TTR汽车等效燃油消耗最小的能量管理策略研究

doi:10.19562/j.chinasae.qcgc.2023.02.013

Abstract

Abstract:

To improve the economy of through-the-road （TTR） vehicle， which realizes dynamic coupling and battery charging through-the-road， a fuzzy adaptive equivalent fuel consumption minimizing strategy （FAECMS） is proposed in this paper. After analyzing the structure and working modes of TTR vehicle， the constant equivalent factor ECMS（CECMS） is calculated based on equivalent fuel consumption minimizing strategy （ECMS）. In order to keep the battery SOC stable and control the engine to work in low fuel consumption area， the total equivalent torque of the engine for driving and the battery SOC are fuzzed and fuzzy control rules of equivalent factor are established. CECMS and FAECMS models including TTR vehicle dynamics are established by MATLAB/Simulink. Under the three types of standard working conditions of FTP75， CLTC and WLTP， when the initial value of battery SOC is 60%， simulation calculation is carried out. The results show that the battery SOC is more stable with FAECMS， and compared with CECMS， the fuel of FAECMS is saved by 5.5%， 2.6% and 8.3% respectively.

Key words: TTR vehicle, equivalent fuel consumption, fuzzy control, energy management strategy

Jinxia Liu,Zhihao Liang,Qiang Wang,Mingxing Wen. Research on the Equivalent Fuel Consumption Minimizing Energy Management Strategy of Through-the-Road Vehicle[J].Automotive Engineering, 2023, 45(2): 285-292.

Figures/Tables 26

参数	数值
整车质量m/kg	1 450
车轮半径r/m	0.35
旋转质量换算系数	1
空气阻力系数C_d	0.3
最大迎风面积A/m²	2.3
滚动阻力系数f	0.015
主减速器速比i₀	4
变速器传动比i_g	［3.6， 2.215， 1.458， 1， 0.857］
发动机最大转矩T_emax/（N·m）	160
发动机转速范围/（r·min^-1）	800~6 000
电机最大转矩T_mmax/（N·m）	400
电机最大转速/（r·min^-1）	1 200
电机最大功率P_mmax/kW	10
电机传动效率 $δ t r a$	0.9
电池容量Q_max/（A·h）	8
电池额定电压U/V	340

References 16

1	中国汽车工程学会. 节能与新能源汽车技术路线图2.0［M］. 北京：机械工业出版社，2021.
	China Society of Automotive Engineers. Energy-saving and new energy vehicle technology roadmap 2.0［M］. Beijing： China Machinery Industry Press， 2021.
2	TRAN D D， VAFAEIPOUR M， BAGHDADI M E， et al. Thorough state-of-the-art analysis of electric and hybrid vehicle powertrains topologies and integrated energy management strategies［J］. Renewable and Sustainable Energy Reviews， 2019，119： 109596.
3	RIZZO G， NAGHINAJAD S， TIANO F A， et al. A survey on through-the-road hybrid electric vehicles［J］. Electronics， 2020， 9（5）： 879.
4	SABRI M F M， HUSIN M H， JOBLI M I， et al. An overview of modeling and control of a through-the-road hybrid electric vehicle［C］. 11^th National Technical Seminar on Unmanned System Technology. Hong Kong， China： IEEE， 2021.
5	SABRI M F M， DANAPALASINGAM K A， RAHMAT M F. Improved fuel economy of through-the-road hybrid electric vehicle with fuzzy logic-based energy management strategy［J］. International Journal of Fuzzy Systems， 2018， 20（8）： 2677-2692.
6	WANG H， HUANG Y， SOLTANI A， et al. Cyber-physical predictive energy management for through-the-road hybrid vehicles［J］. IEEE Transactions on Vehicular Technology， 2019， 68（4）： 3246-3256.
7	YAMIN M， MAHANDARI C P， SUDONO R H. Dynamic simulation of wheel drive and suspension system in a through-the-road parallel hybrid electric vehicle［C］. Proceedings of Second International Conference on Electrical Systems， Technology and Information 2015， Springer Science+Business Media Singapore 2016： 263-270.
8	HOLDSTOCK T， SORNIOTTI A， SURYANTO N A， et al. Linear and non-linear methods to analyse the drivability of a through-the-road parallel hybrid electric vehicle［J］. International Journal of Powertrains， 2013， 2（1）：52-77.
9	金辉，张子豪. 基于自适应动态规划的HEV能量管理研究综述［J］. 汽车工程， 2020， 42（11）： 1490-1496.
	JIN H， ZHANG Z H. Review of research on HEV energy management based on adaptive dynamic programming ［J］. Automotive Engineering， 2020， 42（11）： 1490-1496.
10	李跃娟，齐巍，王成，等. 并联混合动力汽车ECMS的时变等效因子提取算法的研究［J］. 汽车工程， 2021， 43（2）：181-188.
	LI Y J， QI W， WANG C， et al. Study on extraction algorithm for time‑varying equivalent factor of ECMS for parallel hybrid electric vehicle［J］. Automotive Engineering， 2021， 43（2）： 181-188.
11	胡建军，杨颖，邹玲菠，等. 混合动力汽车自适应等效油耗最低能量管理策略［J］. 重庆大学学报， 2021， 44（12）： 80-94.
	HU J J， YANG Y， ZOU L B， et al. Adaptive equivalent consumption minimization strategy for plug-in hybrid electric vehicle［J］. Journal of Chongqing University， 2021， 44 （12）： 80-94.
12	王文彬，田韶鹏，郑青星，等. 基于FA的等效燃油消耗最小控制策略优化［J］. 江苏大学学报（自然科学版）， 2022， 43（2）： 147-153.
	WANG W B， TIAN S P， ZHANG Q X， et al. Optimization of equivalent fuel consumption minimization strategy based on firefly algorithm［J］. Journal of Jiangsu University （Natural Science Edition）， 2022， 43 （2）： 147-153.
13	邓涛，罗俊林，李军营，等. 基于近似ECMS策略的HEV自适应规则能量管理控制研究［J］. 汽车工程， 2017， 39（6）： 607-614.
	DENG T， LUO J L， LI J Y， et al. A study on adaptive rule energy management control for HEV based on approximate ECMS［J］. Automotive Engineering， 2017， 39 （6）： 607-614.
14	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.
	SHI D H， RONG X W， WANG S H， et al. Fuzzy adaptive equivalent consumption minimization strategy for hybrid electric vehicle based on power ratio［J］. Journal of Xi'an Jiaotong University， 2022， 56 （1）： 12-21.
15	董丹秀，杨坤，焦健，等. 轮毂电机式增程电动车参数匹配与性能分析［J］．广西大学学报（自然科学版），2019，44（6）：1615-1626.
	DONG D X， YANG K， JIAO J. Parameter matching and performance analysis of extended range electric vehicledriven by in-wheel motors ［J］. Journal of Guangxi University （Natural Sci enceEdition）， 2019，44（6）：1615-1626.
16	袁宏亮，刘莉，吕桃林，等. 基于改进模型的锂离子电池SOC估计［J］. 电池， 2021， 51（5）： 445-449.
	YUAN H L， LIU L， LV T L， et al. SOC estimation for Li-ion battery based on improved model［J］. Battery Bimonthly， 2021， 51（5）： 445-449.

