Security metadata, corrected.
GitHub Advisory Database #8819 merged .
Analyst credit · GHSA-78fc-9688-w8xw
Read the contribution recordElectrical R&D · Battery systems · BESS assurance
Engineering decisions backed by inspectable evidence.
Battery models, grid controls and BESS assurance, with methods and evidence you can inspect.
Explore the system map and engineering background
Mohammad Rezwan Khan · Electrical R&D Engineer · PhD in Energy Technology, Aalborg University. His work connects battery thermal systems, BESS QA/QC, FAT/SAT readiness, grid-forming control, and MATLAB/Simulink model validation.
Energy systems, storage and controlConceptual system
- Control
- Solar
- Battery
- Grid
- Mobility
Arrow keys pan; +/− zoom; Home resets. Enter or Space selects. Illustrative flow, not a scientific test.
Follow the work.
Inspect the evidence.
Models and upstream work, linked to source.
Current public releases
- MATLAB Energy Lab
- v1.12.0Published 21 Oct 2026
- Datacenter Twin Lab
- v2.0.1Published 26 Oct 2026
- HelioForge
- 30 Oct 2026 releasePublished 30 Oct 2026
Checked .
Inspectable work
Start with something you can examine.
Models and QA/QC references with their assumptions, limits and sources.
Open models
Run and inspect a model.
Battery thermal and DC-link references in MATLAB and Python, with tests and stated limits.
Open model libraryBESS QA/QC
Trace acceptance evidence.
Requirements, FAT/SAT, NCR closure and handover, connected by sanitized QA/QC records.
Open artifact libraryAgentic Engineering
Keep the agent accountable.
A draft curriculum for tool use, automated checks, failure handling and engineer approval.
Review the syllabusFind a tool by engineering question
Engineering artifact finder
Search existing models and QA/QC references by topic. Each result includes its source and limits.
Matching sourcesLOCAL / NO API
Choose a topic to see its sources.
Battery models, converter equations and QA/QC tools, with source records and limits alongside each result.
Ready · Search stays in this browser
Open engineering models
Run the equations. Inspect the assumptions.
Explore a modelling laboratory, thermal sensitivity model and QA/QC toolkit. Each record has a revision and scope; passing software checks does not qualify hardware or a safety-critical design.
Battery · converters · BESS control · MATLAB/Simulink
MATLAB Simulink Energy Lab
RC → SOC-EKF → electro-thermal → BESS control
Explore the validated labBattery thermal · MATLAB/Python reference
Battery thermal response
Cth dT/dt = I²R − hA(T − Tamb)
Inspect thermal assumptionsBESS delivery · QA/QC toolkit · Python/JSON
BESS QA/QC Toolkit
requirement → evidence → gate → acceptance
Inspect the readiness gateExplore six more model references
6 of 6 additional model references · All
Power electronics · MATLAB/Python reference
DC-link ripple and capacitance
Cmin = 2E / (V₁² − V₂²)
Inspect sizing assumptionsBattery degradation · analysis software · Python
Battery Cycle-Life Analyzer
capacity fade → model comparison → bounded EOL
Compare degradation modelsBattery thermal · research translation · Python
Battery Thermal Modeling Notes
source → equation → interval → engineering decision
Trace the thermal evidenceGrid storage · research benchmark · Python
VoltRL
statet + informationt → policy → value
Inspect the benchmark protocolBESS control · validated MATLAB/Simulink model
Grid-tied and grid-forming control
P, Q, V, f → modes, limits, verified transitions
Review the validated controllerGrid services · executable playbook · Python
Smart Grid Storage Playbook
P, Q, f, V, SoC → constraint-aware dispatch
Explore grid-service limitsExplore the complete open-engineering library Explore browser laboratories Browse all public repositories
Engineering decisions
What had to be decided, and what evidence made the decision possible.
Employer-and-date context stays visible; confidential project data stays private.
Utility-scale ESS/EPC review
- Situation
- Bidder assumptions and interfaces needed a common review baseline.
- Action
- Structured sizing inputs, technical responses, and risk ownership.
- Result
- A decision-ready review trail before procurement and execution.
BESS QA/QC and acceptance
- Situation
- Acceptance evidence was distributed across suppliers and milestones.
- Action
- Linked criteria, FAT/SAT evidence, NCR status, and commissioning records.
- Result
- A traceable handover path with visible ownership and closure status.
Human-supervised AI
AI should accelerate engineering work without obscuring responsibility.
The workflow exposes the objective, approved tools, generated artifacts, checks, stop conditions, and accountable reviewer.
Agentic engineering with explicit approval boundaries
Every generated artifact remains connected to its input, tool, test, and accountable reviewer.
- RequirementBounded objective
- Agent planVisible steps
- Tool callMATLAB / Simulink
- VerificationTests and limits
- EvidenceReviewable package
- EngineerReview required
Stop conditions
- Missing inputs
- Failed tests
- Unsupported assumptions
- Safety-relevant decision
- Unclear approval authority
Bounded input
Define what the agent may and may not decide.
Record the objective, system boundary, available evidence, prohibited actions, stop conditions, and approval authority.
Illustrative workflow scenario
Illustrative scenario: BESS thermal safety review
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Proposed — The engine suggested a conservative cooldown profile and a revised current envelope for a candidate pack design.
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Illustrative check — In this hypothetical scenario, checks flag two edge cases outside acceptance bounds, including edge-zone hotspot growth in case 4; no test was run and no evidence package is implied.
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Engineer review — The engineer withholds acceptance because the illustrative residuals do not meet safety bounds and requests revised boundary conditions and another validation run.
Illustrative outcome: Human approval remains required; this is not an executed pilot, test result, or field outcome.
See the illustrative workflowPublished research
Research earns another life when its assumptions can be inspected in code.
The DOI establishes the scientific record. The implementation exposes selected equations, assumptions, tests, and engineering limits.
- DOI
- Question
- Equation
- Implementation
- Test
- Known limits
Research software
Inter-cell heat exchange → deterministic 3-D graph evidence
Inspect ThermoWeave-3DThermal systems
Spatial temperature evidence → reduced-order sensitivity model
Verify publisher recordState estimation
Measured behavior → online identification and SoC estimation
Verify publisher recordBESS control
Operating modes → controller requirements and scenarios
Verify publisher recordBESS QA/QC traceability resources
The one-page checklist, ten-row CSV sample and expanded 18-row CSV are available immediately. They are sanitized examples, not controlled project documents. You can also prepare an email request for the same template.
Technical conversation
Bring one model, requirement, or review bottleneck.
Send the system boundary, available evidence, and decision deadline. I will reply with the most relevant model, case study, or technical next step.