Hicham Chaoui

Automotive Engineering · 2017

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Automotive Engineering — 9 citations into it; #1,494 of 3,081 by trust here, #2,181 by citations
• Electrical and Electronic Engineering — 6 citations into it; #9,065 of 16,539 by trust here, #11,977 by citations

Whom Hicham Chaoui trusts overall

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

1. Zheng Chen
2. Ho-Ta Lin
3. Hongwen He
4. K. Cheng
5. Tsorng-Juu Peter Liang
6. Yuhong Fu
7. Rui Xiong
8. M. Petzl
9. Alireza Khaligh
10. Chunting Chris Mi

Who trusts Hicham Chaoui overall

1. Carlos Vidal
2. Weihan Li
3. Pawel Malysz
4. N. Sengupta
5. P. Kollmeyer

Papers from Hicham Chaoui's perspective

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

1. Battery-Management System (BMS) and SOC Development for Electrical Vehicles (IEEE Transactions on Vehicular Technology)
2. State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model (IEEE Transactions on Vehicular Technology)
3. Estimation of Battery State of Health Using Probabilistic Neural Network (IEEE Transactions on Industrial Informatics)
4. Advancements in OCV Measurement and Analysis for Lithium-Ion Batteries (IEEE transactions on energy conversion)
5. Stable Configuration of a Li-Ion Series Battery Pack Based on a Screening Process for Improved Voltage/SOC Balancing (IEEE transactions on power electronics)
6. Nonlinear observers for predicting state-of-charge and state-of-health of lead-acid batteries for hybrid-electric vehicles (IEEE Transactions on Vehicular Technology)
7. State of Charge Estimation of Lithium-Ion Batteries in Electric Drive Vehicles Using Extended Kalman Filtering (IEEE Transactions on Vehicular Technology)
8. Battery, Ultracapacitor, Fuel Cell, and Hybrid Energy Storage Systems for Electric, Hybrid Electric, Fuel Cell, and Plug-In Hybrid Electric Vehicles: State of the Art (IEEE Transactions on Vehicular Technology)
9. Li-Ion Battery SOC Estimation Method based on the Reduced Order Extended Kalman Filtering
10. Development and Validation of a Battery Model Useful for Discharging and Charging Power Control and Lifetime Estimation (IEEE transactions on energy conversion)

Their papers

• State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks (2017) — 453 citations