Real-time estimation of battery internal temperature based on a simplified thermoelectric model

被引:117
|
作者
Zhang, Cheng [1 ]
Li, Kang [1 ]
Deng, Jing [1 ]
机构
[1] Queens Univ Belfast, Sch Elect Elect Engn & Comp Sci, Belfast B79 5AH, Antrim, North Ireland
基金
英国工程与自然科学研究理事会;
关键词
LiFePO4/C battery; Internal temperature estimation; Simplified thermoelectric model; Extended Kalman filter; LITHIUM-ION BATTERY; CHARGE ESTIMATION; STATE; MANAGEMENT; ISSUES; PACKS;
D O I
10.1016/j.jpowsour.2015.10.052
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Li-ion batteries have been widely used in the EVs, and the battery thermal management is a key but challenging part of the battery management system. For EV batteries, only the battery surface temperature can be measured in real-time. However, it is the battery internal temperature that directly affects the battery performance, and large temperature difference may exist between surface and internal temperatures, especially in high power demand applications. In this paper, an online battery internal temperature estimation method is proposed based on a novel simplified thermoelectric model. The battery thermal behaviour is first described by a simplified thermal model, and battery electrical behaviour by an electric model. Then, these two models are interrelated to capture the interactions between battery thermal and electrical behaviours, thus offer a comprehensive description of the battery behaviour that is useful for battery management. Finally, based on the developed model, the battery internal temperature is estimated using an,extended Kalman filter. The experimental results confirm the efficacy of the proposed method, and it can be used for online internal temperature estimation which is a key indicator for better real-time battery thermal management. Crown Copyright (C) 2015 Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:146 / 154
页数:9
相关论文
共 50 条
  • [1] Lithium Battery Internal Temperature Estimation Based on Simplified Variable Parameter Thermal Model
    Liu X.
    Zhang S.
    He Y.
    Zheng X.
    Liu X.
    Wang S.
    Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2019, 47 (04): : 44 - 52
  • [2] A framework for battery internal temperature and state-of-charge estimation based on fractional-order thermoelectric model
    Wang, Yujie
    Zhou, Caijie
    Zhao, Guanghui
    Chen, Zonghai
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2022,
  • [3] REAL-TIME BATTERY MODEL PARAMETER ESTIMATION WITH IMPROVED OBSERVABILITY AND ROBUSTNESS
    Lee, Tae-Kyung
    Anderson, Dyche
    7TH ANNUAL DYNAMIC SYSTEMS AND CONTROL CONFERENCE, 2014, VOL 2, 2014,
  • [4] Real-time Electric Vehicle Range Estimation Based on a Lithium-Ion Battery Model
    Barcellona, S.
    De Simone, D.
    Grillo, S.
    7TH INTERNATIONAL CONFERENCE ON CLEAN ELECTRICAL POWER (ICCEP 2019): RENEWABLE ENERGY RESOURCES IMPACT, 2019, : 351 - 357
  • [5] Application of a simplified thermal network model for real-time thermal load estimation
    Ogunsola, Oluwaseyi T.
    Song, Li
    ENERGY AND BUILDINGS, 2015, 96 : 309 - 318
  • [6] State of Charge Estimation Based on a Real-time Battery Model and Iterative Smooth Variable Structure Filter
    Kim, Taesic
    Wang, Yebin
    Sahinoglu, Zafer
    Wada, Toshihiro
    Hara, Satoshi
    Qiao, Wei
    2014 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT ASIA), 2014, : 132 - 137
  • [7] An effective online delay estimation method based on a simplified physical system model for real-time hybrid simulation
    Wang, Zhen
    Wu, Bin
    Bursi, Oreste S.
    Xu, Guoshan
    Ding, Yong
    SMART STRUCTURES AND SYSTEMS, 2014, 14 (06) : 1247 - 1267
  • [8] Real-Time Vehicle Inertial Parameters Estimation Based on a Simplified Half-Car Vertical Vibration Model
    Nguyen Tuan-Anh
    Nguyen Cong Tuan
    ADVANCES IN ENGINEERING RESEARCH AND APPLICATION, 2019, 63 : 521 - 531
  • [9] Real-time State of Charge Estimation of Electrochemical Model for Lithium-ion Battery
    Fan, Chuanxin
    Higgins, Matthew D.
    Widanage, Widanalage D.
    2019 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2019,
  • [10] Real-Time Estimation of Battery State of Charge With Metabolic Grey Model and LabVIEW Platform
    Zheng, Dong
    Wang, Huimin
    An, Jingjing
    Chen, Jing
    Pan, Haihong
    Chen, Lin
    IEEE ACCESS, 2018, 6 : 13170 - 13180