Influence of the temperature on energy management in battery-ultracapacitor electric vehicles

被引:28
|
作者
Demircali, Akif [1 ]
Sergeant, Peter [2 ,3 ]
Koroglu, Selim [1 ]
Kesler, Selami [1 ]
Ozturk, Erkan [4 ]
Tumbek, Mustafa [1 ]
机构
[1] Pamukkale Univ, Dept Elect Elect Engn, TR-20070 Denizli, Turkey
[2] Univ Ghent, Dept Elect Energy Syst & Automat, B-9000 Ghent, Belgium
[3] Strateg Res Ctr Mfg Ind, Flanders Make, Leuven, Belgium
[4] Pamukkale Univ, Dept Automot Engn, TR-20070 Denizli, Turkey
关键词
Battery; Electric vehicle; Energy management strategy; Temperature effect; Ultracapacitor; POWER ELECTRONICS; STORAGE-SYSTEM; MODEL; OPTIMIZATION; STRATEGIES;
D O I
10.1016/j.jclepro.2017.12.066
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Energy management strategies for an electric vehicle (EV) with multiple power sources have been widely described in literature. The investigated energy sources are batteries, ultracapacitors, fuel cells, flywheels and solar panels. The management strategy decides how to combine two or more sources in an optimal way. However, the behavior of these sources and also the behavior of the electric drives depend on their temperature. Moreover, the temperature can have extreme values in automotive applications and affect the energy management task. In this paper, to investigate the temperature effect on battery/ultracapacitor powered EV, temperature dependent models are presented for these storage components, as well as for the drive train components itself: power electronics and motor. The average motor iron loss and ultracapacitor loss tend to decrease with increasing temperature, while the average motor copper loss and power electronics loss tend to increase with increasing temperature. These two opposing trends cause the total loss of the drive train to have a rather small variation with temperature for the considered EV and in the considered temperature range. By consequence, the energy management strategy of the EV does not have to depend on the temperature in order to obtain maximal efficiency. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:716 / 725
页数:10
相关论文
共 50 条
  • [1] Globally Optimal Energy Management in a Battery-Ultracapacitor Electric Vehicle
    Zahedi, Amin
    Babaeiyazdi, Iman
    Ostadian, Reihaneh
    Rezaei-Zare, Afshin
    2022 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2022 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE), 2022,
  • [2] Energy Management Strategy Based on a New Adaptive Filtering Algorithm for Battery-Ultracapacitor Electric Vehicles
    Traore, Bakou
    Doumiati, Moustapha
    Morel, Cristina
    Olivier, Jean-Christophe
    Soumaoro, Ousmane
    PROCEEDINGS OF THE 15TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2020), 2020, : 392 - 396
  • [3] New energy management algorithm based on filtering for electrical losses minimization in Battery-Ultracapacitor electric vehicles
    Traore, Bakou
    Doumiati, Moustapha
    Morel, Cristina
    Olivier, Jean-Christophe
    Soumaoro, Ousmane
    2020 22ND EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS (EPE'20 ECCE EUROPE), 2020,
  • [4] Electric Vehicle Battery-Ultracapacitor Energy System Optimization
    Correa, Fernanda C.
    Eckert, Jony J.
    Santiciolli, Fabio M.
    Silva, Ludmila C. A.
    Costa, Eduardo S.
    Dedini, Franco Giuseppe
    2017 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2017,
  • [5] A reinforcement learning-based energy management strategy for a battery-ultracapacitor electric vehicle considering temperature effects
    Wang, Chun
    Liu, Rui
    Tang, Aihua
    Zhang, Zhigang
    Liu, Pu
    INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS, 2023, 51 (10) : 4690 - 4710
  • [6] Battery-Ultracapacitor Combination used as Energy Storage System in Electric Vehicle
    Rade, M. R.
    Dhamal, S. S.
    2015 INTERNATIONAL CONFERENCE ON EMERGING RESEARCH IN ELECTRONICS, COMPUTER SCIENCE AND TECHNOLOGY (ICERECT), 2015, : 230 - 234
  • [7] Multistage adaptive nonlinear control of battery-ultracapacitor based plugin hybrid electric vehicles
    Azeem, Muhammad Kashif
    Armghan, Hammad
    Huma, Zil E.
    Ahmad, Iftikhar
    Hassan, Mudasser
    JOURNAL OF ENERGY STORAGE, 2020, 32 (32):
  • [8] Efficiency and Performance Analysis of Battery-Ultracapacitor based Semi-active Hybrid Energy Systems for Electric Vehicles
    Asensio, M.
    Magallan, G.
    Amaya, G.
    De Angelo, C.
    IEEE LATIN AMERICA TRANSACTIONS, 2018, 16 (10) : 2581 - 2590
  • [9] Energy managment strategies of battery-ultracapacitor hybrid storage systems for electric vehicles: Review, challenges, and future trends
    Rezaei, Hossein
    Abdollahi, Seyed Ehsan
    Abdollahi, Seyedreza
    Filizadeh, Shaahin
    JOURNAL OF ENERGY STORAGE, 2022, 53
  • [10] Energy management system of the hybrid ultracapacitor-battery electric drive vehicles
    Pielecha I.
    Pielecha, Ireneusz (ireneusz.pielecha@put.poznan.pl), 1600, Warsaw University of Technology (58): : 47 - 62