[1]	ZONG Yi-Qi, GU Zheng-Qi, LUO Ze-Min, JIANG Cai-Mao, ZHANG Qi-Dong, YANG Zhen-Dong. [J]. , 2016, 38(12): 1427 -1433 .
[2]	ZHAO Liang, ZHANG Qiang, GUO Kong-Hui. [J]. , 2017, 39(1): 86 -91 .
[3]	ZOU Tie-Fang, HU Lin, LI Ping-Fan, YI Liang. [J]. , 2017, 39(1): 41 -46 .
[4]	ZUO Wen-Jie, CHEN Ji-Shun, LI Yi-Wen, LIU Nian. [J]. , 2017, 39(2): 145 -149 .
[5]	DOU Hong-Xian, SHI Chun, QIN Lin-Lin, WU Gang. [J]. , 2017, 39(2): 220 -224 .
[6]	YU Zhuo-Ping, LENG Bo. [J]. , 2017, 39(3): 243 -248 .
[7]	. Design and Implementation of Electric Vehicle Drive Motor Control Based on AUTOSAR[J]. , 0, (): 0 .
[8]	CHEN Wu-Wei, JIANG Yu-Ting, TAN Dong-Kui. [J]. , 2017, 39(3): 357 -363 .
[9]	ZHOU Min, ZHANG Jie, ZHENG Min-Yi, ZHANG Nong, ZHANG Bang-Ji. [J]. , 2017, 39(4): 447 -456 .
[10]	WANG Hong-Liang, ZHANG Qing-Ke, GU Wen-Hao, HUANG Di. [J]. , 2017, 39(4): 480 -485 .

序号	工作模式	发动机状态	电机状态
1	纯发动机驱动	驱动	关闭
2	纯电机驱动	关闭	驱动
3	混合驱动	驱动	驱动
4	制动能量回收	关闭	发电
5	驱动充电	驱动	发电

等效因子i		SOC
等效因子i		NB	NS	ZE	PS	PB
所需总转矩T_a	NB	PS	PS	ZE	NS	NB
	NM	PS	PS	ZE	NS	NB
	NS	PB	PS	ZE	ZE	NS
	ZE	PB	PS	PS	ZE	NB
	PS	PB	PS	PS	ZE	NB
	PM	PS	ZE	NS	NS	NB
	PB	PS	ZE	NS	NS	NB

工作模式	FTP75（s）/频次		CLTC（s）/频次		WLTP（s）/频次
工作模式	FAECMS	CECMS	FAECMS	CECMS	FAECMS	CECMS
1	26/11	25/17	23/14	20/14	19/33	21/76
2	513/144	544/139	499/159	499/182	506/264	508/285
3	64/80	45/103	74/160	94/152	34/428	49/465
4	786/89	786/89	765/87	765/87	669/75	669/75
5	237/88	226/104	230/153	210/104	192/396	175/416

