A technique for dynamic battery model identification in automotive applications using linear parameter varying structures

By Y. Hu, S. Yurkovich, Y. Guezennec, B. Yurkovich. 2009

195 citations recorded by the source corpus.

Subfields: Automotive Engineering, Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/79afb282e2948d458572c11c7575bad02ef58efc

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

1. Chunting Chris Mi
2. Yuhong Fu
3. Zheng Chen
4. Chinemerem Christopher Ibe-Ekeocha
5. Hicham Chaoui
6. Fei Lu
7. Hua Zhang

In Control and Systems Engineering

1. Chunting Chris Mi
2. Yuhong Fu
3. Zheng Chen

In Electrical and Electronic Engineering

1. Chunting Chris Mi
2. Yuhong Fu
3. Zheng Chen
4. Fei Lu
5. Hua Zhang
6. Chinemerem Christopher Ibe-Ekeocha
7. Hicham Chaoui

Citations in the corpus

• State of Charge Estimation of Lithium-Ion Batteries in Electric Drive Vehicles Using Extended Kalman Filtering (2013, background): “In [7], a nonlinear model for the lithium battery was built.”
• A survey of mathematics-based equivalent-circuit and electrochemical battery models for hybrid and electric vehicle simulation (2014, unknown): “The circuit component values can be found using pulse discharge analysis [24, 27, 31, 33, 45, 46], or parameter identification techniques [29, 30, 36].”