Adaptive energy management strategy of plug-in hybrid electric bus

被引:3
作者
Zhou, Juanying [1 ,2 ]
Wang, Lufeng [3 ]
Wang, Lei [4 ]
Zhao, Jianyou [1 ]
机构
[1] Changan Univ, Sch Automobile, Xian 710064, Shaanxi, Peoples R China
[2] Shaanxi Vocat &Techn Coll, Coll Automot Engn & Gen Aviat, Xian 710038, Shaanxi, Peoples R China
[3] Shaanxi Coll Commun Technol, Coll Automobile, Xian 710018, Shaanxi, Peoples R China
[4] Tianjin Sino German Univ Appl Sci, Sch Automobile & Rail Transportat, Tianjin 300350, Peoples R China
关键词
Automotive engineering; Plug-in hybrid electric bus; Energy management strategy; Pontryagin 's minimum principle; Fuel consumption; Model -free adaptive control; POWER MANAGEMENT; VEHICLES; SYSTEM;
D O I
10.1016/j.compeleceng.2023.108983
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In this study, the online application of a new energy management strategy (EMS) is proposed for a power-split plug-in hybrid electric bus (PHEB) to improve its system's fuel economy and reduce power battery degradation. The new EMS employs Pontryagin's minimum principle (PMP) and the power battery state of charge (SOC) feedback method to adjust the covariates online. A model-free adaptive control (MFAC) EMS was designed and constructed according to the compact form dynamic linearization model to further obtain accurate SOC feedback; the time-domain cumulative as well as covariate upper and lower limit constraints were used to obtain a real-time MFAC-III strategy for online applications. The average reduction in battery capacity loss on all ten routes was 8.19 %, resulting from the correlation between the MFAC-III EMS and MFAC EMS; evaluations conducted on both strategies indicated that the MFAC-III outperforms the MFAC strategy in hardware-in-the-loop.
引用
收藏
页数:20
相关论文
共 25 条
[1]   Real-Time Energy Management of Battery/Supercapacitor Electric Vehicles Based on an Adaptation of Pontryagin's Minimum Principle [J].
Bao-Huy Nguyen ;
German, Ronan ;
Trovao, Joao Pedro F. ;
Bouscayrol, Alain .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (01) :203-212
[2]   Pathway toward carbon-neutral electrical systems in China by mid-century with negative CO2 abatement costs informed by high-resolution modeling [J].
Chen, Xinyu ;
Liu, Yaxing ;
Wang, Qin ;
Lv, Jiajun ;
Wen, Jinyu ;
Chen, Xia ;
Kang, Chongqing ;
Cheng, Shijie ;
McElroy, Michael B. .
JOULE, 2021, 5 (10) :2715-2741
[3]   Particle swarm optimization-based optimal power management of plug-in hybrid electric vehicles considering uncertain driving conditions [J].
Chen, Zeyu ;
Xiong, Rui ;
Cao, Jiayi .
ENERGY, 2016, 96 :197-208
[4]   A novel energy management method for series plug-in hybrid electric vehicles [J].
Chen, Zheng ;
Xia, Bing ;
You, Chenwen ;
Mi, Chunting Chris .
APPLIED ENERGY, 2015, 145 :172-179
[5]  
[邓涛 Deng Tao], 2016, [中国机械工程, China Mechanical Engineering], V27, P420
[6]   A systematic design and optimization method of transmission system and power management for a plug-in hybrid electric vehicle [J].
Guo, Hongqiang ;
Sun, Qun ;
Wang, Chong ;
Wang, Qinpu ;
Lu, Silong .
ENERGY, 2018, 148 :1006-1017
[7]  
He Z. C., 2015, J TSINGHUA U SCI TEC, P9
[8]  
Jichao H, 2023, Energy, V278
[9]   Energy Optimal Real-Time Navigation System [J].
Jurik, Tomas ;
Cela, Arben ;
Hamouche, Redha ;
Natowicz, Rene ;
Reama, Abdellatif ;
Niculescu, Silviu-Iulian ;
Julien, Jerome .
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2014, 6 (03) :66-79
[10]   An Adaptive Concept of PMP-Based Control for Saving Operating Costs of Extended-Range Electric Vehicles [J].
Lee, Woong ;
Jeoung, Haeseong ;
Park, Dohyun ;
Kim, Namwook .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (12) :11505-11512