Denise Rizzo

TL;DR: Simulation results show that adopting a hybrid energy storage system reduces fuel consumption by 13% compared to the case of battery-only hybridized powertrain, and Pontryagin’s minimum principle is adopted as the energy management strategy in a forward-looking vehicle simulator.

TL;DR: Numerical results show that the electric motor temperature is maintained at approximately the target value of 70 °C and up to approximately 370 kJ of energy is saved as compared to a conventional liquid cooling system for a specific 85 kW e-motor within 1500 s run time.

TL;DR: The results from Pontriagyn’s Minimum Principle analysis reveal that the co-optimization can be formulated with one discrete variable describing vehicle operation and another continuous variable for power distribution to reduce computation in implementing Dynamic Programming.

TL;DR: Improved accuracy of path energy cost predictions against a baseline approach is demonstrated, as well as the effect of Gaussian process inputs and kernel choice, and how vehicle modeling can aid in predicting energy costs, particularly when data on the environment is sparse.

TL;DR: This paper presents a study of the energy-efficient operation of all-electric vehicles leveraging route information, such as road grade, to adjust the velocity trajectory using Pontryagin's maximum principle to achieve minimum energy consumption.