AI-powered Battery and BESS Engineering

AI helps engineers analyze simulation and test data, identify optimal design parameters, predict battery performance, and automate complex engineering workflows. Combined with a battery digital twin, AI enables faster design iterations, earlier insights, reduced physical testing, and more informed decisions from cell chemistry through pack and system development.

Simulate battery performance with a comprehensive digital twin that integrates chemistry, thermal, electrical, mechanical, and software behavior. Validate designs virtually, optimize performance, reduce physical prototypes, and accelerate EV and BESS innovation with confidence.

The most effective battery engineering software tools connect electrochemical, electrical, thermal, mechanical, and software domains within a unified digital twin. This enables engineers to simulate, validate, and optimize battery performance virtually, reduce physical testing, improve collaboration across disciplines, and accelerate development from concept to release.

You can leverage a comprehensive digital twin from Siemens Digital Industry Software to optimize battery design from cell to pack. This allows engineers to simulate and test various design iterations in a virtual environment, optimizing performance, thermal management, and structural integrity without extensive physical prototyping. You can validate designs early using model-based simulations, reducing time-to-market and costs. Moreover, a cross-domain collaboration environment integrates chemistry, mechanical, and software teams to ensure seamless design coordination. Finally, our requirement driven product development solutions help balance critical factors such as safety, energy density, and manufacturability faster and with complete traceability.

A battery management system (BMS) continuously monitors performance, balances cell voltages, and ensures the battery stays within its safety limits. With Siemens’ end-to-end connected workflow, collaboration across cell engineers, control algorithm developers, and embedded software engineers is streamlined. The approach leverages system simulation to validate BMS behaviour at all stage of the development. Moreover, the software development process is following best practices which ensure ISO26262, autosar and cybersecurity compliance. This integrated and model-based approach accelerates defect-free development and secure validation of BMS software, ensuring faster, reliable results while meeting safety, security and performance standards.

Siemens’ Simcenter portfolio offers advanced simulation tools that accurately predict and optimize the thermal management of EV batteries. By modelling the interaction of thermal, electrical, and mechanical subsystems, Simcenter helps ensure that batteries operate within safe temperature ranges, preventing overheating and thermal runaway. Simcenter's integration with CFD technologies enables precise analysis of cooling strategies and energy efficiency, ensuring enhanced performance, longer battery life, and overall vehicle safety under real-world conditions.