
Docente esterno e/o collaboratore didattico
Department of Mechanical and Aerospace Engineering (DIMEAS)
PhD Student in Ingegneria Meccanica , 35th cycle (2019-2022)
Department of Mechanical and Aerospace Engineering (DIMEAS)
Profile
PhD
Thesis title
Estimating State of Charge and State of Health of Vehicle Battery Energy Storage Systems for On-Road and Second-Life Applications
Tutors
Awards and Honors
Teaching
Teachings
Master of Science
- Dynamic design of machines. A.A. 2022/23, INGEGNERIA MECCANICA (MECHANICAL ENGINEERING). Collaboratore del corso
- Challenge@PoliTo by Firms - CASE. A.A. 2020/21, AUTOMOTIVE ENGINEERING (INGEGNERIA DELL'AUTOVEICOLO). Collaboratore del corso
- Challenge@PoliTo by Students - New Opportunities from Autonomous and Connected Mobility. A.A. 2020/21, AUTOMOTIVE ENGINEERING (INGEGNERIA DELL'AUTOVEICOLO). Collaboratore del corso
Research
Research groups
Publications
PoliTO co-authors
Last years publications
Publications by type
Latest publications View all publications in Porto@Iris
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Anselma, PIER GIUSEPPE; Luciani, Sara; Tonoli, Andrea (2022)
Predictive Control Framework for Thermal Management of Automotive Fuel Cell Systems at High Ambient Temperatures. In: 10th IFAC Symposium on Advances in Automotive Control AAC 2022, Columbus, OH, USA, 29-31 August 2022, pp. 298-303
Contributo in Atti di Convegno (Proceeding) -
Anselma, Pier Giuseppe; Luciani, Sara; Tonoli, Andrea (2022)
Making the Case for Predictive Thermal Management of Fuel Cell Systems for Electrified Vehicles. In: 2022 IEEE Transportation Electrification Conference & Expo (ITEC), Anaheim, CA, USA, 15-17 June 2022, pp. 255-260. ISBN: 978-1-6654-0560-7
Contributo in Atti di Convegno (Proceeding) - Luciani, Sara; Anselma, Pier Giuseppe; Silvagni, Mario; Bonfitto, Angelo; Tonoli, Andrea (2022)
Enabling Rapid State of Health Offline Estimation of a 48V Lithium-Ion Battery Pack. In: IEEE Conference on Vehicle Power and Propulsion (VPPC), Merced, CA, USA, 01-04 November 2022, pp. 1-6. ISBN: 978-1-6654-7587-7
Contributo in Atti di Convegno (Proceeding) - Luciani, Sara; Feraco, Stefano; Silvagni, Mario; Bonfitto, Angelo; Amati, Nicola; ... (2022)
Assessment of State of Charge Estimation Methods Based on Neural Networks and Support Vector Machine for Lithium-Ion Batteries Used in Vehicular Applications. In: ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, St. Louis, Missouri, USA, 14-17 August, 2022. ISBN: 978-0-7918-8620-5
Contributo in Atti di Convegno (Proceeding) - Luciani, Sara; Feraco, Stefano; Bonfitto, Angelo; Amati, Nicola; Tonoli, Andrea; ... (2022)
Artificial Intelligence Based State of Health Estimation With Short-Term Current Profile in Lead-Acid Batteries for Heavy-Duty Vehicles. In: ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, St.Louis, Missouri, USA, 14-17 August, 2022. ISBN: 978-0-7918-8620-5
Contributo in Atti di Convegno (Proceeding)
Society and Enterprise
Patents and other intellectual properties
- METODO E SISTEMA PER STIMARE LO STATO DI SALUTE (SOH) DI UNA BATTERIA DI UN VEICOLO. national Patent