Early prediction of fire risk in EV lithium-ion batteries
Sealed lithium-ion battery packs/cells based on LFP chemistry and prismatic cell format are stored at approximately 40% state of charge in a warehouse environment. We are seeking solutions that can provide early warning of thermal instability or potential fire risk in sealed lithium-ion batteries during warehouse storage and during transportation from supplier to factory.
commensurate
Reward money is paid in exchange of legally acquiring the solution, implementing it to solve the problem and meeting the success criteria. Milestones for paying the reward money would depend upon the complexity of challenge and maturity of the proposed solution, which would be discussed with the solver as soon as the proposed solution is selected by us.
16 Sep 2026
| 62 Day(s) Left
Challenge details:
Sealed lithium-ion battery packs/cells based on LFP chemistry and prismatic cell format are stored at approximately 40% state of charge in a warehouse environment. The storage area is exposed to dust and fumes. The batteries are placed inside recyclable HDPE packaging boxes and stacked vertically, two boxes high, within MS storage racks.
The current storage configuration is as follows:
- Rack dimensions: 6 m (H) × 10 m (L) × 2 m (W)
- Packaging dimensions: 1200 mm × 1000 mm × 600 mm
We are seeking solutions that can provide early warning of thermal instability or potential fire risk in sealed lithium-ion batteries during warehouse storage and during transportation from supplier to factory.
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Rewards proportional to your differentiated solution! More than one solution is expected to exist. Solution may be implemented without customization.
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Rewards proportional to your differentiated solution! More than one solution is expected to exist. Solution may be implemented without customization.
We are seeking a solution for reliable monitoring of electrical systems and field operations in low or no network environments, enabling secure offline operation, safety‑critical workflows, and seamless data synchronization once connectivity is available.
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Rewards proportional to your differentiated solution! More than one solution is expected to exist. Solution may be implemented without customization.
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Rewards proportional to your differentiated solution! More than one solution is expected to exist. Solution may be implemented without customization.
Slag pots used in blast furnace operations are prone to crack formation due to extreme temperatures, thermal cycling, and mechanical stresses. Current manual inspection methods are subjective and may miss critical defects. The challenge is to develop an automated, non-contact solution to accurately detect, classify, and report cracks on slag pots in a high-temperature steel plant environment, enabling safer and more reliable operations.
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