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ACQUARONE, MATTEO

ACQUARONE, MATTEO  

Dipartimento Energia  

091237  

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Risultati 1 - 11 di 11 (tempo di esecuzione: 0.019 secondi).
Citazione Data di pubblicazione Autori File
Domain knowledge-guided machine learning framework for state of health estimation in Lithium-ion batteries / Lanubile, Andrea; Bosoni, Pietro; Pozzato, Gabriele; Allam, Anirudh; Acquarone, Matteo; Onori, Simona. - In: COMMUNICATIONS ENGINEERING. - ISSN 2731-3395. - 3:1(2024). [10.1038/s44172-024-00304-2] 1-gen-2024 Acquarone, Matteo + -
Exergy Management Strategies for Hybrid Electric Ground Vehicles: A Dynamic Programming Solution / Acquarone, M.; Pozzato, G.; James, C.; Onori, S.. - In: JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT AND CONTROL. - ISSN 0022-0434. - 146:3(2024). [10.1115/1.4063610] 1-gen-2024 Acquarone M. + ds_146_03_031004.pdf
Online Temperature-aware Equivalent Consumption Minimization Strategy for Mild Hybrid Electric Powertrains / Acquarone, Matteo; Miretti, Federico; Anselma, Pier Giuseppe; Misul, Daniela Anna. - In: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY. - ISSN 0018-9545. - ELETTRONICO. - (2024). [10.1109/tvt.2024.3355181] 1-gen-2024 Acquarone, MatteoMiretti, FedericoAnselma, Pier GiuseppeMisul, Daniela Anna Online_Temperature-Aware_Equivalent_Consumption_Minimization_Strategy_for_Mild_Hybrid_Electric_Powertrains.pdf
Regression based battery state of health estimation for multiple electric vehicle fast charging protocols / Acquarone, Matteo; Miretti, Federico; Giuliacci, Tiziano Alberto; Duque, Josimar; Misul, Daniela Anna; Kollmeyer, Phillip. - In: JOURNAL OF POWER SOURCES. - ISSN 0378-7753. - ELETTRONICO. - 624:(2024). [10.1016/j.jpowsour.2024.235601] 1-gen-2024 Acquarone, MatteoMiretti, FedericoGiuliacci, Tiziano AlbertoMisul, Daniela Anna + 1-s2.0-S0378775324015532-main.pdf
Safe Reinforcement Learning for Energy Management of Electrified Vehicle with Novel Physics-Informed Exploration Strategy / Biswas, Atriya; Acquarone, Matteo; Wang, Hao; Miretti, Federico; Misul, Daniela Anna; Emadi, Ali. - In: IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION. - ISSN 2332-7782. - ELETTRONICO. - (2024). [10.1109/tte.2024.3361462] 1-gen-2024 Acquarone, MatteoMiretti, FedericoMisul, Daniela Anna + Safe_Reinforcement_Learning_for_Energy_Management_of_Electrified_Vehicle_with_Novel_Physics-Informed_Exploration_Strategy.pdf
Sleek dual Extended Kalman Filter for Battery State of Charge and State of Health Estimation in Electric Vehicle Applications / Acquarone, Matteo; Miretti, Federico; Misul, Daniela. - (2024). (Intervento presentato al convegno Conference on Sustainable Mobility – CSM2024 tenutosi a Catania, Italia nel 18th-20th September 2024) [10.4271/2024-24-0023]. 1-gen-2024 Matteo AcquaroneFederico MirettiDaniela Misul 2024-24-0023.pdf
Battery Electric Vehicle Control Strategy for String Stability based on Deep Reinforcement Learning in V2V Driving / Borneo, Angelo; Miretti, Federico; Acquarone, Matteo; Misul, Daniela. - In: SAE TECHNICAL PAPER. - ISSN 0148-7191. - ELETTRONICO. - (2023), pp. 1-7. (Intervento presentato al convegno 16th International Conference on Engines & Vehicles tenutosi a Capri, Italy nel September 10th - 14th, 2023) [10.4271/2023-24-0173]. 1-gen-2023 Borneo, AngeloMiretti, FedericoAcquarone, MatteoMisul, Daniela BEV_CACC_RL.pdf; Borneo et al_2023_Battery Electric Vehicle Control Strategy for String Stability based on Deep.pdf
Cooperative Adaptive Cruise Control Based on Reinforcement Learning for Heavy-Duty BEVs / Acquarone, Matteo; Miretti, Federico; Misul, Daniela; Sassara, Luca. - In: IEEE ACCESS. - ISSN 2169-3536. - ELETTRONICO. - 11:(2023), pp. 127145-127156. [10.1109/ACCESS.2023.3331827] 1-gen-2023 MATTEO ACQUARONEFEDERICO MIRETTIDANIELA MISUL + Cooperative_Adaptive_Cruise_Control_Based_on_Reinforcement_Learning_for_Heavy-Duty_BEVs.pdf
Influence of the Reward Function on the Selection of Reinforcement Learning Agents for Hybrid Electric Vehicles Real-Time Control / Acquarone, Matteo; Maino, Claudio; Misul, DANIELA ANNA; Spessa, Ezio; Mastropietro, Antonio; Sorrentino, Luca; Busto, Enrico. - In: ENERGIES. - ISSN 1996-1073. - ELETTRONICO. - 16:6(2023), p. 2749. [10.3390/en16062749] 1-gen-2023 Matteo AcquaroneClaudio MainoDaniela MisulEzio SpessaAntonio MastropietroLuca Sorrentino + Influence of the Reward Function on the Selection of.pdf
Acceleration control strategy for Battery Electric Vehicle based on Deep Reinforcement Learning in V2V driving / Acquarone, Matteo; Borneo, Angelo; Misul, Daniela Anna. - ELETTRONICO. - (2022), pp. 202-207. (Intervento presentato al convegno 2022 IEEE Transportation Electrification Conference and Expo, ITEC 2022 tenutosi a Anaheim, CA, USA nel 15-17 June 2022) [10.1109/ITEC53557.2022.9813785]. 1-gen-2022 Acquarone, MatteoBorneo, AngeloMisul, Daniela Anna Acceleration_control_strategy_for_Battery_Electric_Vehicle_based_on_Deep_Reinforcement_Learning_in_V2V_driving.pdf; Acceleration_control_strategy_for_Battery_Electric_Vehicle_based_on_Deep_Reinforcement_Learning_in_V2V_driving_.pdf
Battery temperature aware equivalent consumption minimization strategy for mild hybrid electric vehicle powertrains / Acquarone, Matteo; Anselma, Pier Giuseppe; Miretti, Federico; Misul, Daniela. - ELETTRONICO. - (2022), pp. 1-6. (Intervento presentato al convegno 2022 IEEE Vehicle Power and Propulsion Conference (VPPC) tenutosi a Merced (USA) nel 01-04 November 2022) [10.1109/VPPC55846.2022.10003225]. 1-gen-2022 Acquarone, MatteoAnselma, Pier GiuseppeMiretti, FedericoMisul, Daniela Battery_temperature_aware_equivalent_consumption_minimization_strategy_for_mild_hybrid_electric_vehicle_powertrains.pdf; 2022001830.pdf