Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

7/03 – “Hybrid electric vehicles”: ne parla Simona Onori della Stanford University

Giovedì 7 marzo, in aula B5  – Edificio Nuova Didattica della macroarea di Ingegneria, alle h. 16, la professoressa Simona Onori della Stanford University terrà un seminario dal titolo “Hybrid electric vehicles: energy management strategies and tools for optimal energy storage systems selection”. La prof. Onori, tra l’altro, ha conseguito il dottorato di ricerca in Computer Science and Control presso Ingegneria “Tor Vergata”.

Gli organizzatori dell’incontro, tra cui il prof Vincenzo Mulone, oltre a coinvolgere gli studenti di “Sistemi E Componenti Per La Conversione Dell’energia Da Fonti Rinnovabili” del corso di laurea in Ingegneria Energetica  invitano vivamente tutti gli interessati a partecipare.

 

abstract

 

Hybrid vehicles offer additional degrees of freedom in controlling the instantaneous torque delivered to the wheels due to their more complex powertrain architecture. This ‘content-rich’ architecture provides many opportunities to improve fuel economy and reduce emissions. Realistic figures of achieavable improvement in fuel economy in HEVs range from 10% for mild hybrids to more 30% for highly hybridized vehicles. This potential can be realized only with a sophisticated control system that optimizes energy flow within the vehicle. Adopting systematic model-optimization methods, using meaningful objective functions and optimal control tools to improve the energy management controller give a more formal framework to deal with such a problem.

In this talk, we will present developments and trends of control and optimization for supervisory controllers in hybrid electric vehicles using optimization tools and we also present solutions for the selection and sizing of energy storage technologies (either in a standalone or hybrid configuration).