Model-based estimation of state of charge and state of power of a lithium ion battery pack and their effects on energy management in hybrid electric vehicles

Mitra, Desham; Ghosh, Susenjit; Mukhopadhyay, Siddhartha

doi:10.1007/s40435-023-01329-9

Int. J. Dynam. Control

2023

DOI: 10.1007/s40435-023-01329-9

|View full text |Cite

Model-based estimation of state of charge and state of power of a lithium ion battery pack and their effects on energy management in hybrid electric vehicles

Desham Mitra,

Susenjit Ghosh,

Siddhartha Mukhopadhyay

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

A Review of Parameter Identification and State of Power Estimation Methods for Lithium-Ion Batteries

Ma,

Wu,

Wang

et al. 2024

Processes

View full text Add to dashboard Cite

Lithium-ion batteries are widely applied in the form of new energy electric vehicles and large-scale battery energy storage systems to improve the cleanliness and greenness of energy supply systems. Accurately estimating the state of power (SOP) of lithium-ion batteries ensures long-term, efficient, safe and reliable battery operation. Considering the influence of the parameter identification accuracy on the results of state of power estimation, this paper presents a systematic review of model parameter identification and state of power estimation methods for lithium-ion batteries. The parameter identification methods include the voltage response curve analysis method, the least squares method and so on. On this basis, the methods used for modeling and estimating the SOP of battery cells and battery packs are classified and elaborated, focusing on summarizing the research progress observed regarding the joint estimation method for multiple states of battery cells. In conclusion, future methods for estimating the SOP of lithium-ion batteries and their improvement targets are envisioned based on the application requirements for the safe management of lithium-ion batteries.

show abstract

A Review of Parameter Identification and State of Power Estimation Methods for Lithium-Ion Batteries

Ma,

Wu,

Wang

et al. 2024

Processes

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Model-based estimation of state of charge and state of power of a lithium ion battery pack and their effects on energy management in hybrid electric vehicles

Cited by 1 publication

References 39 publications

A Review of Parameter Identification and State of Power Estimation Methods for Lithium-Ion Batteries

A Review of Parameter Identification and State of Power Estimation Methods for Lithium-Ion Batteries

Contact Info

Product

Resources

About