Thermal management with fast temperature convergence based on optimized fuzzy PID algorithm for electric vehicle battery

被引：19
|
作者：
Liu, Zhangmiaoge [1 ]
Liu, Zhouxiao [1 ]
Liu, Jianzhao [1 ]
Wang, Ning [1 ]
机构：
[1] Univ Shanghai Sci & Technol, Engn Res Ctr Opt Instrument & Syst, Shanghai Key Lab Modern Opt Syst, Minist Educ, Jungong Rd 580, Shanghai 200093, Peoples R China
来源：
APPLIED ENERGY | 2023年 / 352卷
基金：
上海市自然科学基金;
关键词：
Electric vehicle battery; Fuzzy PID algorithm; Thermal management; NEURAL-NETWORK; PACKS; DIAGNOSIS; CHIP;
D O I：
10.1016/j.apenergy.2023.121936
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this study, we propose an optimized fuzzy proportional-integral-differential (Fuzzy PID) algorithm used in a rapid temperature control system for automotive batteries. Based on the proposed algorithm, an intelligent thermal management system with temperature feedback mechanism is built by switchable thermoelectric (TE) devices in working mode, simultaneously offering both heating and cooling capabilities. Assisted by liquid cooling optimization, the battery pack temperature is rapidly converged by the regulation of TE devices. Experimental results demonstrate that the temperature of a thermal runaway battery pack can be lowered from 63.5 degrees C to 25 degrees C in just 280 s, while the temperature of a frozen battery pack can be raised from-10 degrees C to 25 degrees C within 185 s. Compared to multi-channel liquid cooling method, our temperature control time is reduced by approximately 76%. The innovative structure and optimized temperature control algorithm can obviously enhance the efficiency of the battery temperature control system in new energy electric vehicle field.
引用
收藏
页数：10
相关论文
共 50 条
  • [21] Research on Electric Vehicle Heat Pump Air Conditioning Control System Based on Fuzzy PID Algorithm
    Yang Xu
    Mo Jia
    Shang Chen
    2019 CHINESE AUTOMATION CONGRESS (CAC2019), 2019, : 1155 - 1159
  • [22] Electric Vehicle Battery Thermal and Cabin Climate Management Based on Model Predictive Control
    Liu, Yuanzhi
    Zhang, Jie
    JOURNAL OF MECHANICAL DESIGN, 2021, 143 (03)
  • [23] Research on control strategy of electric vehicle battery thermal management system based on MPC
    Wei, Wang
    Shuhai, Zhao
    Jijie, Deng
    FERROELECTRICS, 2024, 618 (11-12) : 1907 - 1916
  • [24] Modeling Approach of an Air-Based Battery Thermal Management System for an Electric Vehicle
    Buidin, Thomas Imre Cyrille
    Mariasiu, Florin
    APPLIED SCIENCES-BASEL, 2021, 11 (15):
  • [25] Battery Management System of Electric Vehicle Based on CAN
    Xia Jingjing
    Wang Guanghai
    2015 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA AND SMART CITY (ICITBS), 2016, : 181 - 183
  • [26] Electric vehicle battery management system based on DSP
    State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan Univ., Changsha 410082, China
    不详
    Hunan Daxue Xuebao, 2009, 5 (33-36):
  • [27] COOLING AIR TEMPERATURE AND MASS FLOW RATE CONTROL FOR HYBRID ELECTRIC VEHICLE BATTERY THERMAL MANAGEMENT
    Tao, Xinran
    Wagner, John
    7TH ANNUAL DYNAMIC SYSTEMS AND CONTROL CONFERENCE, 2014, VOL 2, 2014,
  • [28] Research on Temperature Control System Based on IPSO Optimized Fuzzy PID
    Gao Long
    Yang Yi
    Ren Xiaolin
    Gu Haiqin
    Han Qingqing
    Yu Jingya
    PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE, 2020, : 2014 - 2019
  • [29] Research on 4WIS Electric Vehicle Path Tracking Control Based on Adaptive Fuzzy PID Algorithm
    Chen, Xinbo
    Bao, Qilin
    Zhang, Bang
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 6753 - 6760
  • [30] Novel hybrid polymer composites for optimized thermal performance in electric vehicle battery cases
    Cebe, Emrullah
    Irez, Alaeddin Burak
    POLYMER COMPOSITES, 2024,
12345