Dr Muhammad Sheikh


School of Digital, Technologies and Arts

Muhammad is an Electrical engineering lecturer as well as an active researcher in Electric vehicle performance and safety analysis. His main areas of interest are Lithium-ion battery testing/modelling, battery aging study, battery failure study, battery recycling and reuse applications.

I am a Lecturer, with a background as a researcher and project engineer in Battery testing/characterisation, battery abuse study, battery failure analysis, battery modelling and battery test matrix design for electric vehicle applications.

In the last Twelve years, I was involved in number of successful commercial and research projects including, voltage balancing of supercapacitor string (Staffordshire university), Thermal runaway detection of lithium-ion battery and battery abuse study (University of Sunderland), battery mechanical/electrical/thermal hazards and failures (WMG, the University of Warwick), H1PERBAT (Aston Martin Lagonda and Williams advanced engineering), Faraday’s MSM Correlation work, Eatron’s cell and module testing (Istanbul Technical university), Long-term aging work (Jaguar Land Rover), Transportation safety (Calendar aging analysis), FPT (Fiat Powertrain, Switzerland) testing for heat rejection analysis, Edge mobility (E-scooter), UK Battery Industrialisation Centre, UKBIC formation cycling, Long-term cycling for fully discharge and reduce depth of discharge, BritishVolt aging and formation work, Ocado testing for robots applications, Welding study for battery busbar (TVS motors).

I have used various testing and characterisation techniques including EIS, CC-CV, GITT, HPPC, Multisine test, Drive cycle profile, relaxation, DCIR, OCV, RPT, teardown analysis, coin cell fabrication, three electrode cells, and capacity analysis. I also have hands on experience on abuse testing techniques of the Li-ion batteries including nail penetration, external short-circuit and thermal heating for which I have used experimental and numerical simulation tools to understand and validate battery behaviour.

I have collaborated with academic and industrial partners including, Aston Martin Lagonda (AML), Williams Advanced Engineering (WAE), Fiat Powertrain (FPT), UK Battery Industrialisation Centre (UKBIC), National Composite Centre (NCC), Unipart, Coventry University, University of Birmingham, Imperial College London, University college London (UCL), AMAP (University of Sunderland) and Lancaster University. My tireless effort towards timely delivery of results helped our partners to understand the behaviour of their chosen lithium-ion battery type for lifetime prediction, BMS design, parametric study, long-term aging, and their safe transportation. As a result of successful completion of H1PERBAT, we secured project with FPT (Switzerland) which provided us an opportunity for international collaboration.




Professional memberships and activities

  • Registered with the PEC (Pakistan Engineering Council)
  • Reviewer Journal of Power Sources
  • Reviewer Journal of Automotive composites
  • Member ASME

Academic qualifications

  • PhD, ‘State of charge dependent thermal runaway detection of lithium-ion battery under mechanical abuse conditions’, University of Sunderland, UK.
  • MSc in Electrical Engineering, Staffordshire University.
  • Academic and professional pathway for postgraduate researchers’ (APP PGR), Warwick University.
  • BS in Electronics Engineering, SSUET, Karachi-Pakistan.


  • Lithium-ion battery testing and characterisation using EIS, CC-CV, GITT, HPPC, Multisine test, Drive cycle profile, heat rejection and capacity analysis
  • Abuse testing of Lithium-ion battery using various testing techniques including thermal, mechanical and electrical abuse.
  • Thermal analysis of cells for heat capacity, thermal conductivity and pressure build-up using ARC
  • Cell and module testing using battery cyclers and data acquisition equipment
  • Battery test matrix design and program implementation
  • Understanding of hardware and software structures of battery cyclers (Maccor, Bitrode, Chroma, Biologic and Digatron)
  • Finite Element Analysis (FEA) using LS-DYNA
  • Project planning
  • Leadership and management
  • Report writing and presentation of results

Research interests

  • Electrical and mechanical aspects of energy storage systems for electric vehicles
  • Energy storage degradation and safety
  • Aging of lithium-ion batteries
  • Failure indicators for the battery
  • Non-linear failure analysis
  • Cycling and calendar ageing
  • Short-circuit and thermal heating
  • Numerical simulation of Energy storage systems

Enterprise and commercial interests

I have worked extensively with number of automotive and academic partners to understand their engineering challenges and helped them to achieve their targets with my research, management and leadership skills.

