I turn battery physics, thermal behavior, and power-system requirements into models, validation evidence, and practical engineering decisions. My work spans lithium-ion battery safety, battery thermal management, real-time state estimation, BESS quality assurance, and smart-grid integration.
Current mission: build inspectable, reproducible energy-system tools that help researchers and engineers move from assumptions to defensible results.
Use this sequence when sharing the portfolio with a researcher, engineer, or project team:
- Start with the MATLAB Simulink Energy Lab for runnable battery, thermal, estimation, converter, and BESS reference models.
- Read the Battery Thermal Modeling Notes for source-backed assumptions and validation checklists.
- Explore the Battery Cycle-Life Analyzer for transparent capacity-fade fitting and bounded end-of-life projections.
- Compare VoltRL for an audit-ready battery-arbitrage benchmark with explicit synthetic and historical information protocols.
- Move toward delivery with the BESS QA/QC Toolkit and Smart Grid Storage Playbook for evidence templates and grid-support concepts.
Each project README provides its quickstart, scope boundary, validation path, contribution guidance, and license so the work can be shared without losing its engineering context.
| Research and modeling | Deployment and assurance | Technical leadership |
|---|---|---|
| Electro-thermal models, parameter identification, SOC estimation, multiphysics analysis, and validation design. | BESS QA/QC, commissioning evidence, requirement traceability, risk review, and performance verification. | Cross-functional engineering, research translation, technical roadmaps, open-source stewardship, and decision-ready communication. |
The MATLAB Simulink Energy Lab is an open-source collection of inspectable battery and power-electronics reference models. Each model states its assumptions, validates its behavior, and connects simulation output to an engineering question.
| Model track | What is demonstrated |
|---|---|
| Battery dynamics | 1RC and 2RC equivalent-circuit models with toolbox-free parameter identification and held-out pulse-profile validation. |
| Thermal management | Lumped electro-thermal, six-cell liquid-cooling, and pouch-cell finite-volume models for heat generation, cooling sensitivity, and spatial nonuniformity. |
| State estimation | A two-state extended Kalman filter for real-time state-of-charge estimation. |
| Power conversion | Average-value converter references with deterministic validation tests. |
| Verification | Thirteen base-MATLAB checks and four native Simulink checks verified on MATLAB R2026a. |
| Project | Purpose | Signal |
|---|---|---|
| Battery Thermal Modeling Notes | Research-backed guidance on BTMS assumptions, heat generation, temperature behavior, and model validation. |  |
| BESS QA/QC Toolkit | Inspection logic and evidence templates for utility-scale battery energy storage projects. |  |
| Smart Grid Storage Playbook | Practical engineering guidance for grid-forming storage, dispatch, and renewable integration. |  |
| Battery Power Models | Tested MATLAB and Python references for battery thermal response and DC-link sizing. |  |
| VoltRL | Audit-ready finite-state battery-arbitrage benchmark under synthetic and historical wholesale prices. |  |
Modeling and analysis
Engineering domains
Delivery and reproducibility
My PhD research at Aalborg University, "Thermal Management of Battery Systems in Electric Vehicle and Smart Grid Application," connects battery thermal management, electrical characterization, and energy-storage control across electric-vehicle and smart-grid applications.
I welcome substantive collaboration around battery models, validation datasets, BESS engineering evidence, and reproducible energy-system research. Good starting points are the Energy Lab roadmap and its open issues.
Battery insight. Engineering evidence. Grid impact.
Website | LinkedIn | ORCID | GitHub Projects