Battery Management Systems—Challenges and Some Solutions
Electric vehicles are set to be the dominant form of transportation in the near future and Lithium-based rechargeable battery packs have been widely adopted in them. Battery packs need to be constantly monitored and managed in order to maintain the safety, efficiency and reliability of the overall e...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-06-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/13/11/2825 |
_version_ | 1797566293436530688 |
---|---|
author | Balakumar Balasingam Mostafa Ahmed Krishna Pattipati |
author_facet | Balakumar Balasingam Mostafa Ahmed Krishna Pattipati |
author_sort | Balakumar Balasingam |
collection | DOAJ |
description | Electric vehicles are set to be the dominant form of transportation in the near future and Lithium-based rechargeable battery packs have been widely adopted in them. Battery packs need to be constantly monitored and managed in order to maintain the safety, efficiency and reliability of the overall electric vehicle system. A battery management system consists of a battery fuel gauge, optimal charging algorithm, and cell/thermal balancing circuitry. It uses three non-invasive measurements from the battery, voltage, current and temperature, in order to estimate crucial states and parameters of the battery system, such as battery impedance, battery capacity, state of charge, state of health, power fade, and remaining useful life. These estimates are important for the proper functioning of optimal charging algorithms, charge and thermal balancing strategies, and battery safety mechanisms. Approach to robust battery management consists of accurate characterization, robust estimation of battery states and parameters, and optimal battery control strategies. This paper describes some recent approaches developed by the authors towards developing a robust battery management system. |
first_indexed | 2024-03-10T19:24:41Z |
format | Article |
id | doaj.art-59a6e9fe51a24ab593ff5b96cbfab6f8 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T19:24:41Z |
publishDate | 2020-06-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-59a6e9fe51a24ab593ff5b96cbfab6f82023-11-20T02:37:33ZengMDPI AGEnergies1996-10732020-06-011311282510.3390/en13112825Battery Management Systems—Challenges and Some SolutionsBalakumar Balasingam0Mostafa Ahmed1Krishna Pattipati2Department of Electrical and Computer Engineering, University of Windsor, 401 Sunset Ave., Office#3051, Windsor, ON N9B3P4, CanadaDepartment of Electrical and Computer Engineering, University of Windsor, 401 Sunset Ave., Office#3051, Windsor, ON N9B3P4, CanadaDepartment of Electrical and Computer Engineering, University of Connecticut, 371 Fairfield Rd, Office#350, Storrs, CT 06269, USAElectric vehicles are set to be the dominant form of transportation in the near future and Lithium-based rechargeable battery packs have been widely adopted in them. Battery packs need to be constantly monitored and managed in order to maintain the safety, efficiency and reliability of the overall electric vehicle system. A battery management system consists of a battery fuel gauge, optimal charging algorithm, and cell/thermal balancing circuitry. It uses three non-invasive measurements from the battery, voltage, current and temperature, in order to estimate crucial states and parameters of the battery system, such as battery impedance, battery capacity, state of charge, state of health, power fade, and remaining useful life. These estimates are important for the proper functioning of optimal charging algorithms, charge and thermal balancing strategies, and battery safety mechanisms. Approach to robust battery management consists of accurate characterization, robust estimation of battery states and parameters, and optimal battery control strategies. This paper describes some recent approaches developed by the authors towards developing a robust battery management system.https://www.mdpi.com/1996-1073/13/11/2825battery management systemsbattery fuel gaugestate of chargestate of healthpower fadecapacity fade |
spellingShingle | Balakumar Balasingam Mostafa Ahmed Krishna Pattipati Battery Management Systems—Challenges and Some Solutions Energies battery management systems battery fuel gauge state of charge state of health power fade capacity fade |
title | Battery Management Systems—Challenges and Some Solutions |
title_full | Battery Management Systems—Challenges and Some Solutions |
title_fullStr | Battery Management Systems—Challenges and Some Solutions |
title_full_unstemmed | Battery Management Systems—Challenges and Some Solutions |
title_short | Battery Management Systems—Challenges and Some Solutions |
title_sort | battery management systems challenges and some solutions |
topic | battery management systems battery fuel gauge state of charge state of health power fade capacity fade |
url | https://www.mdpi.com/1996-1073/13/11/2825 |
work_keys_str_mv | AT balakumarbalasingam batterymanagementsystemschallengesandsomesolutions AT mostafaahmed batterymanagementsystemschallengesandsomesolutions AT krishnapattipati batterymanagementsystemschallengesandsomesolutions |