Bo Egardt
Automotive Engineering · 2005–2016
A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Automotive Engineering — 29 citations into it; #1,001 of 3,081 by trust here, #969 by citations
- Electrical and Electronic Engineering — 26 citations into it; #6,388 of 16,539 by trust here, #5,516 by citations
Whom Bo Egardt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Bo Egardt overall
Papers from Bo Egardt's perspective
Ordered by how strongly the researchers Bo Egardt trusts endorse each paper. Same corpus, a different order for every researcher.
- Physiological time-series analysis using approximate entropy and sample entropy. (American Journal of Physiology. Heart and Circulatory Physiology)
- Sparse Bayesian Learning and the Relevan e Ve tor Ma hine
- A review on lithium-ion battery ageing mechanisms and estimations for automotive applications
- A Technique for Estimating the State of Health of Lithium Batteries Through a Dual-Sliding-Mode Observer (IEEE transactions on power electronics)
- Differential thermal voltammetry for tracking of degradation in lithium-ion batteries
- Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries
- 126: Probability and Random Processes
- Cycle-life model for graphite-LiFePO 4 cells
- Estimation of Battery State of Health Using Probabilistic Neural Network (IEEE Transactions on Industrial Informatics)
- Data-Based Techniques Focused on Modern Industry: An Overview (IEEE transactions on industrial electronics (1982. Print))
Their papers
- Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling (2016) — 460 citations
- Enhanced Sample Entropy-based Health Management of Li-ion Battery for Electrified Vehicles (2014) — 173 citations
- Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming (2005) — 338 citations