The Future of Power Conversion and
Battery Management

Rimac Energy engineers the hardware, software, and intelligence that extract maximum performance from battery storage assets. Improving efficiency, usable energy, and lifetime.

SINETECH

Integrated power conversion and battery management platform

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.

SineTech power conversion cassette

>99% efficiency

>99% one-way power conversion efficiency at nominal load. The distributed inverter architecture with low-voltage switching minimizes conversion losses.

15% more energy

SoC and SoH-based active balancing extracts up to 15% more usable energy over life, recovering capacity that conventional systems leave behind.

Turns any DC block into an AC system

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.

Native redundancy

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

Engineered for exceptional
efficiency and lifetime

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.

SineStack integrated energy storage system

Lowest levelized cost of storage

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.

Compact and near-silent

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.

Inherent redundancy

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.

RE BMS

The most accurate BMS for grid-scale LFP

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.

RE BMS battery management unit — PCB with Rimac Energy logo

±2% per-cell SoC accuracy

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.

Grid-Scale Architecture

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.

EU-origin, FEOC clean

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.

BATTERY INTELLIGENCE

Best-in-Class Intelligence to increase the performance of any BESS

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.

Battery Intelligence analytics dashboard

Advanced State Detection

Industry-leading 2% SoC accuracy, correcting drift, adapting to ageing, and recovering energy most BESS systems leave inaccessible.

Insight Engine

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.

Deployable Cloud Analytics

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.

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