LUCIANI, SARA
LUCIANI, SARA
Dipartimento di Ingegneria Meccanica e Aerospaziale
049885
Off-Board Testing Device for Battery Diagnostics and Market Analysis for Battery Reuse
2023 Ponso, Alberto; Bonfitto, Angelo; Silvagni, Mario; Luciani, Sara
Artificial Intelligence Based State of Health Estimation With Short-Term Current Profile in Lead-Acid Batteries for Heavy-Duty Vehicles
2022 Luciani, Sara; Feraco, Stefano; Bonfitto, Angelo; Amati, Nicola; Tonoli, Andrea; Quaggiotto, Maurizio
Assessment of State of Charge Estimation Methods Based on Neural Networks and Support Vector Machine for Lithium-Ion Batteries Used in Vehicular Applications
2022 Luciani, Sara; Feraco, Stefano; Silvagni, Mario; Bonfitto, Angelo; Amati, Nicola; Tonoli, Andrea
Enabling Rapid State of Health Offline Estimation of a 48V Lithium-Ion Battery Pack
2022 Luciani, Sara; Anselma, Pier Giuseppe; Silvagni, Mario; Bonfitto, Angelo; Tonoli, Andrea
Making the Case for Predictive Thermal Management of Fuel Cell Systems for Electrified Vehicles
2022 Anselma, Pier Giuseppe; Luciani, Sara; Tonoli, Andrea
Predictive Control Framework for Thermal Management of Automotive Fuel Cell Systems at High Ambient Temperatures
2022 Anselma, PIER GIUSEPPE; Luciani, Sara; Tonoli, Andrea
A local trajectory planning and control method for autonomous vehicles based on the RRT algorithm
2021 Feraco, Stefano; Luciani, Sara; Bonfitto, Angelo; Amati, Nicola; Tonoli, Andrea
A Machine Learning Method for State of Charge Estimation in Lead-Acid Batteries for Heavy-Duty Vehicles
2021 Luciani, Sara; Feraco, Stefano; Bonfitto, Angelo; Tonoli, Andrea; Amati, Nicola; Quaggiotto, Maurizio
Local Trajectory Planning for Autonomous Racing Vehicles Based on the Rapidly-Exploring Random Tree Algorithm
2021 Tramacere, Eugenio; Luciani, Sara; Feraco, Stefano; Circosta, Salvatore; Khan, Irfan; Bonfitto, Angelo; Amati, Nicola
Remote Emergency Braking System for Autonomous Racing Electric Vehicles
2021 Sorrentino, Gennaro; