Research reach
20,879+Reads listed on the public ResearchGate profile
Public profile link for battery thermal management, BESS, smart-grid, and SoC-estimation work.
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Electrical R&D Engineer at Akkodis
Mohammad Rezwan Khan
I move clean-energy work from battery test data to EPC decisions that survive field review.
Battery R&D, BESS QA/QC, smart-grid control, FAT/SAT readiness, and MATLAB/Simulink validation for teams that need decisions they can trace.
Impact & metrics
Research record with public source links.
Public sources linked
Citation signal
627Citation snapshot linked to Google Scholar
The number links to the live Scholar profile; reload validation checks the profile ID, not a scraped count.
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Publication base
17Publications listed on ResearchGate
Includes calorimetry, pouch-cell thermal modeling, BTMS design, SoC estimation, and grid-forming BESS control.
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Profile trail
Public profiles for cross-checking authorship and research scope
Use these links to verify works, citations, co-authors, and research themes without relying on the site alone.
Technical philosophy & research
Battery systems need test data before scale-up decisions.
My work uses calorimetry, multiphysics thermal modeling, SoC estimation, FMEA, and SIL/HIL validation to make battery behavior testable before scale-up.
THERMAL MANAGEMENT
BATTERY SAFETY
REAL-TIME SOC ESTIMATION
POWER ELECTRONICS
THERMAL MANAGEMENT
BATTERY SAFETY
REAL-TIME SOC ESTIMATION
POWER ELECTRONICS
GRID-FORMING STORAGE
AUTONOMOUS ENGINEERING
HYBRID POWERTRAIN
DIGITAL TWINS
GRID-FORMING STORAGE
AUTONOMOUS ENGINEERING
HYBRID POWERTRAIN
DIGITAL TWINS
CALORIMETRIC MEASUREMENT
MODEL-BASED CONTROL
RENEWABLE INTEGRATION
MISSION-DRIVEN R&D
CALORIMETRIC MEASUREMENT
MODEL-BASED CONTROL
RENEWABLE INTEGRATION
MISSION-DRIVEN R&D
Profile
Battery R&D, delivery discipline, and traceable technical work.
I moved from battery research into industrial delivery because the hardest energy decisions sit between lab data, control logic, supplier promises, and field acceptance. I like problems where performance, safety, documentation, and timing all have to agree before a project can move.
Predict and improve performance before it becomes reliability risk in EV and grid-connected battery systems.
Shape BESS control logic that can be reviewed, tested, and documented across operating modes.
Turn R&D outputs into delivery choices across hybrid powertrain, renewables, and power electronics.
Achievement stories
Challenge, action, result.
Selected examples framed the way engineering managers evaluate work: what was unclear, what I did, and what became easier to decide.
Battery research
Thermal behavior before scale-up
- Challenge
- Battery packs need thermal evidence before design teams commit to cooling architecture, control limits, or lifetime assumptions.
- Action
- Used calorimetry, multiphysics modeling, SoC estimation, and FMEA to connect measured behavior with design decisions.
- Result
- Created research outputs and public publications visitors can verify through ResearchGate, Google Scholar, and ORCID.
Utility-scale ESS
Procurement decisions with fewer blind spots
- Challenge
- EPC bidder reviews become risky when scope, interfaces, assumptions, and LCoE trade-offs are scattered across documents.
- Action
- Supported ESS sizing, RFP review, due diligence, technical specifications, and bidder comparison for hybrid energy projects.
- Result
- Made scope gaps, supplier inputs, and decision points easier to review before procurement and delivery commitments hardened.
BESS QA/QC
Inspection records that help handover
- Challenge
- FAT/SAT, NCRs, punch lists, commissioning gates, and warranty feedback can disconnect when quality is treated as paperwork.
- Action
- Structured inspection records, acceptance criteria, NCR status, review cadence, and handover-ready documentation.
- Result
- Linked the case study to a sanitized traceability matrix so visitors can inspect the working method, not only the claim.
Expertise pillars
Battery, grid, and power electronics work grounded in testable methods.
Hybrid Electric Powertrain
Optimizing subsystem architecture and energy flow for next-generation electric mobility.
Smart Grid
Deploying intelligent control and resilient storage strategies for grid-forming BESS.
Renewable Energy Systems
Maximizing PV-battery integration and storage flexibility for utility-scale delivery.
Power Electronics
Engineering robust converters and fault-detection systems for uncompromised power quality.
AI for Energy Systems
Applying digital twins and predictive modeling to optimize battery thermal behavior and grid response.
Core capabilities
Skillset
BESS roadmap, QA/QC, FAT/SAT, NCR tracking, MATLAB/Simulink, and project controls for energy-system delivery.
Strategic Project Leadership
- Portfolio and program management
- Cross-functional technical leadership
- International stakeholder coordination
- BESS roadmap and specification planning
- CAPEX/OPEX and quality-cost awareness
- Risk assessment and mitigation
- KPI tracking and decision logs
- Change and escalation management
Technical Innovation & R&D
- Hybrid electric powertrain systems
- BMS, BTMS, and battery safety logic
- MATLAB/Simulink and model-based design
- RCP, SIL/PIL/HIL validation workflows
- Power electronics and converter systems
- Smart-grid and renewable integration
- AI-assisted energy-system analytics
- Systems engineering and prototyping
Project Management Tools
- Jira and Confluence delivery boards
- MS Project and milestone planning
- PLM and PDM collaboration systems
- GitHub and version-control workflows
- Simulation and test documentation tools
- Requirements and traceability matrices
- Dashboard, reporting, and KPI packs
- Microsoft Office technical documentation
End-to-End Project Excellence
- Agile, waterfall, and V-model methods
- FMEA and quality-assurance frameworks
- FAT/SAT and commissioning readiness
- QA/QC inspection and NCR systems
- Supplier interface and warranty feedback
- Technical handover documentation
- Regulatory and standards alignment
- Cross-disciplinary problem solving
Featured case studies
Utility-scale ESS execution and BESS QA/QC under real project constraints.
Two focused examples tied to the career timeline: EPC bidder review and QA/QC traceability for battery energy storage work.
Portfolio artifact
Sanitized BESS QA/QC traceability matrix
Inspect a practical FAT/SAT, NCR, owner, and handover tracking sample.
Employer/year tags included
Artifact linked directly
Case details open on click
01
Utility-scale EPC Project Leadership
Coordinating high-stakes energy delivery from system intent to execution readiness.
- Problem
- EPC review becomes fragile when sizing assumptions, supplier interfaces, RFP responses, and LCoE trade-offs are not traceable.
- Role
- Energy storage specialist supporting utility-scale ESS sizing, due diligence, technical specifications, and bidder proposal review.
- Solution
- Structured EPC review around requirements, interfaces, risk registers, assumptions, and decision logs for cross-functional review.
- Impact
- Gives engineering managers a clear review trail before procurement, site execution, and commercial commitments harden.
02
QA/QC Systems Implementation
Building inspection workflows for FAT/SAT, NCR, and handover control.
- Problem
- BESS and regulated energy projects need traceable records across FAT/SAT, commissioning gates, punch lists, and warranty feedback.
- Role
- Quality-system builder connecting inspection discipline with engineering feedback loops and supplier accountability.
- Solution
- Standardize inspection records, NCR tracking, acceptance criteria, review rituals, and handover-ready documentation.
- Impact
- Connects inspections, NCR status, punch-list closure, and handover files in one review trail.
- Artifact
- Sanitized BESS QA/QC traceability matrix linked above the case cards.
Career journey
Mapping the Projects, Missions, and Partnerships that Shape My Career.
A CV-derived view of R&D, BESS portfolio strategy, utility-scale EPC evaluation, QA/QC systems, and battery-grid research milestones.
June 2022 - Present
Electric Engineer, Akkodis France
Advancing model-based design for hybrid power systems through RCP architecture, HMI development, simulation-based testing, and CI/CD workflows for MATLAB, Simulink, and RCP environments.
November 2019 - June 2022
R&D Engineer, TotalEnergies France
Built strategic BESS portfolio intelligence across standards, market requirements, customer needs, technical specifications, warranty cases, quality cost drivers, sizing, O&M, and decarbonization roadmaps.
May 2018 - May 2019
Energy Storage Specialist, Vestas Wind A/S Denmark
Led energy storage engineering inside hybrid solutions, covering degradation modelling, utility-scale ESS sizing, technical specifications, EPC bidder proposal review, RFP support, due diligence, and LCoE-driven value engineering.
2017 - 2018
Senior Engineer, Beyonder AS Norway
Led BMS and BTMS technology work for electric vehicle, heavy transport, and maritime storage applications, combining ISO 26262 functional safety, HIL verification, quality assurance, and partner-backed project planning.
2013 - 2017
Ph.D. Fellow, Aalborg University Denmark
Researched thermal management of battery systems for EV and smart-grid applications, including BESS dimensioning, cell electrical-thermal characterization, multiphysics modelling, SIL/HIL testing, FMEA, and student supervision.
June 2011 - August 2013
Research Employee, VITO Belgium
Developed battery-grid integration research, online SoC estimation, nonlinear parameter estimation, Kalman filtering, battery characterization, regression test campaigns, and multidisciplinary QA practices for battery systems.
Technical philosophy
How I think when systems get complex.
I prefer requirement IDs, test logs, acceptance criteria, and versioned handover files over broad claims.
Point of view 01
Battery performance is measured across load, heat, and time.
Thermal management, BMS logic, power electronics, enclosure design, and operating context have to be evaluated as one coupled risk picture.
Point of view 02
QA/QC is engineering memory.
A strong inspection system connects deviations, NCR owners, punch-list closure, and handover files.
Point of view 03
AI should improve diagnosis, sizing, forecasting, or simulation.
I look for AI use cases that improve diagnosis, sizing, forecasting, simulation, or traceability, not surface-level automation.
Featured publications
Research themes visitors can cite, explore, and connect around.
Thesis / Book
Thermal Management of Battery Systems in Electric Vehicle and Smart Grid Application
Experimental and modeling framework for battery thermal management in EV and next-generation smart-grid use cases.
Read on ResearchGateConference Paper
Design of a Unified Controller Framework for Grid-tied and Grid-forming Battery Energy Storage System
Control architecture for battery energy storage across connected and standalone grid operating modes.
Read on ResearchGateArticle
Towards an Ultimate Battery Thermal Management System: A Review
A review of quality, safety, and design pathways for high-performing battery thermal management systems.
Read on ResearchGateArticle
An Online Framework for State of Charge Determination of Battery Systems
State-of-charge estimation using system identification and nonlinear optimization approaches.
Read on ResearchGateCollaborate
Bring me the battery, grid, or QA/QC problem that needs a practical technical review.
Recruiters, engineering managers, researchers, and industry partners can connect on LinkedIn for R&D roles, BESS assurance, research collaboration, or technical strategy conversations.