Valentin Sulzer
Electrical and Electronic Engineering · 2020–2022
A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 152 citations into it
- Automotive Engineering — 145 citations into it
Whom Valentin Sulzer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Valentin Sulzer overall
Papers from Valentin Sulzer's perspective
Ordered by how strongly the researchers Valentin Sulzer trusts endorse each paper. Same corpus, a different order for every researcher.
- Gaussian process regression for forecasting battery state of health
- Degradation diagnostics for lithium ion cells
- Variational Inference: A Review for Statisticians
- A comparative study of equivalent circuit models for Li-ion batteries
- Charging protocols for lithium-ion batteries and their impact on cycle life—An experimental study with different 18650 high-power cells
- Data-driven prediction of battery cycle life before capacity degradation (Nature Energy)
- Comprehensive Modeling of Temperature-Dependent Degradation Mechanisms in Lithium Iron Phosphate Batteries
- Fusing Physics-based and Deep Learning Models for Prognostics (Reliability Engineering & System Safety)
- Thermal runaway mechanism of lithium ion battery for electric vehicles: A review
- Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review (Renewable & Sustainable Energy Reviews)
Their papers
- Python Battery Mathematical Modelling (PyBaMM) (2020) — 396 citations
- A continuum of physics-based lithium-ion battery models reviewed (2022) — 183 citations
- Review—"Knees" in Lithium-Ion Battery Aging Trajectories (2022) — 373 citations
- The challenge and opportunity of battery lifetime prediction from field data (2021) — 335 citations