Guangzhao Luo
Automotive Engineering · 2016–2018
A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Automotive Engineering — 40 citations into it
- Electrical and Electronic Engineering — 37 citations into it
Whom Guangzhao Luo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jinhao Meng
- Johan A. K. Suykens
- M. Petzl
- Habiballah Rahimi-Eichi
- Mohammad Charkhgard
- B. Scrosati
- Rui Xiong
- Jonghoon Kim
- Xiaosong Hu
- Issa Batarseh
Who trusts Guangzhao Luo overall
Papers from Guangzhao Luo's perspective
Ordered by how strongly the researchers Guangzhao Luo trusts endorse each paper. Same corpus, a different order for every researcher.
- A comparative study of equivalent circuit models for Li-ion batteries
- A review on the key issues for lithium-ion battery management in electric vehicles
- The State of Charge Estimation of Lithium-Ion Batteries Based on a Proportional-Integral Observer (IEEE Transactions on Vehicular Technology)
- Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles
- Stable Configuration of a Li-Ion Series Battery Pack Based on a Screening Process for Improved Voltage/SOC Balancing (IEEE transactions on power electronics)
- Evaluation on State of Charge Estimation of Batteries With Adaptive Extended Kalman Filter by Experiment Approach (IEEE Transactions on Vehicular Technology)
- Least Squares Support Vector Machine Classifiers
- Practical Capacity Fading Model for Li-Ion Battery Cells in Electric Vehicles (IEEE transactions on power electronics)
- State-of-Charge Estimation for Lithium-Ion Batteries Using Neural Networks and EKF (IEEE transactions on industrial electronics (1982. Print))
- Advancements in OCV Measurement and Analysis for Lithium-Ion Batteries (IEEE transactions on energy conversion)
Their papers
- Lithium Polymer Battery State-of-Charge Estimation Based on Adaptive Unscented Kalman Filter and Support Vector Machine (2016) — 297 citations
- An Overview and Comparison of Online Implementable SOC Estimation Methods for Lithium-Ion Battery (2018) — 335 citations
- Overview of Lithium-Ion battery modeling methods for state-of-charge estimation in electrical vehicles (2018) — 330 citations