Optimisation of Speed Trajectories to Improve the Energy Economy of Electric Vehicles

Optimisation of Speed Trajectories to Improve the Energy Economy of Electric Vehicles

Goyal, Tushar (TU Delft Mechanical, Maritime and Materials Engineering)

Ferranti, L. (mentor)
Salazar Villalon, Mauro (mentor)
van Keulen, Thijs (mentor)
Shyrokau, B. (graduation committee)

Delft University of Technology

Mechanical Engineering | Vehicle Engineering

2022-07-08

Electric vehicles are a cleaner and more efficient means of transport. However, the sub-energy-optimal acceleration and deceleration inputs of drivers result in speed trajectories that cause superfluous expenditure of the stored electrical energy in battery. Optimising the speed trajectories to minimise the consumption of stored energy is a potential strategy for the efficient operation of electric vehicles. In this thesis, we propose a numerical solution to the eco-driving problem by optimising the speed trajectories via Pontryagin’s Minimum Principle. The solution is robust to the vehicle parameters and the driving conditions, and is used to generate energy-aware driving advice for near-straight line driving manoeuvres. In the end, we test the global optimality of the speed trajectories by convexification of the problem.

Speed trajectory optimisation
Eco-driving
Pontryagin’s minimum principle
Convex optimisation

http://resolver.tudelft.nl/uuid:9fcc5fd7-2ec5-4c1f-b16c-f7e02c232866

Student theses

master thesis

© 2022 Tushar Goyal