Work

Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models

Year: 2011

Type: article

Abstract: Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models, Ramadesigan, Venkatasailanathan, Chen, Kejia, Burns, Nancy A., Boovaragavan, Vijayasekaran, Braatz, Richard D., Subramanian, Venkat R.

Source: Journal of The Electrochemical Society

DOI: 10.1149/1.3609926

Authors: Venkatasailanathan Ramadesigan, Kejia Chen, Nancy A. Burns, Vijayasekaran Boovaragavan, Richard D. Braatz, Venkat R. Subramanian

Institutions: Washington University in St. Louis, University of Illinois Urbana-Champaign, University of Illinois System, North Carolina State University, Procter & Gamble (United States), Massachusetts Institute of Technology

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: bronze

Funders: National Science Foundation, Washington University in St. Louis, Division of Chemical, Bioengineering, Environmental, and Transport Systems

Awards: Collaborative Research: Model Reformulation for Lithium-ion Batteries -- Parameter Estimation and Dynamic Optimization, Collaborative Research: Model Reformulation for Lithium-ion Batteries - Parameter Estimation and Dynamic Optimization, Collaborative Research: Model Reformulation for Lithium-ion Batteries -- Parameter Estimation and Dynamic Optimization

OpenAlex ID: W1550765409

FWCI: 16.4

Cites: 24

Cited by: 216

Related to: 10