[1]	Xiao Wu, Wenku Shi, Zhiyong Chen. Active Suspension Control Based on Interacting Multiple Model Kalman Filter [J]. Automotive Engineering, 2023, 45(7): 1200-1211.
[2]	Yunfei Zha,Xiaoshan Shi,Hao Wu,Minxu Li,Huiqin Chen. Study of Vehicle Aerodynamics Characteristic Based on Active Tilting Rear Wing [J]. Automotive Engineering, 2023, 45(3): 489-500.
[3]	Chunyang Qi,Chuanxue Song,Shixin Song,Liqiang Jin,Da Wang,Feng Xiao. Research on Energy Management Strategy for Hybrid Electric Vehicles Based on Inverse Reinforcement Learning [J]. Automotive Engineering, 2023, 45(10): 1954-1964.
[4]	Shiju Pan,Yongle Li,Zixian Li,Binbing He,Yuan Zhu,Youchun Xu. Path Following Method of Intelligent Vehicles Based on Improved Pure Tracking [J]. Automotive Engineering, 2023, 45(1): 1-8.
[5]	Yongtao Liu,Chuanpan Liu,Xiangan Liu,Yisong Chen,Jie Qiao. Automatic Emergency Braking System Based on Model Predictive Control with Adaptive Sampling Time [J]. Automotive Engineering, 2023, 45(1): 32-41.
[6]	Yong Chen,Changyin Wei,Xiaoyu Li,Yanlin Li,Caixia Liu,Xiaozhe Lin. Research on Fuzzy Energy Management Strategy for Extended-Range Electric Vehicles with Driving Condition Identification [J]. Automotive Engineering, 2022, 44(4): 514-524.
[7]	Junqiu Li,Jiwei Liu,Chaofeng Zhu. Research on Energy Management of Hybrid Electric Vehicle Based on Time-Varying Chassis Configuration [J]. Automotive Engineering, 2022, 44(12): 1866-1876.
[8]	Xuebing Yin,Yong Chen,Qinglin Dai,Hai Liu,Naili Tian,Bolin He. Study on Shift Schedule of 2DCT for Pure Electric Vehicle Based on NSGA-Ⅱ Algorithm and Fuzzy Control [J]. Automotive Engineering, 2022, 44(10): 1571-1580.
[9]	Xiangjing Guo,Pan Sun,Jie Deng,Yong Liu,Zhuang Liu,Shuangping Liu. Research on AEB Control Strategy of a Heavy Tractor-Semitrailer Combination Based on BP Neural Network Algorithm Prediction [J]. Automotive Engineering, 2021, 43(9): 1350-1359.
[10]	Ningkang Yang,Lijin Han,Hui Liu,Xin Zhang. Research on Efficiency Optimization Based Energy Management Strategy for a Hybrid Electric Vehicle with Reinforcement Learning [J]. Automotive Engineering, 2021, 43(7): 1046-1056.
[11]	Jie Hu,Ming Wang,Di Liu,Fuwu Yan,Kai Cao. Optimization of Control Strategy for Hybrid Power System Based on Traffic Information [J]. Automotive Engineering, 2021, 43(5): 675-682.
[12]	Hao Zhang,Qinhao Fan,Wei Wang,Jin Huang,Zhi Wang. Reinforcement Learning Based Energy Management Strategy for Hybrid Electric Vehicles Using Multi⁃mode Combustion [J]. Automotive Engineering, 2021, 43(5): 683-691.
[13]	Long Chen,Zhixing Chen,Xing Xu,Feng Wang,Yingfeng Cai,Tao Zhang. Energy Management Strategy of Plug⁃in Hybrid Electric Vehicle with Engine Start and Stop Optimization [J]. Automotive Engineering, 2021, 43(3): 313-322.
[14]	Peng Bo, Li Junqiu, Sun Fengchun, Zhu Xuebin, Wan Cuncai. Research on Differential Drive Steering Control Strategy for Rear Axles of Multi-Axle Distributed Electric Drive Vehicle [J]. Automotive Engineering, 2020, 42(7): 909-916.
[15]	Yang Ye, Zhang Youtong, Zhang Biao, Hu Shaoyi. Adaptive Energy Management Strategy for Plug-in Hybrid Electric Bus Based on Equivalent Factor Optimization [J]. Automotive Engineering, 2020, 42(3): 292-298.

Research on the Equivalent Fuel Consumption Minimizing Energy Management Strategy of Through-the-Road Vehicle

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 26

References 16

Related Articles 15

Metrics

Comments

Recommended 10

策略	FTP75	CLTC	WLTP
FAECMS	58.5%	59.1%	57.5%
CECMS	65%	57%	54%

策略	FTP75	CLTC	WLTP
FAECMS	0.92	0.78	1.21
CECMS	1.04	0.78	1.26

策略	FTP75	CLTC	WLTP
FAECMS	0.935	0.789	1.235
CECMS	0.99	0.81	1.32