A multistage-constant-current, temperature-controlled, health-conscious fast charging algorithm for lithium-ion batteries

dc.contributor.advisorWilliamson, Sheldon
dc.contributor.authorChetri, Chandan
dc.date.accessioned2024-08-27T15:36:42Z
dc.date.available2024-08-27T15:36:42Z
dc.date.issued2024-08-01
dc.degree.disciplineElectrical and Computer Engineering
dc.degree.levelMaster of Applied Science (MASc)
dc.description.abstractThe economical operation and wider adaptability of an electric vehicle (EV) is highly governed by the energy storage system used in the vehicle. To enhance user convenience and compete with their gasoline counterparts, EVs need fast charging methods to achieve equivalent refueling times. However, fast charging can adversely affect the health and cycle life of the battery due to excessive temperature rise resulting in accelerated degradation of the battery chemistry. Especially in subzero conditions, the chemical reactions are much slower, resulting in increased internal impedance. This leads to a higher rate of temperature rise in battery temperature and eventually faster battery degradation. This thesis proposes a closed-loop Multistage-constant-current, Temperature-controlled (MCC-TC), Health-conscious Fast Charging strategy, which modulates the charging current considering the battery temperature as feedback. The experimental validation on an automotive grade battery cell depicts lower temperature rise and rate of temperature rise following the MCC-TC charging algorithm compared to the conventional Constant-Current Constant-Voltage (CC-CV) charging algorithm.
dc.description.sponsorshipUniversity of Ontario Institute of Technology
dc.identifier.urihttps://hdl.handle.net/10155/1821
dc.language.isoen
dc.subject.otherElectric vehicles
dc.subject.otherFast charging
dc.subject.otherLithium-ion battery
dc.subject.otherCharging methods
dc.titleA multistage-constant-current, temperature-controlled, health-conscious fast charging algorithm for lithium-ion batteries
dc.typeThesis
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorUniversity of Ontario Institute of Technology
thesis.degree.nameMaster of Applied Science (MASc)

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