LAPSE:2023.14196
Published Article
LAPSE:2023.14196
An Analytic Hierarchy Process for Selecting Battery Equalization Methods
Bruno Martin de Alcântara Dias, Cynthia Thamires da Silva, Rui Esteves Araújo, Ricardo de Castro, Eduardo Lorenzetti Pellini, Cláudio Pinto, Armando Antônio Maria Laganá
March 1, 2023
Abstract
Batteries have been the predominant energy storage system used in electric vehicles. Battery packs have a large number of cells that develop charge, thermal, and capacity imbalances over time, limiting the power, range, and lifetime. Electronic battery management and state of charge (SoC) equalization methods are necessary to mitigate such imbalances. Today, it is possible to find a wide range of battery equalization methods in the literature, but how to decide which of these methods should be applied in practice? This paper compares 24 SoC equalization circuits that are typically found in automotive applications. We employ an analytic hierarchy process (AHP) approach to rank these equalization circuits according to multiple decision criteria (energy efficiency, equalization speed, implementation and control simplicity, hardware size, and total price). We also prepared a survey to collect design preferences from multiple battery balancing experts from around the world in order to better understand the relative importance of different criteria. The obtained results confirm that automotive engineers continue to favor passive balancing methods because of their low price, small PCB size, and implementation simplicity—despite the energy efficiency benefits of active balancing.
Keywords
AHP, analytic hierarchy process, balancing system, battery, battery management system, BMS, costs analysis for practical application, electric vehicle, EMS, energy management system, plug-in hybrid electric vehicle, state of charge equalization
Suggested Citation
de Alcântara Dias BM, da Silva CT, Araújo RE, de Castro R, Pellini EL, Pinto C, Laganá AAM. An Analytic Hierarchy Process for Selecting Battery Equalization Methods. (2023). LAPSE:2023.14196
Author Affiliations
de Alcântara Dias BM: PEA—Polytechnic School (POLI-USP), São Paulo 05508-010, Brazil [ORCID]
da Silva CT: PEA—Polytechnic School (POLI-USP), São Paulo 05508-010, Brazil [ORCID]
Araújo RE: INESC TEC and Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal [ORCID]
de Castro R: Department of Mechanical Engineering, University of California, Merced, CA 95343, USA
Pellini EL: PEA—Polytechnic School (POLI-USP), São Paulo 05508-010, Brazil [ORCID]
Pinto C: Continental Engineering Services Portugal, Unipessoal Lda, 4200-162 Porto, Portugal
Laganá AAM: PEA—Polytechnic School (POLI-USP), São Paulo 05508-010, Brazil
Journal Name
Energies
Volume
15
Issue
7
First Page
2439
Year
2022
Publication Date
2022-03-26
ISSN
1996-1073
Version Comments
Original Submission
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PII: en15072439, Publication Type: Journal Article
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LAPSE:2023.14196
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https://doi.org/10.3390/en15072439
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