Advanced Control for Automotive & Transportation
From ECU calibration to autonomous driving — MPC at every control layer.
Book a Discovery CallPhD APC/MPC · CERN · IAV · SkySails
Challenges
- Engine calibration tables with thousands of parameters — expensive and never truly optimal
- Electrification requires new energy management strategies
- ADAS path planning and obstacle avoidance under uncertainty
- Regulatory emissions constraints and drive cycle compliance
How We Help
Calibration-Efficient Engine MPC
Replace map-based ECU control with physics-based MPC — reducing calibration effort while improving fuel economy and emissions.
Energy Management for EVs/HEVs
Optimise battery SoC, regeneration, and thermal management across a prediction horizon.
Path Following & Contouring
Deploy MPCC for lane keeping, automated parking, and high-speed path tracking.
Relevant Design Patterns
Calibration-Efficient MPC — Replacing Parameter-Dense Control Architectures with Model-Based Design View pattern → Path Following & Contouring MPCC — Speed-Accuracy Trade-offs via Predictive Control View pattern → Obstacle Avoidance Under Uncertainty — Safe MPC with Imperfect Perception View pattern →
Book a Discovery Call
Let's discuss how model-predictive control can address your specific challenges. A 30-minute call is enough to assess feasibility.
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