Christoph R. Birkl
Automotive Engineering · 2015–2017
A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Automotive Engineering — 56 citations into it; #1,054 of 3,081 by trust here, #827 by citations
- Electrical and Electronic Engineering — 55 citations into it; #8,278 of 16,539 by trust here, #5,046 by citations
Whom Christoph R. Birkl trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matthieu Dubarry
- Caihao Weng
- Maitane Berecibar
- Robert R. Richardson
- Carl E. Rasmussen
- Xiaosong Hu
- Richard H. Byrd
- Huei Peng
- Jocelyn Sabatier
- Maruan Al-Shedivat
Who trusts Christoph R. Birkl overall
- D. Roman
- Robert R. Richardson
- Weihan Li
- Xiaosong Hu
- Kailong Liu
- Carlos Pastor-Fernández
- David A. Howey
- Saurabh Saxena
- Widanalage Dhammika Widanage
- N. Sengupta
Papers from Christoph R. Birkl's perspective
Ordered by how strongly the researchers Christoph R. Birkl trusts endorse each paper. Same corpus, a different order for every researcher.
- Machine learning - a probabilistic perspective
- State-of-health monitoring of lithium-ion battery modules and packs via incremental capacity peak tracking
- Differential thermal voltammetry for tracking of degradation in lithium-ion batteries
- State of health estimation algorithm of LiFePO4 battery packs based on differential voltage curves for battery management system application
- Gaussian Processes for Machine Learning (GPML) Toolbox
- Online state of health estimation on NMC cells based on predictive analytics
- Gaussian process regression for forecasting battery state of health
- A review on prognostics and health monitoring of Li-ion battery
- Learning Scalable Deep Kernels with Recurrent Structure
- On-board state of health monitoring of lithium-ion batteries using incremental capacity analysis with support vector regression
Their papers
- Degradation diagnostics for lithium ion cells (2017) — 1,527 citations
- Gaussian Process Regression for In Situ Capacity Estimation of Lithium-Ion Batteries (2017) — 315 citations
- A Parametric Open Circuit Voltage Model for Lithium Ion Batteries (2015) — 160 citations
- Time-domain fitting of battery electrochemical impedance models (2015) — 144 citations