin University, Tianjin 300354, China
2. Automotive Engineering Research Institute, China Automotive Technology & Research Center Co. Ltd, Tianjin 300300, China

Received:2021-05-12 Online:2021-09-30 Published:2021-10-09
Contact: YANG Jianjun

摘要/Abstract

摘要：

研究了车辆驶过坡道的驾驶时间对混合动力汽车(HEV)生态驾驶(ECO)策略的影响,通过调整车速来改善驾驶人的驾驶策略以减少车辆能耗。所构建ECO驾驶策略模型,采用以驾驶里程和车速为双状态、以驾驶时间为阶段变量的动态规划,以车辆驱动能量和制动能量之和为目标函数,这是由于在实际道路下HEV油耗主要受车辆需求能量影响。运行于不同驾驶策略,对HEV整车模型进行计算。结果表明:与固定车速驾驶策略相比,采用ECO驾驶策略,对上下坡工况和下上坡工况,车辆油耗分别降低17.6 %和12.2 %;相比于下上坡工况,上下坡工况采用ECO驾驶策略车辆油耗对驾驶时间更加敏感。

关键词: 生态驾驶(ECO), 混合动力汽车(HEV), 坡道, 驾驶时间, 驾驶策略, 双状态动态规划

Abstract:

The effect of driving time of on-road vehicles on eco-driving (ECO) strategy at ramp road was investigated for hybrid electric vehicles (HEV) by using adjusting vehicle speeds to reduce the energy consumed by vehicles. An ECO strategy model was established based on two-state dynamic programming with driving distance and vehicle speed selected as two states, and driving time as a stage variable; The sum of driving and braking energy was used as objection function due to the fuel economy of on-road HEV mainly affected by vehicle energy demand. After calculation from the vehicle model of a HEV operating at different driving strategies, the results show that the fuel economy of the HEV at ECO strategy reduces by 17.6 % for up-down road and 12.2 % for down-up road respectively compared to fixed-speed driving strategy; The influence of driving time on the fuel economy of the HEV at ECO strategy is more obvious at up-down road than at down-up road.

Key words: eco-driving (ECO), hybrid electric vehicle (HEV), ramp road, driving time, driving strategy, two-state dynamic programming

中图分类号:

U461.8

付雪青, 王宝森, 杨建军, 高海洋, 何邦全, 赵华, 郭文翠, 刘双喜. 基于双状态动态规划混动汽车坡道生态驾驶策略[J]. 汽车安全与节能学报, 2021, 12(3): 373-379.

FU Xueqing, WANG Baosen, YANG Jianjun, GAO Haiyang, HE Bangquan, ZHAO Hua, GUO Wencui, LIU Shuangxi. Eco-driving strategy at ramp road for hybrid electric vehicles based on two-state dynamic programming[J]. Journal of Automotive Safety and Energy, 2021, 12(3): 373-379.

图/表 9

图1 道路坡道示意图

图2 双状态动态规划求解原理图

图3 典型用户的驾驶风格分类

图4 典型用户的目标HEV油耗

图5 两种坡道的海拔和坡度轨迹

图6 驾驶时间对上下坡ECO驾驶策略的影响

图7 驾驶时间对下上坡ECO驾驶策略的影响

坡道	驾驶策略	t_d / s	ΔSOC / %	100 km油耗 / L	100 km折合油耗 / L
上下	FSD	60	0.2	6.46	6.47
	ECO	48	1.5	7.38	7.42
	ECO	60	1.8	5.28	5.33
	ECO	72	5.1	3.39	3.54
下上	FSD	60	0.2	6.45	6.46
	ECO	48	1.1	7.11	7.14
	ECO	60	2.3	5.60	5.67
	ECO	72	3.1	4.80	4.89

表1 不同坡道情况下驾驶时间对车辆油耗的影响

图8 在上下坡和下行驶下驾驶时间对油耗的影响

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基于双状态动态规划混动汽车坡道生态驾驶策略

Eco-driving strategy at ramp road for hybrid electric vehicles based on two-state dynamic programming

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