State-of-charge and capacity estimation of lithium-ion battery using a new open-circuit voltage versus state-of-charge

By Seongjun Lee, Jonghoon Kim, Jaemoon Lee, Bo-Hyung Cho. 2008

692 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/85ad6b7754ee82df69d2eb49d3057f09d8612933

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. Saad Mekhilef
2. Moh Yamani Idna Idris
3. Prashant Shrivastava
4. Tey Kok Soon
5. Rui Xiong
6. Jonghoon Kim
7. Fengchun Sun
8. Jongwon Shin

In Electrical and Electronic Engineering

1. Tey Kok Soon
2. Saad Mekhilef
3. Moh Yamani Idna Idris
4. Prashant Shrivastava
5. Rui Xiong
6. Fengchun Sun
7. Hongwen He
8. Bo Li

Citations in the corpus

• The State of Charge Estimating Methods for Battery: A Review (2013, background): “[13] proposed a Table 1: Classification of SOC estimating mathematical methods.”
• A Data-Driven Auto-CNN-LSTM Prediction Model for Lithium-Ion Battery Remaining Useful Life (2021, methodology): “Model-based methods aim to establish mathematical models to represent the performance during degradation process of LIB, such as physics of failure modeling method [9], Kalman filtering method [10], and particle filtering (PF) method [11].”