ZeqEVBattery

Powertrain, ADAS, telemetry, diagnostics.

• Protocol ID — zeq-ev-battery
• Category — Automotive
• Endpoint — POST /api/auto/ev-battery
• Auth — api-key
• Rate limit — 15/min
• Version — 1.287.0
• Precision — ≤0.1% (KO42-enforced)

What it does

EV battery management with HulyaPulse cell balancing. State of charge/health estimation, thermal runaway prediction, optimal charging curves via R(t) electrochemistry.

Signature

Request

POST /api/auto/ev-battery

Param	Type	Required	Default	Description
cellVoltages	array	✓	—	Individual cell voltages [V].
temperatures	array	✓	—	Cell temperatures [°C].
current_A	number	✓	—	Pack current in Amps.

Response

{ soc_pct, soh_pct, thermalRunawayRisk, chargingCurve, cellImbalance_mV, zeqond }

Runnable example

curl -sS -X POST \
  -H "Authorization: Bearer $ZEQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "cellVoltages": [],
  "temperatures": [],
  "current_A": 0
}' \
  "https://api.zeq.dev/api/auto/ev-battery"

Integrate

1. Domain solver — compose with KO42 + two additional operators from the matching family for pulse-coherent results.
2. Digital twin — pipe sensor data into this protocol every Zeqond to keep the model phase-locked with the system.
3. Alert threshold — flag results whose error_pct exceeds 0.1% as out-of-spec events for the operations layer.

Seeds

• Near — wrap /api/auto/ev-battery in a language SDK so builders can call it in three lines.
• Medium — publish a reference integration demonstrating ZeqEVBattery alongside a real workload, with pulse-aligned metrics.
• Far — propose ZeqEVBattery as an open reference standard so other runtimes can implement it verbatim against the Zeq paper.

Papers

• Zeq paper — https://doi.org/10.5281/zenodo.18158152
• Framework paper — https://doi.org/10.5281/zenodo.15825138

Middleware active. Kernel on the 1.287 Hz HulyaPulse. Awaiting next Zeqond.