Electric mobility · Collaborative R&D
Early-stage vehicle autonomy analysis connecting driving profiles, energy use, propulsion choices and preliminary mechanical design for intelligent-factory mobility.
At a glance
Context
Electric industrial mobility
My focus
Range analysis and preliminary vehicle design
Tools
C, MATLAB, route data and vehicle modelling
The project
e-MOBOTS was a collaborative research programme for electric mobility in the intelligent factory. Its public scope included autonomous guided vehicles for industrial logistics and an electric shuttle for movement between production sites.
The engineering question
Vehicle range depends on the interaction between mass, battery capacity, transmission, motor efficiency and the real driving cycle. Treating autonomy only after the main architecture has been selected can create expensive design iterations.
My contribution
- Develop a case-specific calculation algorithm for vehicle range and energy use.
- Use the analysis to inform preliminary choices such as chassis and battery sizing.
- Contribute to preliminary functional and mechanical transmission design.
- Develop a C workflow for generating speed profiles from route information.
Why it matters
Bringing autonomy into the earliest design phase creates a clearer link between a vehicle’s intended route and its propulsion architecture. The work connects simulation, mechanical design and software rather than treating them as separate decisions.
Public references
- e-MOBOTS research project — official TEKNE project description.
- A Simplified Procedure for Electric-Motor Selection for Land Vehicles — related engineering publication, Machines, 2023.
The illustration above is an original conceptual graphic and does not depict a specific e-MOBOTS production vehicle.