A robust state-of-charge estimator for multiple types of lithium-ion batteries using adaptive extended Kalman filter
By Rui Xiong, Xianzhi Gong, Chunting Chris Mi, Fengchun Sun. 2013
196 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/3067f8c770be8c5acf2325d6d354e5706a11ed98
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- Rui Xiong
- Fengchun Sun
- Hongwen He
- Chunting Chris Mi
- Xianzhi Gong
- Quanqing Yu
- Jiayi Cao
- Saad Mekhilef
In Electrical and Electronic Engineering
- Rui Xiong
- Fengchun Sun
- Hongwen He
- Chunting Chris Mi
- Quanqing Yu
- Jiayi Cao
- Tey Kok Soon
- Saad Mekhilef
Citations in the corpus
- Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles (2018, background): “OCV curves and SoC variation per mV OCV: (a) OCV maps; (b) SoC variation per mV OCV; (c) OCV map; (d) SoC variation per mV voltage [64].”
- Study of the characteristics of battery packs in electric vehicles with parallel-connected lithium-ion battery cells (2014, background): “A variety of researches have been conducted to provide the accurate model-based management for LiB cells [2] and battery packs with series-connected cells [3].”