18650 open-ended battery-pack graph grammar
An explicit-circuit grammar for adding 18650 cells one at a time, wiring arbitrary valid interconnects, and evaluating the resulting pack with a shared circuit backend.
See Grammar Problem Catalog for the grammar family index.
Quick Facts
Field |
Value |
|---|---|
Problem ID |
|
Problem Family |
grammar |
Implementation |
|
Capabilities |
|
Study Suitability |
none |
Tags |
|
Taxonomy
- Formulation
discrete_grammar
- Convexity
not_applicable
- Design Variable Type
discrete
- Is Dynamic
no
- Orientation
engineering_practical
- Feasibility Ratio Hint
0.05
- Objective Mode
multi
- Constraint Nature
hard
- Bounds Summary
explicit 3D cell coordinates inside a fixed envelope plus an explicit battery-circuit netlist capped at 16 cells
- Tags
grammar,battery,graph-netlist,layout,co-design
Statement
Design a battery pack using 18650 cells under an explicit electrical graph model. The grammar starts with a single cell and lets designers add one cell at a time already tied into the circuit, remove cells, move cells in space, add or remove interconnects between cell terminals, and choose the positive and negative pack terminals directly.
The benchmark target is a 14.8V pack with at least 10Ah capacity and at least 60A continuous current, under a 500mm x 500mm x 250mm envelope. The evaluation path applies deterministic geometry and graph-validity checks first, then uses a shared library-owned equivalent-circuit simulation informed by a single-cell pybamm integration.
Problem Shape
Field |
Value |
|---|---|
State Type |
BatteryCircuitState |
Initial Transition Count |
31 |
Initial Rule Names |
|
Manifest Parameters
Key |
Value |
|---|---|
max_cell_count |
16 |
max_depth_mm |
500 |
max_height_mm |
250 |
max_width_mm |
500 |
minimum_capacity_ah |
10 |
minimum_current_a |
60 |
target_voltage_v |
14.8 |
voltage_tolerance_v |
0.1 |
Initial Transition Summary
Rule Name |
Transition Count |
|---|---|
add_cell |
21 |
add_connection |
1 |
move_cell |
7 |
set_pack_terminals |
2 |
Library Interface
initial_state()enumerate_transitions(state)enumerate_next_states(state)evaluate(state)