Juan Pablo Rivera-Barrera
Automotive Engineering · 2017
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Automotive Engineering — 15 citations into it
- Electrical and Electronic Engineering — 14 citations into it
Whom Juan Pablo Rivera-Barrera trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rui Xiong
- Zheng Chen
- Jun Xu
- Mahammad Abdul Hannan
- Scott Jason Moura
- Chunting Chris Mi
- Christian Fleischer
- Yuhong Fu
- Jinpeng Tian
- Minggao Ouyang
Papers from Juan Pablo Rivera-Barrera's perspective
Ordered by how strongly the researchers Juan Pablo Rivera-Barrera trusts endorse each paper. Same corpus, a different order for every researcher.
- Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles
- A systematic model-based degradation behavior recognition and health monitoring method for lithium-ion batteries
- A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
- A new method to estimate the state of charge of lithium-ion batteries based on the battery impedance model
- The Co-estimation of State of Charge, State of Health, and State of Function for Lithium-Ion Batteries in Electric Vehicles (IEEE Transactions on Vehicular Technology)
- A novel fractional order model based state-of-charge estimation method for lithium-ion battery
- State of Charge Estimation of Lithium-Ion Batteries in Electric Drive Vehicles Using Extended Kalman Filtering (IEEE Transactions on Vehicular Technology)
- Unscented filtering and nonlinear estimation
- Electrochemical impedance spectroscopy based estimation of the state of charge of lithium-ion batteries
- Battery State Estimation for a Single Particle Model With Electrolyte Dynamics (IEEE Transactions on Control Systems Technology)
Their papers
- SoC Estimation for Lithium-ion Batteries: Review and Future Challenges (2017) — 385 citations