A review on the key issues for lithium-ion battery management in electric vehicles

By Languang Lu, Xuebing Han, Jianqiu Li, Jianfeng Hua, Minggao Ouyang. 2013

4,458 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/9cff1af877a4a7c2f181604607173e9218b759ab

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. Kailong Liu
2. Xiaosong Hu
3. Xuning Feng
4. Minggao Ouyang
5. Languang Lu
6. Xianke Lin
7. Xiangming He
8. Simona Onori

In Electrical and Electronic Engineering

1. Xiaosong Hu
2. Xuning Feng
3. Minggao Ouyang
4. Kailong Liu
5. Languang Lu
6. Xiangming He
7. Xianke Lin
8. Dongsheng Ren

Citations in the corpus

• Remaining Useful Life Prediction and State of Health Diagnosis for Lithium-Ion Batteries Using Particle Filter and Support Vector Regression (2018, background): “[8], [9], these processes and algorithms for SOH and/or RUL can be principally classified into four categories: 1) direct measurement; 2) battery model-based parameters identification closed-loop estimation; 3) durability model based open-loop estimation; and 4) data-driven method.”