Our Technology
We engineer and supply a seamlessly integrated electrified system. We specialize in hyper-fast charging batteries and an end-to-end software-defined vehicle platform.
TechPack
TechPack Numbers
Charging Time
TechPack's core systems are engineered to achieve sub-10 minute charging, more than 1500 cycles and flexibility to deploy across multiple segments (auto, marine, air).
Power
TechPack sustains a 4C continuous discharge rate and over 10C peak discharge rate.
Unique liquid cooled architecture and optimized software logic allows for the most power dense battery on earth.
Energy
Brelle's battery stack accommodates a range of series or parallel cell configurations - allowing for battery packs ranging from 2kWh up to 300kWh.
TechPack's battery has a specific energy of 300Wh/kg - the most energy dense on the market.
Configuration
Brelle's battery pack architecture and Battery Management System (BMS) allows for a flexible system voltage, ranging from 50V up to 800V.
Software
01
Platform
Software Defined Vehicles (SDV) - cars, boats, airplanes - rely on a robust embedded system architecture.
Our embedded platform is built for seamless adaptability across industries, featuring Over-the-Air updates, remote diagnostics, and more. Customers get a fully functional base platform that their engineering teams can easily and safely customize.
02
Operating System
Brelle's automotive-grade operating system is designed to meet rigorous automotive functional safety standards, integrated into an automated test and release infrastructure .
Brelle provides a software framework to OEMs/customers with the goal of reducing software deployment time by 10x, providing higher flexibility to deliver customer-facing features and reduce dependency on legacy suppliers.
03
Machine Learning
We leverage Machine Learning (ML) to accelerate the software development and validation process.
Today, our team uses ML to continuously learn from our codebase, enhance safety, and improve test coverage. As a core component of the Brelle embedded platform, ML significantly reduces software deployment time for OEMs.