Ph.D. in Ingegneria Meccanica , 34th cycle (2018-2021)
Ph.D. obtained in 2022
Dissertation:
Battery States Monitoring and its Application in Energy Optimization of Hybrid Electric Vehicles (Abstract)
Tutors:
Andrea Tonoli Angelo BonfittoPublications
Works published during the Ph.D. View all publications in Porto@Iris
- Ezemobi, ETHELBERT NWABUGWU (2022)
Battery States Monitoring and its Application in Energy Optimization of Hybrid Electric Vehicles. relatore: TONOLI, ANDREA; BONFITTO, ANGELO; , 34. XXXIV Ciclo, P.: 99
Doctoral Thesis - Yakhshilikova, Gulnora; Ruzimov, Sanjarbek; Ezemobi, ETHELBERT NWABUGWU; Tonoli, Andrea; ... (2022)
Development of Optimization Based Control Strategy for P2 Hybrid Electric Vehicle including Transient Characteristics of Engine. In: APPLIED SCIENCES, vol. 12. ISSN 2076-3417
Contributo su Rivista - Yakhshilikova, Gulnora; Ezemobi, Ethelbert; Ruzimov, Sanjarbek; Tonoli, Andrea (2022)
Battery Sizing for Mild P2 HEVs Considering the Battery Pack Thermal Limitations. In: APPLIED SCIENCES, vol. 12. ISSN 2076-3417
Contributo su Rivista - Ezemobi, ETHELBERT NWABUGWU; Yakhshilikova, Gulnora; Ruzimov, Sanjarbek; CASTELLANOS ... (2022)
Adaptive Model Predictive Control Including Battery Thermal Limitations for Fuel Consumption Reduction in P2 Hybrid Electric Vehicles. In: WORLD ELECTRIC VEHICLE JOURNAL. ISSN 2032-6653
Contributo su Rivista - Ezemobi, E.; Silvagni, M.; Mozaffari, A.; Tonoli, A.; Khajepour, A. (2022)
State of Health Estimation of Lithium‐Ion Batteries in Electric Vehicles under Dynamic Load Conditions. In: ENERGIES, vol. 15. ISSN 1996-1073
Contributo su Rivista - Ezemobi, E.; Tonoli, A.; Silvagni, M. (2021)
Battery state of health estimation with improved generalization using parallel layer extreme learning machine. In: ENERGIES, vol. 14. ISSN 1996-1073
Contributo su Rivista - Ezemobi, ETHELBERT NWABUGWU; Ruzimov, Sanjarbek; Bonfitto, Angelo; Tonoli, Andrea; ... (2020)
Energy Savings From Electrification of Cooling System. In: ASME - 22nd International Conference on Advanced Vehicle Technologies (AVT), Virtual, 17-19/08/2020. ISBN: 978-0-7918-8393-8
Contributo in Atti di Convegno (Proceeding) - Bonfitto, Angelo; Ezemobi, ETHELBERT NWABUGWU; Amati, Nicola; Feraco, Stefano; Tonoli, ... (2019)
State of Health Estimation of Lithium Batteries for Automotive Applications with Artificial Neural Networks. In: 2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE), Torino, pp. 1-5. ISBN: 978-8-8872-3743-6
Contributo in Atti di Convegno (Proceeding)