Wireless Smart Battery Management System for Electric Vehicles

Xinrong Huang; Anirudh Budnar Acharya; Jinhao Meng; Xin Sui; Daniel-Ioan Stroe; Remus Teodorescu

doi:10.1109/ECCE44975.2020.9236279

Wireless Smart Battery Management System for Electric Vehicles

Xinrong Huang, Anirudh Budnar Acharya, Jinhao Meng, Xin Sui, Daniel-Ioan Stroe, Remus Teodorescu

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

34 Citations (Scopus)

478 Downloads (Pure)

Abstract

This paper utilizes a Wireless Smart Battery Management System (WSBMS) to manage battery cells in Electric Vehicles (EVs). WSBMS is the cell-level Battery Management System (BMS) based on wireless communication. Compared with the conventional modularized BMS, the proposed system has the advantages of high fault tolerance and sufficient scalability. In addition, the proposed balancing algorithm based on the state-of-health (SOH) and the state-of-charge (SOC) can balance battery cells with any number, different aging states, and reasonable capacity deviation. A prototype is built, and the balancing algorithm is verified by simulation and experimental results considering four cases with different states of battery cells.

Original language	English
Title of host publication	2020 IEEE Energy Conversion Congress and Exposition (ECCE)
Number of pages	7
Publisher	IEEE (Institute of Electrical and Electronics Engineers)
Publication date	30 Oct 2020
Pages	5620-5625
ISBN (Print)	978-1-7281-5827-3
ISBN (Electronic)	978-1-7281-5826-6
DOIs	https://doi.org/10.1109/ECCE44975.2020.9236279
Publication status	Published - 30 Oct 2020
Event	2020 IEEE Energy Conversion Congress and Exposition (ECCE 2020) - Detroit, United States Duration: 11 Oct 2020 → 15 Oct 2020 https://www.ieee-ecce.org/2020/

Conference

Conference	2020 IEEE Energy Conversion Congress and Exposition (ECCE 2020)
Country/Territory	United States
City	Detroit
Period	11/10/2020 → 15/10/2020
Internet address	https://www.ieee-ecce.org/2020/

Series	IEEE Energy Conversion Congress and Exposition
ISSN	2329-3721

Access to Document

10.1109/ECCE44975.2020.9236279

Wireless Smart Battery Management System for Electric VehiclesAccepted author manuscript, 2.03 MB

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34 Citations
1 PhD thesis

The Effects of Pulsed Charging Current on the Performance and Lifetime of Lithium-Ion Batteries
Huang, X., 2021, Aalborg Universitetsforlag. 77 p.
Research output: PhD thesis

Open Access
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719 Downloads (Pure)

Cite this

@inproceedings{9a798f1070114d799cd03ec6f6a24af0,

title = "Wireless Smart Battery Management System for Electric Vehicles",

abstract = "This paper utilizes a Wireless Smart Battery Management System (WSBMS) to manage battery cells in Electric Vehicles (EVs). WSBMS is the cell-level Battery Management System (BMS) based on wireless communication. Compared with the conventional modularized BMS, the proposed system has the advantages of high fault tolerance and sufficient scalability. In addition, the proposed balancing algorithm based on the state-of-health (SOH) and the state-of-charge (SOC) can balance battery cells with any number, different aging states, and reasonable capacity deviation. A prototype is built, and the balancing algorithm is verified by simulation and experimental results considering four cases with different states of battery cells. ",

author = "Xinrong Huang and Acharya, {Anirudh Budnar} and Jinhao Meng and Xin Sui and Daniel-Ioan Stroe and Remus Teodorescu",

year = "2020",

month = oct,

day = "30",

doi = "10.1109/ECCE44975.2020.9236279",

language = "English",

isbn = "978-1-7281-5827-3",

series = "IEEE Energy Conversion Congress and Exposition",

pages = "5620--5625",

booktitle = "2020 IEEE Energy Conversion Congress and Exposition (ECCE)",

publisher = "IEEE (Institute of Electrical and Electronics Engineers)",

address = "United States",

note = "2020 IEEE Energy Conversion Congress and Exposition (ECCE 2020), ECCE 2020 ; Conference date: 11-10-2020 Through 15-10-2020",

url = "https://www.ieee-ecce.org/2020/",

}

Huang, X, Acharya, AB, Meng, J, Sui, X , Stroe, D-I & Teodorescu, R 2020, Wireless Smart Battery Management System for Electric Vehicles. in 2020 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE (Institute of Electrical and Electronics Engineers), IEEE Energy Conversion Congress and Exposition, pp. 5620-5625, 2020 IEEE Energy Conversion Congress and Exposition (ECCE 2020), Detroit, Michigan, United States, 11/10/2020. https://doi.org/10.1109/ECCE44975.2020.9236279

Wireless Smart Battery Management System for Electric Vehicles. / Huang, Xinrong; Acharya, Anirudh Budnar; Meng, Jinhao et al.
2020 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE (Institute of Electrical and Electronics Engineers), 2020. p. 5620-5625 (IEEE Energy Conversion Congress and Exposition).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Wireless Smart Battery Management System for Electric Vehicles

AU - Huang, Xinrong

AU - Acharya, Anirudh Budnar

AU - Meng, Jinhao

AU - Sui, Xin

AU - Stroe, Daniel-Ioan

AU - Teodorescu, Remus

PY - 2020/10/30

Y1 - 2020/10/30

N2 - This paper utilizes a Wireless Smart Battery Management System (WSBMS) to manage battery cells in Electric Vehicles (EVs). WSBMS is the cell-level Battery Management System (BMS) based on wireless communication. Compared with the conventional modularized BMS, the proposed system has the advantages of high fault tolerance and sufficient scalability. In addition, the proposed balancing algorithm based on the state-of-health (SOH) and the state-of-charge (SOC) can balance battery cells with any number, different aging states, and reasonable capacity deviation. A prototype is built, and the balancing algorithm is verified by simulation and experimental results considering four cases with different states of battery cells.

AB - This paper utilizes a Wireless Smart Battery Management System (WSBMS) to manage battery cells in Electric Vehicles (EVs). WSBMS is the cell-level Battery Management System (BMS) based on wireless communication. Compared with the conventional modularized BMS, the proposed system has the advantages of high fault tolerance and sufficient scalability. In addition, the proposed balancing algorithm based on the state-of-health (SOH) and the state-of-charge (SOC) can balance battery cells with any number, different aging states, and reasonable capacity deviation. A prototype is built, and the balancing algorithm is verified by simulation and experimental results considering four cases with different states of battery cells.

U2 - 10.1109/ECCE44975.2020.9236279

DO - 10.1109/ECCE44975.2020.9236279

M3 - Article in proceeding

SN - 978-1-7281-5827-3

T3 - IEEE Energy Conversion Congress and Exposition

SP - 5620

EP - 5625

BT - 2020 IEEE Energy Conversion Congress and Exposition (ECCE)

PB - IEEE (Institute of Electrical and Electronics Engineers)

T2 - 2020 IEEE Energy Conversion Congress and Exposition (ECCE 2020)

Y2 - 11 October 2020 through 15 October 2020

ER -

Wireless Smart Battery Management System for Electric Vehicles

Abstract

Conference

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Research output

The Effects of Pulsed Charging Current on the Performance and Lifetime of Lithium-Ion Batteries

Cite this