AccuVice GmbH offers patented, voltage-driven cloud diagnostics for lithium‑ion batteries. Single‑cell analytics provide precise SOC/SOH, chemistry‑agnostic self‑calibration, imbalance quantification, and early degradation alerts for EV fleets and energy storage.
AccuVice GmbH is a Germany-based spin-off from Offenburg University of Applied Sciences, founded by Simon Schwab and colleagues. Headquartered in Schuttertal, Germany, the company provides cloud-based, high-precision diagnostics for lithium-ion batteries. Its patented voltage-driven modeling enables single-cell SOC and SOH assessment and early detection of degradation and imbalance. AccuVice’s mission is to make battery assets more transparent and predictable for operators, warranty teams, and service providers, supporting longer service life, safer operation, and improved residual value through data-driven maintenance and planning.
AccuVice’s core technology is a patented voltage-driven diagnostic model that uses measured cell voltages as the primary input rather than current. This method improves accuracy while reducing computational load and removes reliance on separate current sensors. The platform self-calibrates internal resistance and open-circuit voltage (OCV) curves, operates at single-cell granularity across large packs, and automatically identifies common lithium-ion chemistries via OCV signatures. Supporting features include advanced hysteresis modeling for LFP, cloud or on-premise analytics, API integration with BMS/telemetry, and early-detection capabilities that enhance safety and extend usable lifetime.
AccuVice provides a cloud-hosted diagnostics platform and analytics services delivering precise SOC and SOH estimates, cell- and module-level imbalance reporting, internal resistance and usable energy metrics, and OCV-curve tracking. Key features include API/BMS integration, real-time dashboards, and reporting for warranty assessment and asset valuation. Typical applications cover grid-scale energy storage, EV fleets, stationary backups, and industrial battery systems requiring accurate lifetime prediction and optimized maintenance.
