Widanalage Dhammika Widanage

Automotive Engineering · 2016–2021

A researcher in the Science corpus: 7 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Automotive Engineering — 141 citations into it
• Electrical and Electronic Engineering — 138 citations into it
• Control and Systems Engineering — 13 citations into it
• Safety, Risk, Reliability and Quality — 13 citations into it

Whom Widanalage Dhammika Widanage trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Xiaosong Hu
2. Robert R. Richardson
3. Christoph R. Birkl
4. Adil Rasheed
5. Gregory J. Offer
6. David A. Howey
7. Billy Wu
8. Yi Li
9. Jingwen Wei
10. Eric R. Ziegel

Papers from Widanalage Dhammika Widanage's perspective

Ordered by how strongly the researchers Widanalage Dhammika Widanage trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gaussian process regression for forecasting battery state of health
2. Data-driven prediction of battery cycle life before capacity degradation (Nature Energy)
3. Synthesize battery degradation modes via a diagnostic and prognostic model
4. State of health estimation algorithm of LiFePO4 battery packs based on differential voltage curves for battery management system application
5. Comprehensive Modeling of Temperature-Dependent Degradation Mechanisms in Lithium Iron Phosphate Batteries
6. Development of a lifetime prediction model for lithium-ion batteries based on extended accelerated aging test data
7. An online method for lithium-ion battery remaining useful life estimation using importance sampling and neural networks
8. The distribution of relaxation times as basis for generalized time-domain models for Li-ion batteries
9. A quick on-line state of health estimation method for Li-ion battery with incremental capacity curves processed by Gaussian filter
10. Novel application of differential thermal voltammetry as an in-depth state-of-health diagnosis method for lithium-ion batteries

Their papers

• Gaussian Process Regression With Automatic Relevance Determination Kernel for Calendar Aging Prediction of Lithium-Ion Batteries (2020) — 308 citations
• A Comparison between Electrochemical Impedance Spectroscopy and Incremental Capacity-Differential Voltage as Li-ion Diagnostic Techniques to Identify and Quantify the Effects of Degradation Modes within Battery Management Systems (2017) — 481 citations
• Development of Experimental Techniques for Parameterization of Multi-scale Lithium-ion Battery Models (2020) — 363 citations
• A Data-Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery (2021) — 602 citations
• Theory of battery ageing in a lithium-ion battery: Capacity fade, nonlinear ageing and lifetime prediction (2020) — 249 citations
• Battery digital twins: Perspectives on the fusion of models, data and artificial intelligence for smart battery management systems (2020) — 334 citations
• A Study of Cell-to-Cell Interactions and Degradation in Parallel Strings: Implications for the Battery Management System (2016) — 133 citations