State-of-health monitoring of lithium-ion battery modules and packs via incremental capacity peak tracking
By Caihao Weng, Xuning Feng, Jing Sun, Huei Peng. 2016
280 citations recorded by the source corpus.
Subfields: Automotive Engineering, Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/e1c194fa4943c08b6968bb48e7f4a235d3fa84fa
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
- Xuning Feng
- Minggao Ouyang
- Xiaosong Hu
- Languang Lu
- Xianke Lin
- Xiangming He
- Dongsheng Ren
- Xuebing Han
In Control and Systems Engineering
- Xiaosong Hu
- Michael A. Osborne
- Kwok Leung Tsui
- Yunhong Che
- Simona Onori
- David A. Howey
- Robert R. Richardson
- Xianke Lin
In Electrical and Electronic Engineering
- Xuning Feng
- Minggao Ouyang
- Xiaosong Hu
- Languang Lu
- Xiangming He
- Xianke Lin
- Dongsheng Ren
- Xuebing Han
Citations in the corpus
- A Review on Battery Market Trends, Second-Life Reuse, and Recycling (2021, background): “In 2011, Umicore and Rhodia announced the first recycling program for rare earth metals from NiMH batteries [71].”
- Battery Health Prediction Using Fusion-Based Feature Selection and Machine Learning (2020, background): “During the battery aging process, the peak value of the IC curve [29], the peak position [30], and the peak”
- Gaussian Process Regression for In Situ Capacity Estimation of Lithium-Ion Batteries (2017, methodology): “These techniques have conventionally been used for detailed cell analyses, such as understanding degradation mechanisms [16], [17], however recent studies have considered the use of portions of the IC/DV curve for online capacity estimation [18], [19], [20], [21], [22].”