IN Brief:
- iON+ will transfer high-frequency operational data from BESS assets into ACCURE's analytics platform.
- Corrected state-of-energy values can be returned to operators for trading and dispatch.
- Analysis at Gore Street's 75MW Dogfish battery projected an annual revenue benefit above US$110,000.
iON+ and ACCURE Battery Intelligence have formalised a data partnership intended to give battery energy storage operators a faster route between site-level operating information and independent battery analytics. The integration will move high-frequency BESS data into ACCURE’s platform and return corrected values for use in dispatch and trading.
iON+, developed by Conrad Energy, will provide the data bridge between storage assets and ACCURE. The software will extract and record high-frequency data points from battery systems and transmit them to ACCURE in near real time, reducing the amount of bespoke integration work required when operators connect new sites or portfolios.
The same route can send corrected information back to the operator, including state-of-energy estimates. That creates a closed information loop in which the raw measurements generated by a battery are analysed externally before revised operating values are fed back into the commercial and dispatch process.
The distinction between measured electrical quantities and estimated battery state is important. Voltage and current can be measured directly, but state of charge and usable energy are calculated from models drawing on those measurements alongside temperature, cell behaviour, operating history, and other parameters. Those models inevitably carry some uncertainty.
For battery chemistries with relatively flat voltage curves across much of their operating range, voltage alone provides a weak indication of how much usable energy remains. Estimation errors can therefore accumulate between calibration events, particularly as cells age and individual racks no longer behave exactly as they did when commissioned.
That creates a direct commercial problem. If an energy management system understates available capacity, a trader may leave sellable megawatt-hours unused. If it overstates capacity, the asset may commit to a dispatch instruction it cannot deliver, exposing the operator to imbalance or non-delivery costs and potentially leaving the battery at an undesirable state of charge for the next market interval.
ACCURE’s analysis of Gore Street Capital’s Dogfish battery in Texas gives the partnership a practical reference point. Dogfish is a 75MW, one-hour system participating in the ERCOT market. Analysis of operating data identified an interval in which 3.8MWh of potentially tradable energy remained unused during a price peak because the reported state of charge did not accurately represent available capacity.
The companies estimate that improved state-of-energy correction at Dogfish could deliver an annual benefit above US$110,000, which they describe as roughly a 5% uplift against average battery trading revenues in ERCOT. The corrected values went live at the site in July 2026 without requiring additional power hardware.
That last point is commercially significant. Adding another battery container or inverter increases physical capacity but also requires capital, space, integration, and potentially a changed connection agreement. Better state estimation attempts instead to extract more reliable performance from equipment that already exists.
The opportunity becomes larger at portfolio scale. Storage owners may operate assets supplied by different battery manufacturers, inverter vendors, integrators, and control-system providers. Each can expose data using different interfaces, naming conventions, sample rates, and structures, making independent analysis harder to deploy consistently across a mixed fleet.
iON+ is intended to provide a common operational layer across those assets. Conrad Energy says the wider platform already supports operations, dispatch, optimisation, and analysis functions across generation and storage, with the data partnership extending that architecture into ACCURE’s cell-level battery analytics.
Condition information can also help distinguish commercial underperformance from physical degradation. A battery may appear to have lost revenue because of poor market dispatch when the underlying cause is imbalance between racks, deteriorating cells, thermal constraints, inverter availability, or an inaccurate capacity estimate. Bringing engineering and trading data together makes those causes easier to separate.
The approach does not eliminate degradation. Lithium-ion batteries still lose usable capacity and power capability with age, temperature exposure, calendar time, and cycling. Better analytics instead give operators a more accurate picture of how the equipment is changing, allowing dispatch assumptions, warranty discussions, augmentation plans, and maintenance work to be based on measured behaviour rather than a static commissioning model.
As storage markets become more competitive, those marginal gains will matter more. Early batteries could earn strong revenues simply by entering relatively undersupplied ancillary-service markets; larger fleets mean owners increasingly have to compete on availability, dispatch accuracy, degradation management, and the cost of operating each megawatt-hour.
The iON+ and ACCURE partnership is therefore a software integration, but its output is ultimately measured in physical battery performance. A storage plant cannot sell energy that its control system does not believe exists, and it cannot deliver energy that an optimistic model has invented. Closing that gap is becoming another part of running BESS assets as power-system infrastructure rather than treating them as containers with a trading algorithm attached.
