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Dr Mayank Vyas
Cygni Energy Private Limited, Malaviya National Institute of Technology Jaipur, Rajiv Gandhi Technical University, Global Institute of Technology, University of Rajasthan
0000-0002-8008-4878
About
My major thrust area focuses on fault identification and failure assessment of lithium-ion batteries through electrochemical impedance spectroscopy and a machine learning approach at the cell/battery level. Most prominently, Fault and failure caused in power train components of Electric vehicles.
Employment
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Cygni Energy Private Limited Subject Matter Specialist & Manager2021 - 2022
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Malaviya National Institute of Technology Jaipur Senior Research Fellow2016 - 2021
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Global Institute of Technology Assistant Professor (Teaching)2009 - 2016
Education
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Malaviya National Institute of Technology Jaipur Doctor of Philosophy2016 - 2021
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Rajiv Gandhi Technical University Master of Technology2012 - 2015
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University of Rajasthan Bachelor of Engineering2001 - 2005
Projects & Funding
Projects & funding information is unavailable.
Publications (7)
- Investigation of supercapacitor cyclic degradation through impedance spectroscopy and Randles circuit model Save
- State‐of‐charge prediction of lithium ion battery through multivariate adaptive recursive spline and principal component analysis Save
- Impact of refueling parameters on storage density of compressed hydrogen storage Tank Save
- Single point diagnosis of short circuit abuse condition in lithium-ion battery through impedance data Save
- Investigation of structural stability of type IV compressed hydrogen storage tank during refueling of fuel cell vehicle Save
- Multivariate optimization for maximum capacity of lead acid battery through Taguchi method Save
- Performance optimization of Co2O3-PVDF-CNT-based supercapacitor electrode through multi-response optimization method Save