An energy optimized torque controller for the powertrain of an energy limited electric Formula Student car. Limited battery capacity within electric race car designs necessitates energy management solutions in order to minimize total race time while simultaneously controlling and managing overall energy consumption in order to finish the race. An energy managing torque control algorithm was developed in order to use the finite onboard energy in a manner that optimized lap time performance and decreased energy consumption when energy deficits occurred. A single Simulink based MPC controller architecture that balanced energy use requirements with optimum lap time was created. This controller was then tested against a hardware limited system as well as a torque limited system in a constant torque request and varying torque request scenario. The controller provided an average 12.5% increase in average speed over the torque limited solution.

P3-06 Optimizing Torque Delivery for an Energy Limited Electric Race Car Using Model Predictive Control

Reducing emissions from the transportation sector is one of the fastest ways to combat climate change. 

Electrifying mobility is propelling new technologies, empowering consumers to take concrete action and is demanding politicians to take swift and concrete action.

What will the future of electric mobility look like? And what are the biggest challenges for realizing zero emission transport on the road, at sea and in the air? 

The 13th-15th June, people from all over the world will travel to Oslo, the world’s leading player in electric transport, to participate in this year’s biggest EV conference.