Work

State of charge estimation for LiMn2O4 power battery based on strong tracking sigma point Kalman filter

Year: 2015

Type: article

Source: Journal of Power Sources

DOI: 10.1016/j.jpowsour.2015.01.002

Authors: Di Li, Jian Ouyang, Huiqi Li, Jiafu Wan

Institution: South China University of Technology

Language: English

Topic: Battery Modeling and Management

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W2016111653

FWCI: 19.7

Cites: 48

Cited by: 101

Related to: 10