Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Joao P. Trovao"'
Publikováno v:
IEEE Transactions on Energy Conversion. :1-13
Autor:
Joao P. Trovao
Publikováno v:
IEEE Vehicular Technology Magazine. 17:113-120
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:7963-7973
Since a proton exchange membrane (PEM) fuel cell (FC) has time-varying characteristics, its online characteristics estimation (voltage, power, internal resistance, etc.) is becoming a key step in designing an energy management strategy (EMS) for hybr
Autor:
Joao P. Trovao
Publikováno v:
IEEE Vehicular Technology Magazine. 17:98-107
Publikováno v:
IEEE Transactions on Transportation Electrification. 7:2224-2237
Evaluating performances of real-time strategies for hybrid energy storage systems (HESSs) of electric vehicles (EVs) always requires optimal energy management strategies (EMSs) as offline benchmarks. Dynamic programming (DP) is well-known due to its
Publikováno v:
2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS).
Three-Wheel Fuel Cell Hybrid Vehicle with a High-Performance Active Switched Quasi-Z-Source Inverter
Publikováno v:
2022 IEEE Vehicle Power and Propulsion Conference (VPPC).
Autor:
Philippe Camail, Christian Martin, Bruno Allard, Charles Joubert, Maxime Darnon, Joao P. Trovao
Publikováno v:
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society.
Publikováno v:
IEEE Transactions on Transportation Electrification. 7:1173-1185
To minimize battery aging of electric vehicles (EVs), it is paramount to manage efficiently their energy consumption. An energy management strategy (EMS) has recently been developed, where batteries and supercapacitors (SCs) are coordinated as a func
Autor:
Joao P. Trovao
Publikováno v:
IEEE Vehicular Technology Magazine. 16:153-161
Reports on the events and activities to take place during the IEEE VTS Motor Vehicles Challenge which will focus on combining energy management and component sizing multiobjective optimization problems for a multisource EV (see Figure 2). The partici