Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles

By W. Waag, Christian Fleischer, Dirk Uwe Sauer. 2014

987 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/2625cc6b7969d7aa10c7446fb73d98f8b5f8ecd5

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. Rui Xiong
2. Nicolás Muñoz-Galeano
3. Henry O. Sarmiento-Maldonado
4. Juan Pablo Rivera-Barrera
5. Hongwen He
6. Saad Mekhilef
7. Moh Yamani Idna Idris
8. Prashant Shrivastava

In Electrical and Electronic Engineering

1. Nicolás Muñoz-Galeano
2. Henry O. Sarmiento-Maldonado
3. Juan Pablo Rivera-Barrera
4. Tey Kok Soon
5. Saad Mekhilef
6. Moh Yamani Idna Idris
7. Prashant Shrivastava
8. P. Kollmeyer

Citations in the corpus

• Tackling Climate Change with Machine Learning (2019, background): “[205] Wladislaw Waag, Christian Fleischer, and Dirk Uwe Sauer.”
• Lithium-Ion Battery Pack State of Charge and State of Energy Estimation Algorithms Using a Hardware-in-the-Loop Validation (2017, methodology): “Currently, the Kalman filter (KF) is one of the most popular methods to estimate battery state in EVs [9]–[12].”