How do you calculate a battery fire risk score?

Multiply each scored factor by its weight and sum them: severity x 0.40 + occurrence x 0.35 + detection/control weakness x 0.25. With severity 8, occurrence 6, and detection weakness 7, that is 3.2 + 2.1 + 1.75 = 7.05 on a 0-10 scale.

What is a good battery fire risk score?

Lower is better. On a 0-10 scale, scores under about 3 are low-priority, 3-6 warrant scheduled controls, and anything above 6 — like the 7.05 example — should trigger near-term action such as segregation, state-of-charge limits, or suppression upgrades.

Why is severity weighted higher than likelihood?

Because lithium-ion thermal runaway propagates between cells and can destroy a building or injure workers even when fires are rare. Weighting severity at 40% keeps a high-consequence, low-frequency hazard from being scored as 'safe' just because it has not happened yet.

What does the detection/control weakness score represent?

It rates how poorly you would catch and stop an event — gas/heat detection coverage, suppression type and reach, segregation, and emergency response time. A high score means weak controls, so it raises overall risk; strong controls lower it.

Risk score vs FMEA RPN — what's the difference?

An FMEA RPN multiplies severity, occurrence, and detection (often 1-1000), which spreads numbers unevenly. This score uses fixed percentage weights on one 0-10 scale, so results stay bounded and directly comparable across lots and areas.

How often should we re-score battery fire risk?

Re-score whenever feedstock chemistry or state of charge changes, after any near-miss or detection failure, and on a fixed cadence (monthly for active shred/storage areas). Controls degrade and incoming mix shifts, so a stale score under-states real exposure.

Battery Recycling & Materials Recovery calculator

Battery Fire Risk Score Calculator

The Battery Fire Risk Score turns three judgment calls — how bad a thermal runaway would be, how likely a fire is given the feedstock and process, and how weak your detection and suppression controls are — into a single comparable number. EHS leads, recovery plant managers, and insurers use it to triage which incoming lots, storage cells, and process steps (shredding, sorting, hydromet feed) get attention first. It matters because lithium-ion recyclers face thermal runaway events that propagate fast; ranking risk consistently is the difference between proactive de-energizing and a roof fire. The weighting (40/35/25) deliberately favors consequence severity, since a single propagating cell stack can total a building.

What this calculator does

Score battery fire risk from thermal severity, likelihood of occurrence, and detection or control weakness for a lot or process step.
a recycler needs to rank fire risk for inbound lots, storage areas, disassembly work, sorting, or shredding operations
It computes a weighted composite fire risk score from severity (40%), occurrence likelihood (35%), and detection/control weakness (25%) on one shared 0-10 scale.

Formula used

Battery fire risk score = severity score × 40% + occurrence score × 35% + detection/control weakness score × 25%
Use one scoring scale consistently so lots, areas, and process steps can be compared.

Inputs explained

Thermal event severity score:
Fire occurrence likelihood score:
Detection/control weakness score:

How to use the result

Use it when comparing the relative fire risk of different incoming lots, storage zones, or process steps so you can prioritize de-energizing, segregation, and suppression upgrades.
It is a relative ranking tool, not an absolute probability — a 7.05 does not mean a 70.5% chance of fire, and scores are only comparable when every input uses the same rubric.

Current U.S. benchmarks

The producer price index for copper and brass mill shapes stands at 559.593 (BLS, May 2026), up 76.8% from a year earlier. Quotes priced off last quarter's material cost miss this move. Global copper trades at $13,484 per tonne (IMF via FRED, May 2026).
The U.S. has 5,397 electrical equipment and appliances establishments employing about 369,437 workers (Census County Business Patterns, 2023).

Common questions

How do you calculate a battery fire risk score? Multiply each scored factor by its weight and sum them: severity x 0.40 + occurrence x 0.35 + detection/control weakness x 0.25. With severity 8, occurrence 6, and detection weakness 7, that is 3.2 + 2.1 + 1.75 = 7.05 on a 0-10 scale.
What is a good battery fire risk score? Lower is better. On a 0-10 scale, scores under about 3 are low-priority, 3-6 warrant scheduled controls, and anything above 6 — like the 7.05 example — should trigger near-term action such as segregation, state-of-charge limits, or suppression upgrades.
Why is severity weighted higher than likelihood? Because lithium-ion thermal runaway propagates between cells and can destroy a building or injure workers even when fires are rare. Weighting severity at 40% keeps a high-consequence, low-frequency hazard from being scored as 'safe' just because it has not happened yet.
What does the detection/control weakness score represent? It rates how poorly you would catch and stop an event — gas/heat detection coverage, suppression type and reach, segregation, and emergency response time. A high score means weak controls, so it raises overall risk; strong controls lower it.
Risk score vs FMEA RPN — what's the difference? An FMEA RPN multiplies severity, occurrence, and detection (often 1-1000), which spreads numbers unevenly. This score uses fixed percentage weights on one 0-10 scale, so results stay bounded and directly comparable across lots and areas.

Last reviewed 2026-05-12.