A new model for State-of-Charge (SOC) estimation for high-power Li-ion batteries

By Yao He, Xingtao Liu, Chenbin Zhang, Zonghai Chen. 2013

277 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/fb9374594b18481bafe72d7a0b8cbe7f08978d9f

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. Kwok Leung Tsui
2. Yinjiao Xing
3. S. Y. S. Ng
4. Kailong Liu
5. Z. Ye
6. Yong Guan
7. Lifeng Wu
8. Xiaohui Fu

In Control and Systems Engineering

1. Kwok Leung Tsui
2. Yinjiao Xing
3. S. Y. S. Ng

In Electrical and Electronic Engineering

1. Kwok Leung Tsui
2. Yinjiao Xing

Citations in the corpus

• A naive Bayes model for robust remaining useful life prediction of lithium-ion battery (2014, methodology): “[4] proposed a SoH and RUL estimation method using Dempster–Shafer theory and Bayesian update with Monte Carlo approach.”