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Matlab simulink
We build high-fidelity virtual models of vehicles and subsystems that replicate real-world behavior. Digital twins allow continuous improvement, rapid prototyping, and fast validation without physical prototypes. They also serve as the base for predictive maintenance and automated testing.
Model based controls development
Simulation of brake force distribution, stopping distance, regenerative braking efficiency, and brake fade. We optimize the blend between friction brakes and regenerative systems to maximize safety and energy recovery.
Digital Twin
We analyze essential KPIs including torque response, acceleration, energy efficiency, reliability, noise, and fail-safe behavior. This helps determine the robustness and readiness of the vehicle system.
Hardware in the Loop
We simulate battery performance under different driving styles, temperatures, and load patterns. This includes degradation modeling, charge/discharge cycles, and thermal conditions. The result is long-term life prediction and optimization of battery usage.
Electrification
We evaluate noise and vibration sources in the drivetrain and chassis. This improves vehicle comfort, component durability, and customer satisfaction.