T3B 18650 netlist explicit grammar#

Tier-3B explicit-netlist battery grammar benchmark with variable cell count and direct interconnect editing.

See Grammar Problem Catalog for the grammar family index.

Quick Facts#

Field

Value

Problem ID

battery_18650_t3b_netlist_explicit_grammar

Problem Family

grammar

Implementation

design_research_problems.problems.grammar._battery_tiers:Battery18650T3BNetlistExplicitGrammarProblem

Capabilities

discrete-actions, external-adapter, optional-evaluator, serializable-state, statement-markdown

Study Suitability

none

Tags

grammar, battery, tiered, tier-3b, explicit-netlist, graph-netlist

Taxonomy#

Formulation

discrete_grammar

Convexity

not_applicable

Design Variable Type

mixed

Is Dynamic

no

Orientation

engineering_practical

Feasibility Ratio Hint

0.03

Objective Mode

multi

Constraint Nature

hard

Bounds Summary

explicit graph-netlist topology with variable active-cell count

Tags

grammar, battery, tiered, tier-3b, explicit-netlist, graph-netlist

Benchmark Contract#

Benchmark Question

How well do grammar methods synthesize explicit battery netlists when structure and wiring are first-class design decisions?

Physically Modeled

Explicit cells, terminals, and interconnects; Shared explicit-circuit validation and discharge simulation; Grid-based pack layout summary and a steady-state thermal proxy

Deliberate Surrogates

The grammar representation is explicit-netlist rather than pose-native; Thermal behavior remains a low-order proxy layered on top of the explicit circuit backend

Representation Mode

explicit_netlist

Default Evaluation Mode

explicit_circuit

Supported Evaluation Modes

explicit_circuit, hybrid_thermal

Validation Scope

Explicit-circuit consistency checks

Solver Role

grammar benchmark; no packaged optimizer

Statement#

Tier 3 adds explicit topology/wiring freedom and variable active-cell count to the pose-aware layout space. Designers can add/remove/move cells and edit interconnects directly in the explicit battery graph.

This rung introduces meaningful electrical-topology variability beyond fixed rectangular assumptions.

The grammar operates directly on explicit cells and interconnects. Topology quality is not only about cell count; stage balance matters. If n_i is stage population:

  • P_eq = min_i(n_i)

  • C_pack ~= P_eq * C_cell

  • I_limit ~= P_eq * C_cell * C_rate_max

This creates constructive pressure for balanced stage populations while still allowing open-ended wiring edits.

Problem Shape#

Field

Value

State Type

BatteryCircuitState

Initial Transition Count

31

Initial Rule Names

add_cell, add_connection, move_cell, set_pack_terminals

Manifest Parameters#

Key

Value

evaluation_mode

explicit_circuit

max_cell_count

24

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)