Electric Drivetrain Modeling & Simulation Services

• Full drivetrain model — source, converter, machine, transmission, load
• Efficiency, thermal duty cycle, torque response, fault behavior
• Feasibility studies and requirement breakdown — from vehicle level to components
• Model delivered parametrized and documented

The model is built once and used across the studies your project needs. Your team runs it, modifies it, and extends it without us.

• PMSM (interior and surface-mounted)
• DC motors
• Induction machines (ASM)
• Synchronous reluctance machines (SynRM)

Models are built to the fidelity of the question — dq-frame with saturation and temperature-dependent parameters for PMSM, slip-dependent rotor parameters for induction, saliency behavior for SynRM. Where the machine doesn’t exist yet, parameters come from datasheets, FEA, or supplier data, with a clear note on what is measured and what is estimated.

• Averaged models for system studies
• Switching-level models for loss, EMI, and current ripple analysis — with dead time, modulation strategy, and DC-link dynamics included

We also match the converter to the machine. Switching frequency, current limits, voltage limit ellipse, and thermal derating of the power stage determine what the machine can deliver, and are included in the model.

• Field Oriented Control (FOC) / vector control
• Torque, speed, and power control loops
• Sensorless control techniques

Control algorithms are tested against the machine and converter models or using Hardware-in-the-loop (HIL) testing before they run on hardware — loop tuning, field weakening, and observer design included.

• Thermal model creation and parametrization
• S1/S3 duty cycles, rated and peak curves
• Steady-state and transient simulation
• Cooling path modeling for machine and converter
• Parametrization against measurement or FEA 

We build thermal models of the machine, the converter, and the cooling path, parametrized against measurement or FEA where data exists. The models cover continuous and peak operation, so the limits you see are the limits the hardware will hold.

• Motor loss determination — iron, copper, magnet, friction
• Proximity and skin effect in winding AC resistance
• Efficiency maps across torque, speed, and temperature
• Curve fitting and model optimization 

Loss models are parametrized against measurement and used to build efficiency maps under real operating conditions, not just at nominal temperature. The maps feed directly into the system model, so efficiency figures stay consistent across studies.

• Rotor and stator temperature derating
• Inverter coolant temperature derating
• HV AC/DC current (I²t) derating
• IGBT temperature delta derating
• Inverter PWM frequency and NTC temperature derating

Derating functions are modeled as part of the control and thermal models, so the limits you see in simulation are the limits the hardware will enforce.

• MIL, SIL, and HIL workflows
• Functional safety (FuSA)-compliant software
• Software/component level requirement breakdown
• Unit, integration, and validation tests
• Software project management

Software is developed against the same models used for system simulation, so control logic, safety functions, and plant behavior stay aligned through the development cycle.

• Supplier sourcing and prototype purchasing
• RFI and RFQ process organization and review
• Feasibility review of third-party designs
• Prototype manufacturing coordination

We support the sourcing side of the project, from identifying suppliers to reviewing what they deliver against your requirements.

• CAD design and drawing creation of motor components
• Mechanical integration into the overall system
• Stress analysis — FEM calculations
• Project management, product owner, scrum master support

CAD, FEM, CFD, and project management sit alongside the modeling team, so mechanical and system-level decisions are made on the same data as the simulation.

• Test bench support — Sample A/B/C/D, prototype, and type testing
• Design Validation Plans
• Correlation of simulation results against measured data
• Compliance with ISO 26262, DO-160, DO-178C, IEC 60034-18

Validation closes the loop between model and hardware. Where measurements diverge from simulation, the model is refined until the two agree.