E
Electrochemical Simulation
Resolve voltage, state of charge, electrolyte transport, electrode potentials and reaction-current profiles with a spatial DFN model.
Multiphysics battery simulation
Advanced battery simulation for research and industry.
PHYZION is a physics-based battery simulation platform built around a spatial finite-volume Doyle–Fuller–Newman (DFN) workflow, traceable material data and controlled scientific validation.
Physics-based
Built around engineering models, not black-box claims.
Research-oriented
Designed for universities, laboratories and R&D teams.
Closed Alpha
A functional Simple edition is currently under validation.
Future-ready
Cloud and AI-assisted capabilities are part of the roadmap.
PHYZION · Representative Output Preview
● ● ●
Voltage vs Time
State of Charge
Electrolyte Concentration
Nonlinear Residual
Core capabilities
One platform for key battery simulation workflows.
PHYZION is being developed as a scalable engineering platform, starting with a focused Simple edition and expanding toward Academic and Industrial use.
T
Thermal Architecture
Thermal models are part of the wider platform architecture; the currently exposed qualified Simple DFN workflow is isothermal.
B
Battery Presets
Configure simulations from qualified cell and chemistry presets while retaining scientific traceability.
R
Scientific Reporting
Generate structured outputs, warnings and exportable simulation data for technical review.
A
Degradation Framework
Degradation and aging capabilities are staged extensions and are not claimed as outputs of the current isothermal Simple DFN workflow.
AI
AI-assisted Analysis
Planned intelligence layer for interpreting results, identifying anomalies and supporting engineering decisions.
Physics engine
Physics-informed models with traceable assumptions.
PHYZION uses a spatial finite-volume DFN formulation with governed chemistry data, explicit numerical contracts and fail-closed runtime admission. Model availability remains limited by qualification status.
Current computational scope
- Spatial finite-volume Doyle–Fuller–Newman full-cell model
- Electrolyte mass transport and charge conservation
- Solid-particle diffusion in both electrodes
- Electrode and electrolyte potentials, reaction-current profiles and SOC
- Fully coupled backward-Euler nonlinear solution with adaptive cutback
- Explicit termination, residual and numerical-failure contracts
Advanced development path
- Additional qualified chemistries and operating domains
- Provenance-preserving material and parameter registries
- Thermal and degradation extensions after qualification
- Academic and industrial product workflows
- Cloud execution, controlled sweeps and scalable workers
Electrochemical
DFN
Numerics
Traceable
Scientific validation
Validation is treated as a development gate, not a marketing decoration.
The Simple edition uses gated numerical verification, provenance-controlled datasets and qualification records. The current Closed Alpha exposes the LG M50 reference workflow with documented operating limitations.
Validation activities
- Deterministic regression and reproducibility testing
- Nonlinear residual, timestep and convergence checks
- LG M50 reference-data qualification with explicit limitations
- Material, parameter and dataset provenance tracking
- Fail-closed runtime admission and documented limitations
Current status
- Working MVP available
- LG M50 qualified with limitations
- Public claims limited to implemented features
- Samsung and additional operating domains remain gated until qualification
MVP
Under validation
Reproducible
Development status
A real MVP, presented without imaginary fireworks.
The platform is functional and evolving. Current claims are deliberately limited to what has been implemented or is clearly identified as planned.
✓
Working MVP available
Core simulation flow and essential result views are operational.
✓
LG M50 qualified with limitations
Current work focuses on the qualified-with-limitations LG M50 workflow, numerical consistency, usability and documented scientific boundaries.
→
Academic and Industrial editions planned
Broader chemistry coverage, thermal and degradation extensions, scaling and professional workflows remain staged behind scientific gates.
Product roadmap
A staged development path from a usable entry product to a deeper scientific and industrial platform.
MVP
Completed
Web Platform
In progress
AI Assistant
Planned
Designed for
Researchers, engineers and battery-development teams.
Universities
Teaching and research
Laboratories
Scientific workflows
Cell Developers
Design evaluation
Automotive R&D
Engineering analysis
Energy Storage
System development
About the venture
PHYZION by Fekri Future Power
PHYZION is developed by Fekri Future Power, an emerging DeepTech engineering venture focused on battery simulation and scientific software.
The project is currently being prepared for collaboration with research institutions, incubators and industrial partners in France and Europe.
Contact: Kaiserfekri@yahoo.com
