Study of Various methods on the estimation of State of Charge and State of Health for lithium ion batteries in electric vehicles
Swathi Ramesh R , Dr.M. S. Shashikala
State-of-charge, state-of-health, lithium-ion battery, fractional-order model, dual Kalman filter.
With electric vehicles (EVs) being extensively accepted as a clean technology to break carbon emigrations in ultramodern transportation, lithium-ion batteries (LIBs) have surfaced as the dominant energy storehouse medium in EVs due to their superior parcels, like high energy density, long lifetime, and low tone- discharge. Performing real- time condition monitoring of LIBs, especially directly estimating the state of charge (SOC) and state of health (SOH), is pivotal to keep the LIBs work under safe state and maximize their performance. Still, due to thenon-linear dynamics caused by the electrochemical characteristics in LIBs, the accurate estimations of SOC and SOH are still gruelling and numerous technologies have been developed to break this challenge. This paper reviews and discusses the state-of-the- art online SOC and SOH evaluation technologies published within the recent five times in view of their advantages and limitations. As SOC and SOH are explosively identified, the common estimation styles are specifically reviewed and bandied. Grounded on the disquisition, this study ultimately summarizes the crucial issues and suggests unborn work in the real- time battery operation technology. It's believed that this review will give precious support for unborn academic exploration and marketable operations.
Article Details
Unique Paper ID: 154548

Publication Volume & Issue: Volume 8, Issue 11

Page(s): 489 - 475
Article Preview & Download

Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on

Social Media

Google Verified Reviews