Performance of an automotive air conditioning system with the variation of state-of-charge of the storage battery

被引:0
|
作者
Datta, S. P. [1 ]
Das, P. K. [2 ]
机构
[1] BITS Pilani, Dept Mech Engn, Hyderabad Campus, Hyderabad 500078, Telangana, India
[2] Indian Inst Technol, Dept Mech Engn, Kharagpur 721302, W Bengal, India
来源
INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID | 2017年 / 75卷
关键词
Lead-acid battery; Automotive air conditioning system; Simscape model; Battery discharge; Battery state-of-charge; Coefficient of Performance; EXTENDED KALMAN FILTER; FLOW MALDISTRIBUTION; ELECTRIC VEHICLES; MANAGEMENT; MODEL; FIN;
D O I
10.1016/j.ijrefrig.2017.01.012
中图分类号
O414.1 [热力学];
学科分类号
摘要
In an automotive air conditioning system (AACS), the evaporator blower and the condenser fan are powered by a DC power supply containing a storage battery. The unique mutual interaction between the battery and the AACS, when the battery is isolated from the external power supply, has been investigated experimentally. As the prime movers draw power, the charge level of the battery falls and in turn the speed of the prime movers drops continuously. This deteriorates the performance of the condenser and the evaporator. Besides, a Matlab/Simulink based model has been developed to study the characteristics of the said electromechanical system during the charging and discharging cycles of the battery. Steady state performance of the system has also been studied at different battery voltage to supplement the dynamic data. The study reveals the typical deterioration of the cooling capacity and the COP of the system during the gradual derating of the supply voltage. (C) 2017 Elsevier Ltd and IIR. All rights reserved.
引用
收藏
页码:104 / 116
页数:13
相关论文
共 50 条
  • [31] State-of-charge estimation for battery management system using optimized support vector machine for regression
    Hu, J. N.
    Hu, J. J.
    Lin, H. B.
    Li, X. P.
    Jiang, C. L.
    Qiu, X. H.
    Li, W. S.
    JOURNAL OF POWER SOURCES, 2014, 269 : 682 - 693
  • [32] State-of-charge balancing strategy of battery energy storage units with a voltage balance function for a Bipolar DC mircrogrid
    Ma, Yuechao
    Wang, Shengtie
    Liu, Guangchen
    Tian, Guizhen
    Zhang, Jianwei
    Liu, Ruiming
    APPLIED ENERGY, 2024, 356
  • [33] Universal state of charge estimator for battery packs of battery energy storage systems
    Sepasi, Saeed
    Roose, Leon R.
    Matsuura, Marc
    Jou, Hsun
    IECON 2015 - 41ST ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2015, : 5339 - 5344
  • [34] Battery State-of-Charge and Parameter Estimation Algorithm Based on Kalman Filter
    Dragicevic, Tomislav
    Sucic, Stjepan
    Guerrero, Josep M.
    2013 IEEE EUROCON, 2013, : 1513 - 1518
  • [35] Environment-Aware Estimation of Battery State-of-Charge for Mobile Devices
    He, Liang
    Lee, Youngmoon
    Kim, Eugene
    Shin, Kang G.
    ICCPS '19: PROCEEDINGS OF THE 2019 10TH ACM/IEEE INTERNATIONAL CONFERENCE ON CYBER-PHYSICAL SYSTEMS, 2019, : 227 - 236
  • [36] Estimation of battery state-of-charge using ν-support vector regression algorithm
    Q. -S. Shi
    C. -H. Zhang
    N. -X. Cui
    International Journal of Automotive Technology, 2008, 9 : 759 - 764
  • [37] State-of-Charge Estimation of Batteries for Hybrid Urban Air Mobility
    Yoo, Min Young
    Lee, Jung Heon
    Choi, Joo-Ho
    Huh, Jae Sung
    Sung, Woosuk
    AEROSPACE, 2023, 10 (06)
  • [38] Lithium-Sulfur Battery State-of-Charge Observability Analysis and Estimation
    Fotouhi, Abbas
    Auger, Daniel J.
    Propp, Karsten
    Longo, Stefano
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2018, 33 (07) : 5847 - 5859
  • [39] Disturbance observer-based state-of-charge estimation for Li-ion battery used in light electric vehicles
    Messier, Pascal
    Bao-Huy Nguyen
    LeBel, Felix-A
    Trovao, Joao Pedro F.
    JOURNAL OF ENERGY STORAGE, 2020, 27 (27):
  • [40] Two-layer online state-of-charge estimation of lithium-ion battery with current sensor bias correction
    He, Jiangtao
    Feng, Daiwei
    Hu, Chuan
    Wei, Zhongbao
    Yan, Fengjun
    INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2019, 43 (08) : 3837 - 3852