eVehicle Operating Systems Enabling Adaptive, Intelligent, and Predictive Architectures for Next Gen Electric Mobility
The Electra EV eVehicle OS is an emerging one-of-its-kind digital foundation for EV powertrains, combining adaptive intelligence, predictive control, and edge computing to redefine how electric vehicles think and perform. It enables real-time individualisation based on driving style, terrain, and load conditions. At the same time, its intelligent onboard energy management system continuously optimises power flow for superior efficiency and range. Built on a future-ready, standardised, and cost-effective computational architecture, the OS integrates digital twin–based prognosis for accurate system health insights and predictive maintenance. Designed to minimise cloud dependency and accelerate response times, the Electra EV eVehicle OS is more than a control platform—it is the intelligent core driving the next generation of software-defined, data-driven electric mobility.
Our pathbreaking Edge AI-enabled ePowertrain OS integrates iBMS, our own battery management system with other industry-leading VCU and MCU systems, supporting full EV programs with ease while adhering to ISO 26262 functional safety standards and delivering unified control over traction, braking, energy recovery, and auxiliary loads, enabling precise coordination between vehicle subsystems for optimised range, safety, and performance.
Designed for scalability across e2W, e3W, eLCV, eBus, eTruck, and off-highway platforms, it transforms electric mobility through real-time adaptability, neural prognosis, and deterministic safety.
Our algorithms are validated through Model-, Software-, and Hardware-in-the-Loop (MIL/SIL/HIL) simulations, powered by advanced software and platforms such as MATLAB/Simulink, TensorFlow, OPAL-RT, Comemso ETAS INCA, Vector CANoe, and Ansys Medini AVL PUMA. Built on a multi-core lockstep design with ARM R/M processors and ASIC-based neural engines, the OS supports real-time digital twins, predictive thermal management, and onboard edge computing, significantly reducing cloud dependency and enabling instantaneous decision-making even in bandwidth-limited environments.
Our algorithms are validated through Model-, Software-, and Hardware-in-the-Loop (MIL/SIL/HIL) simulations, powered by advanced software and platforms such as MATLAB/Simulink, TensorFlow, OPAL-RT, Comemso ETAS INCA, Vector CANoe, and Ansys Medini AVL PUMA. Built on a multi-core lockstep design with ARM R/M processors and ASIC-based neural engines, the OS supports real-time digital twins, predictive thermal management, and onboard edge computing, significantly reducing cloud dependency and enabling instantaneous decision-making even in bandwidth-limited environments.
With our eVehicle Operating System now delivering stellar results for EVs sold in India and overseas, we continue to learn from millions of data points across powertrain, battery, and driver profiles to refine performance, durability, and safety.
Our ePowertrain OS embodies our mission to make mobility not just electric, but also intelligent, efficient, and truly adaptable to every journey, driver, and terrain.
Our ePowertrain OS embodies our mission to make mobility not just electric, but also intelligent, efficient, and truly adaptable to every journey, driver, and terrain.