Year: 2019
Type: dissertation
Abstract: Battery degradation reduces the performance and lifetime of electric vehicles (EVs). Us- ing energy storage devices with dierent characteristics alongside the battery can mini- mize degradation while ensuring that the storage system is always able to satisfy driving demands. However, this introduces the additional complexity of designing the devices and controlling them in real-time. In this thesis, we rst provide a computationally tractable method to optimally manage power sharing between dual energy storages using approximate linear programming (ALP). We furthermore propose a problem to deter- mine the optimal sizes of the two storages that allows a trade-o between vehicle range and other costs associated with increased storage size. We validate our approaches on a real EV design. Numerical results show that our energy management controller allows for optimal power-sharing with tunable approximation in the number of basis vectors of the ALP, and that our sizing procedure provides a design with locally minimal cost.
Source: TSpace (University of Toronto)
Author: Alok Deshpande
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3049198883