Pawel P Malysz

McMaster University

H-index: 22

North America-Canada

About Pawel P Malysz

Pawel P Malysz, With an exceptional h-index of 22 and a recent h-index of 18 (since 2020), a distinguished researcher at McMaster University, specializes in the field of Control Engineering, Robotics, Energy Management Systems, Mechatronics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Health Monitoring of Lithium-Ion Batteries Using Dual Filters

Estimating battery state of charge using recurrent and non-recurrent neural networks

Comparative Study between equivalent circuit and recurrent neural network battery voltage models

Machine learning applied to electrified vehicle battery state of charge and state of health estimation: State-of-the-art

Battery entropic heating coefficient testing and use in cell-level loss modeling for extreme fast charging

Robust xev battery state-of-charge estimator design using a feedforward deep neural network

Pawel P Malysz Information

University	McMaster University
Position	Fiat Chrysler Automobiles
Citations(all)	2569
Citations(since 2020)	1704
Cited By	1462
hIndex(all)	22
hIndex(since 2020)	18
i10Index(all)	36
i10Index(since 2020)	21
Email	Access Email
University Profile Page	McMaster University
Google Scholar	View Google Scholar Profile

Pawel P Malysz Skills & Research Interests

Control Engineering

Robotics

Energy Management Systems

Mechatronics

Top articles of Pawel P Malysz

Title	Journal	Author(s)	Publication Date
Health Monitoring of Lithium-Ion Batteries Using Dual Filters	Energies	Richard Bustos Stephen Andrew Gadsden Pawel Malysz Mohammad Al-Shabi Shohel Mahmud	2022/3/18
Estimating battery state of charge using recurrent and non-recurrent neural networks	Journal of Energy Storage	Carlos Vidal Pawel Malysz Mina Naguib Ali Emadi Phillip J Kollmeyer	2022/3/1
Comparative Study between equivalent circuit and recurrent neural network battery voltage models		Mina Naguib Carlos Vidal Phillip Kollmeyer Pawel Malysz Oliver Gross ...	2021/4/6
Machine learning applied to electrified vehicle battery state of charge and state of health estimation: State-of-the-art		Carlos Vidal Pawel Malysz Phillip Kollmeyer Ali Emadi	2020/3/16
Battery entropic heating coefficient testing and use in cell-level loss modeling for extreme fast charging	SAE International Journal of Advances and Current Practices in Mobility	Jeremy Lempert Phillip Kollmeyer Pawel Malysz Oliver Gross James Cotton ...	2020/4/14
Robust xev battery state-of-charge estimator design using a feedforward deep neural network	SAE International Journal of Advances and Current Practices in Mobility	Carlos Vidal Phillip Kollmeyer Mina Naguib Pawel Malysz Oliver Gross ...	2020/4/14