Rimac Energy engineers the hardware, software, and intelligence that extract maximum performance from battery storage assets. Improving efficiency, usable energy, and lifetime.
Distributed power conversion embedded at module BMS. Turns any DC block into an AC system with no separate inverter.
Learn more ↓INTEGRATED C&I SYSTEMA fully integrated BESS built on SineTech. Highest efficiency and lifetime for lowest levellized cost of storage.
Learn more ↓INTELLIGENT BATTERY MANAGEMENTThe most accurate BMS for grid-scale storage, ±2% per-cell SoC, active balancing, purpose built for LFP and made in Europe.
Learn more ↓SOFTWARE ENHANCED PERFORMANCEHardware-agnostic analytics that turn raw BMS telemetry into additional extractable energy and revenue.
Learn more ↓SineTech integrates the power conversion into the battery module BMS, eliminating the separate inverter. The distributed inverter architecture provides superior granularity of control and industry leading efficiency.
>99% one-way power conversion efficiency at nominal load. The distributed inverter architecture with low-voltage switching minimizes conversion losses.
SoC and SoH-based active balancing extracts up to 15% more usable energy over life, recovering capacity that conventional systems leave behind.
Fits most off-the-shelf BESS modules and replaces the conventional module BMS. Turns any DC block into a leading AC system without adding footprint.
The distributed inverter architecture means a single component fault does not bring down the entire rack. Bypass faulty components and continue operation with minimal capacity reduction.
SineStack is a fully integrated C&I battery energy storage system built on SineTech power conversion. 92% round-trip efficiency, 12,000 cycle lifetime, and 24x more granular control than conventional systems. Smallest footprint in its class, delivering 868 kWh from a single 2-hour AC block at 400 Vac 3-phase output.
Precise control of every module enables higher energy extraction per cycle. 92% round-trip efficiency combined with a 12,000 cycle lifetime drives down LCOS below any conventional system in its class.
Smallest footprint in its class, maximizing revenue per square meter. Fully integrated liquid cooling keeps noise below 60 dBA from 10m, reducing environmental impact and enabling deployment in noise-sensitive locations.
Distributed inverter architecture allows the system to continue operations at rated power even with a module in bypass. Infinitely scalable from one stack to thousands.
Designed and manufactured in the EU and powered by Rimac Energy’s Battery Intelligence Platform, RE BMS delivers 2% per-cell SoC accuracy and optionally integrates active balancing for enhanced energy extraction. Coupled SoC-SoH estimation maintains accuracy over the battery’s life, built on best-in-class precision ICs and industrial-grade MCUs.
On LFP’s flat voltage curve, 2% SoC accuracy significantly increases confidence in truly available energy. Coupled SoC-SoH co-estimation ensures accuracy throughout life.
Intelligent BMS across every layer - cell, module, rack and system. Derived from the SineTech platform, built for 1500 Vdc systems with integrated current sensing and redundancy for system-level safety.
Designed in Croatia and manufactured in Europe. Meets upcoming IAA regulation for European markets and FEOC requirements for US IRA incentives. No geopolitical supply chain risk.
Rimac Energy’s Battery Intelligence powers every data layer of your system, from advanced algorithms embedded in your BMS, to bespoke edge analytics, to AI-driven fleet optimization running in the cloud. One intelligence platform deployed wherever your data lives.
Industry-leading 2% SoC accuracy, correcting drift, adapting to ageing, and recovering energy most BESS systems leave inaccessible.
Bespoke edge algorithms including advanced coupled SoC – SoH estimation, applied to raw BMS telemetry, revealing the true state of every cell to right-size buffers, target maintenance, and present evidence to insurers and lenders.
AI-driven fleet optimization powering real-time operational intelligence, from degradation tracking and remaining useful life to predictive constraints that inform smarter dispatch and maintenance decisions.