Learning roadmap
Books, papers, standards, and public datasets may inform the work, but the explanations, examples, code, tests, notebooks, and visualizations are written specifically for this course. A part is marked available only when both its implementation and its learning material are ready.
Chapter 1
Complete. Six modules from cell structure and ratings through production routes and aging.
| Part | Concept | Status | Main format |
|---|---|---|---|
| 01 | Cell anatomy and charge/discharge paths | Launch online | Browser workbench |
| 01B | Lithium-ion cell architecture | Launch online | Interactive browser tutorial |
| 02 | Nominal capacity and C-rate | Available | Reading, calculators, quiz · notebook |
| 03 | Lithium-ion battery production — materials to finished cell | Launch online | Interactive production simulator |
| 03B | All-solid-state cell production | Launch online | Interactive route-comparison simulator |
| 04 | Battery aging — how a cell wears out | Available | Reading, 9 interactive panels, quiz · notebook |
Part 01 introduces the cell components and charge/discharge paths. Part 01B moves through the structural scales inside a lithium-ion cell. Part 02 introduces the first quantitative battery-rating relationships. Part 03 follows a reference graphite/NMC production route through electrode manufacturing, assembly, formation, aging, grading, and final testing. Part 03B compares the substantially different oxide, halide, sulfide, and polymer routes used for all-solid-state cell concepts. Part 04 then connects cell structure and operating conditions to degradation mechanisms and observable aging signals.
Stated limits
The production simulators use published process sequences and operating ranges, but their quality, throughput, interface, energy, margin, and risk-control outputs are illustrative teaching relationships rather than calibrated factory predictions. The aging notebook likewise uses simplified equations for trend exploration, not cell-specific state-of-health or lifetime prediction.
Chapter 2
Planned. It will start from measured terminal behaviour and build only the model complexity the available data and validation objective actually need.
| Part | Concept | Status | Main format |
|---|---|---|---|
| 2.1 | Terminal voltage, current, power, and sign convention | Planned | Documentation and notebook |
| 2.2 | Open-circuit voltage and state of charge | Planned | Python model and notebook |
| 2.3 | Series-resistance or R0 model | Planned | Tested Python model and notebook |
| 2.4 | One-RC Thevenin model | Planned | Tested Python model and notebook |
| 2.5 | Multiple-RC and discrete-time ECMs | Planned | Python package and notebooks |
| 2.6 | Parameter identification and model validation | Planned | Data workflow and notebook |
Each part must state its assumptions, units, sign conventions, limitations, and validation method.
Alongside the chapters
Self-contained interactive browser lab
A Zn/Cu aqueous example, voltage references, the water stability window, lithium-ion intercalation, and representative electrode-material trade-offs.
Tested physics modules
Fick's first law for local diffusive flux, with its documentation, example, and transport notebook; and the two degradation rate laws behind Part 04 — an Arrhenius temperature factor and a parabolic film-growth law, both taking their coefficients as inputs rather than assuming a chemistry.