An overview of generic battery models

By A. Hussein, Issa Batarseh. IEEE Power & Energy Society General Meeting, 2011

138 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/caebcf3aadbc475f550ecaf42ea2ad14407c2c12

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. Remus Teodorescu
2. Guangzhao Luo
3. Fei Gao
4. Mattia Ricco
5. Daniel-Ioan Stroe
6. Maciej Swierczynski
7. Jinhao Meng

In Electrical and Electronic Engineering

1. Remus Teodorescu
2. Guangzhao Luo
3. Fei Gao
4. Mattia Ricco
5. Daniel-Ioan Stroe
6. Maciej Swierczynski
7. Jinhao Meng
8. Thorsten Staake

In Hardware and Architecture

1. Guangzhao Luo
2. Fei Gao
3. Jinhao Meng

Citations in the corpus

• Lithium Polymer Battery State-of-Charge Estimation Based on Adaptive Unscented Kalman Filter and Support Vector Machine (2016, methodology): “The models developed by Shepherd, Unnewehr, and Nernst [25] rely on empirical formulas, while equivalent circuit models [26], [27], like the Thevenin battery model, and the electrochemical models are also used for SOC estimation in some literature [28]– [32].”
• Overview of Lithium-Ion battery modeling methods for state-of-charge estimation in electrical vehicles (2018, background): “[33,36] otherwise M and M 0 are the parameters estimated from the test data.”
• Economic assessment of photovoltaic battery systems based on household load profiles (2018, background): “Considerable literature is available on various battery models [79].”