Mohammad Charkhgard
Automotive Engineering · 2010
A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Automotive Engineering — 9 citations into it; #238 of 3,081 by trust here, #1,269 by citations
- Control and Systems Engineering — 6 citations into it; #1,327 of 8,257 by trust here, #1,814 by citations
- Electrical and Electronic Engineering — 5 citations into it
Whom Mohammad Charkhgard trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Simon S. Haykin
- Jaemoon Lee
- Martin Coleman
- N. Munichandraiah
- Chi Kwan Lee
- Henk Jan Bergveld
- Andreas Jossen
- Bo-Hyung Cho
- Chunbo Zhu
- Phl Peter Notten
Who trusts Mohammad Charkhgard overall
- Jingwen Wei
- Ho-Ta Lin
- Yao He
- Ephrem Chemali
- Carlos Vidal
- Claudio Sbarufatti
- Binyu Xiong
- P. Kollmeyer
- Jinhao Meng
- Anthony Barré
Papers from Mohammad Charkhgard's perspective
Ordered by how strongly the researchers Mohammad Charkhgard trusts endorse each paper. Same corpus, a different order for every researcher.
- A review of state-of-charge indication of batteries by means of a.c. impedance measurements
- Methods for state-of-charge determination and their applications
- State-of-Charge Determination From EMF Voltage Estimation: Using Impedance, Terminal Voltage, and Current for Lead-Acid and Lithium-Ion Batteries (IEEE transactions on industrial electronics (1982. Print))
- Kalman Filtering and Neural Networks
- Li-Ion Battery SOC Estimation Method based on the Reduced Order Extended Kalman Filtering
- A Modularized Charge Equalizer for an HEV Lithium-Ion Battery String (IEEE transactions on industrial electronics (1982. Print))
- Neural Networks: A Comprehensive Foundation
- Stochastic Models, Estimation And Control
- Nonlinear observers for predicting state-of-charge and state-of-health of lead-acid batteries for hybrid-electric vehicles (IEEE Transactions on Vehicular Technology)
- State-of-the-art of battery state-of-charge determination
Their papers
- State-of-Charge Estimation for Lithium-Ion Batteries Using Neural Networks and EKF (2010) — 742 citations