I worked in collaboration with colleagues at the WMG, the University of Warwick to design and deliver Battery school material for students and professional working in the energy storage sector.

I have extensive experience of working with both UK and International partners.



  • Power Electronics
  • Electrical rotating machines
  • Programmable logic controllers
  • Electrical principles
  • Embedded systems


  • Modern power system and protection
  • Power converters for Electric utilities


A Study of Reduced Battery Degradation through State-of-Charge Pre-Conditioning for Vehicle-to-Grid Operations, TMN Bui, M Sheikh, TQ Dinh, A Gupta, DW Widanalage, J Marco, IEEE Access. Received November 2, 2021, accepted November 13, 2021, date of publication November 16, 2021, date of current version November 30, 2021. Digital Object Identifier 10.1109/ACCESS.2021.3128774

Systematic derivation and validation of a reduced thermal-electrochemical model for lithium-ion batteries using asymptotic methods, FB Planella, M Sheikh, WD Widanage, Electrochimica Acta, 5 May 2021, 138524. https://doi.org/10.1016/j.electacta.2021.138524

Internal Short Circuit Analysis of Cylindrical Lithium-Ion Cells Due to Structural Failure, Muhammad Sheikh, Mohab Elmarakbi, Sheikh Rehman, Ahmed Elmarakbi, Journal of the Electrochemical society (2021) 130 (1), 27

A combined experimental and simulation approach for short circuit prediction of 18650 lithium-ion battery under mechanical abuse conditions, M Sheikh, A Elmarakbi, S Rehman, Journal of Energy Storage (2020) 32, 101833.

Theory of battery ageing in a lithium-ion battery: Capacity fade, nonlinear ageing and lifetime prediction, S Atalay, M Sheikh, A Mariani, Y Merla, E Bower, WD Widanage, Journal of Power Sources (2020) 478,

Development of an Accurate Life-Time Prediction Model for Lithium-Ion Batteries, S Atalay, M Sheikh, WD Widanage, ECS Meeting Abstracts, 2020.

Numerical simulation model for short circuit prediction under compression and bending of 18650 cylindrical lithium-ion battery, M Sheikh, S Rehman, M Elkady, Energy Procedia (2018) 151, 187-193.

Using Sensors Data and Emissions Information to Diagnose Engine's Faults, ME Chunli Xie, Yuchao Wang, J. MacIntyre, Muhammad Sheikh, Int. J. Comput. Intell. Syst (2018) 11 (1).

Numerical Analysis for Vehicle Collision Mitigation and Safety Using Dynamics Control Systems, M Elkady, M Sheikh, K Burn, Advances in System Dynamics and Control (2018), 421-475.

Thermal runaway detection of cylindrical 18650 lithium-ion battery under quasi-static loading conditions, M Sheikh, A Elmarakbi, M Elkady, Journal of Power Sources (2017) 370, 61-70

Thermal and Electrical failure analysis of lithium-ion battery after crash, M Sheikh, A Elmarakbi, S Rehman (2016).

A Novel Approach for Predicting Thermal Runaway in Electric Vehicle Batteries When Involved in a Collision, M Sheikh, D Baglee, M Knowles, A Elmarakbi, M Al-Hariri, ASME 2015 International Mechanical Engineering Congress and Exposition

Voltage balancing of supercapacitors string using rectifier diodes: analytical and simulation approach, M Sheikh, M Sheikh, OP Sheikh, MZ Alam, YY Moosa, Int. J. Sci. Eng. Res (2014) 5 (11)

Control the Temperature of Hot Air Blower Rig using PI (Proportional Integral) and Adaptive PI Controllers, SMAU Rehman, D Baglee, M Sheikh, O Parveen Articles 1–17 (2014).

UK University

StudentCrowd University Awards 2022

for Job Prospects

StudentCrowd University Awards 2022

for Student Satisfaction

Complete University Guide 2022

for Social Inclusion

The Times and The Sunday Times Good University Guide 2023

for Course Content

StudentCrowd University Awards 2022

of Research Impact is ‘Outstanding’ or ‘Very Considerable’

Research Excellence Framework 2021