Battery state of charge management strategies for a real-time controller of a Plug-in Hybrid Electric Vehicle

被引:5
|
作者
Caramia, Gabriele [1 ]
Cavina, Nicolo [1 ]
Caggiano, Michele [2 ]
Patassa, Stefano [1 ]
Moro, Davide [1 ]
机构
[1] Univ Bologna, Viale Risorgimento 2, I-40136 Bologna, Italy
[2] FEV Italia Srl, Via Mavora 15, I-40019 Bologna, Italy
来源
ATI 2018 - 73RD CONFERENCE OF THE ITALIAN THERMAL MACHINES ENGINEERING ASSOCIATION | 2018年 / 148卷
关键词
Plug-in HEV; ECMS; Energy management; Supevisory controller; Predictive driving;
D O I
10.1016/j.egypro.2018.08.076
中图分类号
O414.1 [热力学];
学科分类号
摘要
This paper deals with the development of energy management strategies for a hybrid electric vehicle (HEV), aiming to reduce the global energy consumption. The vehicle is a Plug-in HEV, and its model had been validated on New European Driving Cycle (NEDC). A real-time model-based supervisory controller is implemented, called Equivalent Consumption Minimization Strategy (ECMS), and it is compared with the original heuristic control. Three ways to manage the energy stored in the battery along the driving mission are presented. Predictive information is then introduced to increase vehicle driveability. Conclusions summarize the benefits of such approach, showing satisfactory results also considering the driver comfort. (C) 2018 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:258 / 265
页数:8
相关论文
共 50 条
  • [1] A predictive controller for real-time energy management of plug-in hybrid electric vehicles
    Hassanzadeh, Mojtaba
    Rahmani, Zahra
    ENERGY, 2022, 249
  • [2] Catch Energy Saving Opportunity in Charge-Depletion Mode, a Real-Time Controller for Plug-In Hybrid Electric Vehicles
    Rezaei, Amir
    Burl, Jeffrey B.
    Rezaei, Mohammad
    Zhou, Bin
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 67 (11) : 11234 - 11237
  • [3] Real-time Energy Management for Plug-in Hybrid Electric Vehicle based on Economy Driving Pro System
    Guo, Jinquan
    He, Hongwen
    Peng, Jiankun
    INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS, 2019, 158 : 2689 - 2694
  • [4] Fuel cell Plug-in Hybrid Electric Vehicle anticipatory and real-time blended-mode energy management for battery life preservation
    Kelouwani, Sousso
    Agbossou, Kodjo
    Dube, Yves
    Boulon, Loic
    JOURNAL OF POWER SOURCES, 2013, 221 : 406 - 418
  • [5] Real Time implementation of an Optimal Power Management Strategy for a Plug-in Hybrid Electric Vehicle
    Pagliara, Enrico
    Parlangeli, Gianfranco
    Donateo, Teresa
    Adamo, Francesco
    2013 IEEE 52ND ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2013, : 2214 - 2219
  • [6] Real-Time Model Predictive Powertrain Control for a Connected Plug-In Hybrid Electric Vehicle
    Oncken, Joseph
    Chen, Bo
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (08) : 8420 - 8432
  • [7] An Intelligent Predictive Controller for Power and Battery Management in Plug-In Hybrid Electric Vehicles
    Hassanzadeh, Mojtaba
    Rahmani, Zahra
    JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME, 2021, 143 (11):
  • [8] A modified model-free-adaptive-control-based real-time energy management strategy for plug-in hybrid electric vehicle
    Liu, Xiaodong
    Guo, Hongqiang
    Du, Juan
    Zhao, Xuan
    ENERGY SCIENCE & ENGINEERING, 2022, 10 (10) : 4007 - 4024
  • [9] Energy management optimisation for plug-in hybrid electric sports utility vehicle with consideration to battery characteristics
    Chen, Long
    Li, Wenyao
    Xu, Xing
    Wang, Shaohua
    INTERNATIONAL JOURNAL OF ELECTRIC AND HYBRID VEHICLES, 2016, 8 (02) : 122 - 138
  • [10] A control benchmark on the energy management of a plug-in hybrid electric vehicle
    Sciarretta, A.
    Serrao, L.
    Dewangan, P. C.
    Tona, P.
    Bergshoeff, E. N. D.
    Bordons, C.
    Charmpa, L.
    Elbert, Ph.
    Eriksson, L.
    Hofman, T.
    Hubacher, M.
    Isenegger, R.
    Lacandia, F.
    Laveau, A.
    Li, H.
    Marcos, D.
    Nueesch, T.
    Onori, S.
    Pisu, P.
    Rios, J.
    Silvas, E.
    Sivertsson, M.
    Tribioli, L.
    van der Hoeven, A. -J.
    Wu, M.
    CONTROL ENGINEERING PRACTICE, 2014, 29 : 287 - 298