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ACQUARONE, MATTEO

ACQUARONE, MATTEO  

Dipartimento Energia  

091237  

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Risultati 1 - 9 di 9 (tempo di esecuzione: 0.013 secondi).
Citazione Data di pubblicazione Autori File
Associations of Battery Cell Voltage Consistency with Driving Behavior of Real-world Electric Vehicles / Li, Shaopeng; Zhang, Hui; Ding, Naikan; Acquarone, Matteo; Miretti, Federico; Misul, Daniela Anna. - In: GREEN ENERGY AND INTELLIGENT TRANSPORTATION. - ISSN 2773-1537. - ELETTRONICO. - (In corso di stampa). [10.1016/j.geits.2024.100236] In corso di stampa Acquarone, MatteoMiretti, FedericoMisul, Daniela Anna + 1-s2.0-S2773153724000884-main.pdf
Battery temperature anomaly early warning for electric vehicles under real driving conditions using a temporal convolutional network / Li, Shaopeng; Zhang, Hui; Misul, Daniela Anna; Miretti, Federico; Acquarone, Matteo; Ding, Naikan; Ni, Dingan; Hou, Ninghao; He Yijun Zhang, Yanjie; Sun, Yifan. - In: ETRANSPORTATION (AMSTERDAM). - ISSN 2590-1168. - (2025). [10.1016/j.etran.2025.100445] 1-gen-2025 Daniela Anna MisulFederico MirettiMatteo Acquarone + 1-s2.0-S2590116825000529-main_compressed.pdf
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 + Domain knowledge guided machine learning framework for state of health estimation in Lithiumion batteries.pdf
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
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