Ministry of Education
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Prof Saurabh Saxena

vidwan id: 482211
Male

Assistant Professor (Grade-II), Centre for Automotive Research and Tribology
Indian Institute of Technology Delhi

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Expertise

  • Mechanical Engineering

Publications

Total Articles 25
Books 0
Proceedings 0

Publications

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Scopus

Citations 1473
h-index 17

CrossRef

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Citations 44
h-index 2
Google Scholar

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Professional Recognition

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Community & Membership

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Bio

Electrochemical Energy Storage, Lithium-ion Batteries, Battery Management System, Machine Learning for Prognostics and Health Management, Accelerated Degradation Testing, Physics of Failure

Personal Details

  • Male
  • Assistant Professor (Grade-II) , Indian Institute of Technology Delhi
  • Indian Institute of Technology Delhi, Hauz Khas, New Delhi, Delhi, India
Ph.D
University of Maryland, College Park, USA 2020
Assistant Professor (Grade-II) Oct 2023 – Present
Indian Institute of Technology Delhi | Centre for Automotive Research and Tribology

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Scholarly Work

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Scholarly Publications

Particle Filter with Systematic Resampling for Battery State of Charge Estimation

Open Access
Conference Paper
Year: 2024.
Authors: Patidar V.K.;Panigrahi B.K.;Dubey R.;Saxena S.
DOI 10.1109/SEFET61574.2024.10718278

Battery State of Charge Estimation with Separable Temporal Convolutional Networks

Open Access
Conference Paper
Year: 2024.
Authors: Mohan N.C.;Priyadarshi H.;Patidar V.K.;Panigrahi B.K.;Saxena S.
DOI 10.1109/SEFET61574.2024.10717918
1

Feature engineering for machine learning enabled early prediction of battery lifetime

Open Access
Article
Journal of Power Sources. Year: 2022. Volume: 527 .
Authors: Paulson N.H.;Kubal J.;Ward L.;Saxena S.;Lu W.;Babinec S.J.
DOI 10.1016/j.jpowsour.2022.231127
101

A convolutional neural network model for battery capacity fade curve prediction using early life data

Open Access
Article
Journal of Power Sources. Year: 2022. Volume: 542 .
Authors: Saxena S.;Ward L.;Kubal J.;Lu W.;Babinec S.;Paulson N.
DOI 10.1016/j.jpowsour.2022.231736
77

Battery stress factor ranking for accelerated degradation test planning using machine learning

Open Access
Article
Energies. Year: 2021. Volume: 14 , Issue: 3 .
Authors: Saxena S.;Roman D.;Robu V.;Flynn D.;Pecht M.
DOI 10.3390/en14030723
28

A Machine Learning Degradation Model for Electrochemical Capacitors Operated at High Temperature

Open Access
Article
IEEE Access. Year: 2021. Volume: 9 , Pages: 25544-25553 .
Authors: Roman D.;Saxena S.;Bruns J.;Valentin R.;Pecht M.;Flynn D.
DOI 10.1109/ACCESS.2021.3057959
21

Role of the rest period in capacity fade of Graphite/LiCoO2 batteries

Open Access
Article
Journal of Power Sources. Year: 2021. Volume: 484 .
Authors: Saxena S.;Ning Y.;Thompson R.;Pecht M.
DOI 10.1016/j.jpowsour.2020.229246
10

Machine learning pipeline for battery state-of-health estimation

Open Access
Article
Nature Machine Intelligence. Year: 2021. Volume: 3 , Issue: 5 , Pages: 447-456 .
Authors: Roman D.;Saxena S.;Robu V.;Pecht M.;Flynn D.
DOI 10.1038/s42256-021-00312-3
426