More sellable capacity and a longer life from battery storage

Battery intelligence for battery energy storage systems (BESS): State of Health, temperature exposure and cycle history for every pack and rack on site, from commissioning to resale.

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A grid scale battery energy storage system (BESS) is made up of racks or packs, which in turn consist of cells. It ranges from a few MW at a company’s own depot to hundreds of MW connected directly to the grid. It earns by storing power when it is cheap and releasing it when it is dear. It can also stand ready to help the grid operator keep the network stable.

The job is to deliver as much of the rated capacity as possible and to lose capacity no faster than the supplier guaranteed. The battery also has to stay available around 98% of the time.

Why the weakest cell decides how much of the asset can be sold

Cells drift out of balance over time, and the system then stops early to protect the weakest one. By some estimates, that leaves up to 10% of the energy unsold, even though it is physically still there. LFP, the cell chemistry in most large batteries, barely changes its voltage between 20 and 80% state of charge. A tiny reading error then becomes a 15% error in the estimated energy inside.

Topic Today With BMB
Health figure From the supplier’s own battery management system Read from how the battery behaves, per rack, every day
Capacity check A yearly test that takes the battery off the market Continuous, without taking the battery offline
Energy behind cells out of balance Up to 10% sits unused Found and brought back, inside the manufacturer’s limit
Capacity loss 20 to 30% in the first ten years, checked only against the supplier’s own number An independent number against the guarantee

Batteries lose 2 to 3% a year, and contracts now accept a battery ending at 65 or even 60% instead of 70. If it drops faster than promised, the owner pays unless he can prove it.

Battery storage park next to a solar farm, seen from the air

The owner or investor of a BESS has a business case with a 10 to 20 year return. The optimiser is paid to earn as much as possible today, whatever that costs in capacity. BMB supports both, and the asset manager. The effect of today’s trading strategy on the long term health of the asset becomes visible to every party involved.

BMB reads capacity from how the battery actually behaves, instead of from the supplier’s BMS. It works out how much of the rated capacity each pack really delivers. Capacity unlock brings it back towards the limit, always inside what the manufacturer allows.

Anomaly detection flags cells running hot or drifting out of balance long before the yearly test. Peak shaving keeps the site’s draw from the grid low.

The core features for BESS

Four features run on the data the BESS already produces: Battery protect, Capacity unlock, Peak shaving and Anomaly detection.

Battery protect

Battery protect measures true state of health per pack continuously and forecasts what is left in 5 to 10 years.

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Capacity unlock

Capacity unlock works out how much of the rated capacity a pack really delivers, and brings it back towards the limit. It runs on live data, through a BMB edge unit on site or a software link (API).

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Peak shaving

Peak shaving spreads the site’s power draw over the night. The billed peak comes down, and the existing grid connection goes further.

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Anomaly detection

Anomaly detection flags cells running hot or drifting out of balance in real time, long before the next test.

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Discuss features during a live demo

The BMB team shows which features fit which batteries, with the features running in a live demo.

  • Real usable capacity per rack, not the supplier’s BMS figure
  • Capacity unused behind cells out of balance, up to 10%
  • Cells running hot or drifting, long before the next test
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Download the one-pager on what BMB does for grid scale battery storage

Capacity, health and value of the storage asset, ready to share with the team.Download one pager