LUCIANI, SARA

LUCIANI, SARA  

Dipartimento di Ingegneria Meccanica e Aerospaziale  

049885  

Mostra records
Risultati 1 - 11 di 11 (tempo di esecuzione: 0.026 secondi).
Citazione Data di pubblicazione Autori File
Off-Board Testing Device for Battery Diagnostics and Market Analysis for Battery Reuse / Ponso, Alberto; Bonfitto, Angelo; Silvagni, Mario; Luciani, Sara. - ELETTRONICO. - 1:(2023). (Intervento presentato al convegno ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference tenutosi a Boston (USA) nel August 20-23 2023) [10.1115/detc2023-116596]. 1-gen-2023 Ponso, AlbertoBonfitto, AngeloSilvagni, MarioLuciani, Sara -
Artificial Intelligence Based State of Health Estimation With Short-Term Current Profile in Lead-Acid Batteries for Heavy-Duty Vehicles / Luciani, Sara; Feraco, Stefano; Bonfitto, Angelo; Amati, Nicola; Tonoli, Andrea; Quaggiotto, Maurizio. - ELETTRONICO. - (2022). (Intervento presentato al convegno ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference tenutosi a St.Louis, Missouri, USA nel 14-17 August, 2022) [10.1115/DETC2022-89512]. 1-gen-2022 Luciani, SaraFeraco, StefanoBonfitto, AngeloAmati, NicolaTonoli, Andrea + v001t01a015-detc2022-89512.pdf
Assessment of State of Charge Estimation Methods Based on Neural Networks and Support Vector Machine for Lithium-Ion Batteries Used in Vehicular Applications / Luciani, Sara; Feraco, Stefano; Silvagni, Mario; Bonfitto, Angelo; Amati, Nicola; Tonoli, Andrea. - ELETTRONICO. - (2022). (Intervento presentato al convegno ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference tenutosi a St. Louis, Missouri, USA nel 14-17 August, 2022) [10.1115/DETC2022-89454]. 1-gen-2022 Luciani, SaraFeraco, StefanoSilvagni, MarioBonfitto, AngeloAmati, NicolaTonoli, Andrea v001t01a014-detc2022-89454.pdf
Enabling Rapid State of Health Offline Estimation of a 48V Lithium-Ion Battery Pack / Luciani, Sara; Anselma, Pier Giuseppe; Silvagni, Mario; Bonfitto, Angelo; Tonoli, Andrea. - (2022), pp. 1-6. (Intervento presentato al convegno IEEE Conference on Vehicle Power and Propulsion (VPPC) tenutosi a Merced, CA, USA nel 01-04 November 2022) [10.1109/VPPC55846.2022.10003395]. 1-gen-2022 Luciani, SaraAnselma, Pier GiuseppeSilvagni, MarioBonfitto, AngeloTonoli, Andrea Enabling_Rapid_State_of_Health_Offline_Estimation_of_a_48V_Lithium-Ion_Battery_Pack.pdf
Making the Case for Predictive Thermal Management of Fuel Cell Systems for Electrified Vehicles / Anselma, Pier Giuseppe; Luciani, Sara; Tonoli, Andrea. - STAMPA. - (2022), pp. 255-260. (Intervento presentato al convegno 2022 IEEE Transportation Electrification Conference & Expo (ITEC) tenutosi a Anaheim, CA, USA nel 15-17 June 2022) [10.1109/ITEC53557.2022.9813949]. 1-gen-2022 Anselma, Pier GiuseppeLuciani, SaraTonoli, Andrea Anselma_Luciani_Tonoli_ITEC22_published_paper.pdfAnselma_Luciani_Tonoli_ITEC22_accepted_paper.pdf
Predictive Control Framework for Thermal Management of Automotive Fuel Cell Systems at High Ambient Temperatures / Anselma, PIER GIUSEPPE; Luciani, Sara; Tonoli, Andrea. - 55:(2022), pp. 298-303. (Intervento presentato al convegno 10th IFAC Symposium on Advances in Automotive Control AAC 2022 tenutosi a Columbus, OH, USA nel 29-31 August 2022) [10.1016/j.ifacol.2022.10.300]. 1-gen-2022 Pier Giuseppe AnselmaSara LucianiAndrea Tonoli 1-s2.0-S2405896322023321-main.pdf
A local trajectory planning and control method for autonomous vehicles based on the RRT algorithm / Feraco, Stefano; Luciani, Sara; Bonfitto, Angelo; Amati, Nicola; Tonoli, Andrea. - (2021), pp. 1-6. (Intervento presentato al convegno 2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) nel 18-20 Novembre, 2020). 1-gen-2021 Feraco, StefanoLuciani, SaraBonfitto, AngeloAmati, NicolaTonoli, Andrea 09307439.pdfA local trajectory planning and control method for autonomous vehicles based on the Rapidly-exploring Random Tree algorithm.pdf
A Machine Learning Method for State of Charge Estimation in Lead-Acid Batteries for Heavy-Duty Vehicles / Luciani, Sara; Feraco, Stefano; Bonfitto, Angelo; Tonoli, Andrea; Amati, Nicola; Quaggiotto, Maurizio. - (2021). (Intervento presentato al convegno ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference) [10.1115/DETC2021-68469]. 1-gen-2021 Luciani, SaraFeraco, StefanoBonfitto, AngeloTonoli, AndreaAmati, Nicola + A Machine Learning Method For State Of Charge Estimation In Lead-Acid Batteries For Heavy-Duty Vehicles.pdf
Local Trajectory Planning for Autonomous Racing Vehicles Based on the Rapidly-Exploring Random Tree Algorithm / Tramacere, Eugenio; Luciani, Sara; Feraco, Stefano; Circosta, Salvatore; Khan, Irfan; Bonfitto, Angelo; Amati, Nicola. - (2021). (Intervento presentato al convegno ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference) [10.1115/DETC2021-67434]. 1-gen-2021 Tramacere, EugenioLuciani, SaraFeraco, StefanoCircosta, SalvatoreKhan, IrfanBonfitto, AngeloAmati, Nicola v001t01a009-detc2021-67434.pdf
Remote Emergency Braking System for Autonomous Racing Electric Vehicles / Sorrentino, Gennaro; Danese, Luca; Circosta, Salvatore; Feraco, Stefano; Khan, Irfan; Luciani, Sara; Bonfitto, Angelo; Amati, Nicola. - (2021). (Intervento presentato al convegno ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference) [10.1115/DETC2021-67426]. 1-gen-2021 Sorrentino, GennaroDanese, LucaCircosta, SalvatoreFeraco, StefanoKhan, IrfanLuciani, SaraBonfitto, AngeloAmati, Nicola ASME IDETC2021-67426.pdf
Comfort-Oriented Design of Model Predictive Control in Assisted and Autonomous Driving / Luciani, Sara; Bonfitto, Angelo; Amati, Nicola; Tonoli, Andrea. - ELETTRONICO. - 4:(2020). (Intervento presentato al convegno ASME - 22nd International Conference on Advanced Vehicle Technologies (AVT) tenutosi a Virtual nel 17-19/08/2020) [10.1115/DETC2020-22418]. 1-gen-2020 Luciani, SaraBonfitto, AngeloAmati, NicolaTonoli, Andrea Comfort Oriented Design Of Model Predictive Control In Assisted And Autonomous Driving.pdf