A Lithium-Ion Battery Fast Charging Algorithm Based on Electrochemical Model: Experimental Results

dc.contributor.author Anwar, Sohel
dc.contributor.author Pramanik, Sourav
dc.contributor.author Amini, Ali
dc.date.accessioned 2025-03-05T20:47:05Z
dc.date.available 2025-03-05T20:47:05Z
dc.date.issued 2024
dc.description.abstract Lithium-Ion batteries have become the principal battery technology for EVs to date. However, one of the principal factors limiting the widespread usage of the EVs is the length of charging times for the lithium-ion battery packs. The appropriate charging algorithm is critical to shorten the battery charging times while keeping the battery safe. In our earlier work, we proposed a novel optimal strategy for charging the lithium-ion battery based on electrochemical battery model using A performance index that aimed at achieving a faster charging rate while maintaining safe limits for various battery parameters. A more realistic model, based on battery electro-chemistry has been used for the design of the optimal charging algorithm as opposed to the conventional equivalent circuit models. Simulation results showed that the proposed optimal charging algorithm is capable of shortening the charging time of a lithium-ion cell by as much as 30% when compared with the standard constant current charging. Here we present the results from a number of experiments using Lithium-Ion cylindrical cells that were charged using the proposed algorithm and compared the charging times with the standard constant current-constant voltage (CC-CV) charging algorithms. A Maccor Series 4300 battery testing system was used to carry out the experiments. The experimental results showed that the proposed algorithm offered shorter charging times by up to 16% when compared to the CC-CV charging algorithms under the same battery initial conditions such as SOC and temperature of the cells. en_US
dc.identifier.doi 10.1115/IMECE2024-145181
dc.identifier.isbn 9780791888636
dc.identifier.scopus 2-s2.0-85217226140
dc.identifier.uri https://doi.org/10.1115/IMECE2024-145181
dc.identifier.uri https://hdl.handle.net/20.500.14411/10479
dc.language.iso en en_US
dc.publisher Amer Soc Mechanical Engineers en_US
dc.relation.ispartof 2024 International Mechanical Engineering Congress and Exposition-IMECE -- NOV 17-21, 2024 -- Portland, OR en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Li-Ion Battery en_US
dc.subject Electro-Chemical Model en_US
dc.subject Optimization en_US
dc.subject Fast Charging en_US
dc.subject Electric Vehicles en_US
dc.title A Lithium-Ion Battery Fast Charging Algorithm Based on Electrochemical Model: Experimental Results en_US
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.scopusid 8690470300
gdc.author.scopusid 57150411200
gdc.author.scopusid 57195520098
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
gdc.coar.access metadata only access
gdc.coar.type text::conference output
gdc.collaboration.industrial false
gdc.description.department Atılım University en_US
gdc.description.departmenttemp [Anwar, Sohel] Purdue Univ, Dept Mech Engn, W Lafayette, IN 47907 USA; [Pramanik, Sourav] Zoox Inc, Foster City, CA USA; [Amini, Ali] Atilim Univ, Dept Automot Engn, Ankara, Turkiye en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.woscitationindex Conference Proceedings Citation Index - Science
gdc.description.wosquality N/A
gdc.identifier.openalex W4406736408
gdc.identifier.wos WOS:001505379300009
gdc.oaire.diamondjournal false
gdc.oaire.impulse 0.0
gdc.oaire.influence 2.5349236E-9
gdc.oaire.isgreen false
gdc.oaire.popularity 2.4744335E-9
gdc.oaire.publicfunded false
gdc.openalex.collaboration International
gdc.openalex.fwci 0.0
gdc.openalex.normalizedpercentile 0.56
gdc.opencitations.count 0
gdc.plumx.mendeley 2
gdc.plumx.scopuscites 0
gdc.scopus.citedcount 0
gdc.wos.citedcount 0
relation.isOrgUnitOfPublication 50be38c5-40c4-4d5f-b8e6-463e9514c6dd
relation.isOrgUnitOfPublication.latestForDiscovery 50be38c5-40c4-4d5f-b8e6-463e9514c6dd

Files

Collections