A comparative study of different equivalent circuit models for estimating state-of-charge of lithium-ion batteries

By X. Lai, Yuejiu Zheng, T. Sun. 2018

420 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/d181ba027cbf16ab4337f951b8177a16e27abd04

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. Moh Yamani Idna Idris
2. Saad Mekhilef
3. Prashant Shrivastava
4. Tey Kok Soon

In Electrical and Electronic Engineering

1. Moh Yamani Idna Idris
2. Saad Mekhilef
3. Prashant Shrivastava
4. Tey Kok Soon
5. Yousef A. Mahmoud
6. Ehab F. El-Saadany
7. Mohamed A. Abdelwahed
8. Zengshi Chen

Citations in the corpus

• Improved SOC estimation of lithium-ion batteries with novel SOC-OCV curve estimation method using equivalent circuit model (2019, background): “Many studies have been made on the models of lithiumion batteries that reflect the characteristics of the battery [4], mainly lies in equivalent circuit models (ECM) [5] [6], electrochemical models [7] [8], and the impedance model [9].”
• Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries (2019, methodology): “On the basis of control theory, battery models can be classified as black model, white model and gray model [107].”