Maximizing e-Powertrain Efficiency: From Battery Systems to Drive Units
Powering the Future, Electrifying Mobility
Accelerating Innovation in e-Powertrain Systems
The global push toward cleaner mobility and reduced dependency on fossil fuels is driving a fast-paced transformation in the automotive industry. As electric and hybrid vehicles become mainstream, engineering teams are confronted with the growing complexity of integrating electrical systems within tight development cycles. From structural integrity to thermal management and electromagnetic performance, the design space has become vast and intricate. Simulation has emerged as a critical enabler in overcoming these challenges. DEP offers advanced modeling capabilities that streamline the development of EV/HEV powertrains, delivering optimized performance, improved efficiency, and reduced time to market.
Focus Area

Battery System
Battery system modeling and analysis
Cell level and stack level
Battery system modeling and correlation with bench tests and IR imaging
Battery characterization for degradation and performance prediction
Complete battery system modeling and performance prediction for thermal and safety
Battery thermal management/cooling system
Battery electrochemical thermal modeling
Battery CFD model

Motor Design & Analysis
System requirements
Motor design
Motor reverse engineering and Benchmarking
Motor electromagnetic performance
Motor durability
Motor thermal analysis
Motor acoustics
Math modeling and co-simulation

Integrated Drive Units
Modeling and structural analysis of complete drive unit
Subsystem-level modeling, analysis and optimization of gear train
Performance evaluation and optimization for parking system
Electro-magnetic and electro-mechanical aspects of motor
Weight reduction of the entire module
Services
Advanced simulations optimize the electromagnetic performance of electric motors and power electronics. This includes traction motor design, coupled control/circuit simulations, and performance evaluations to improve efficiency, reliability, and cost-effectiveness.












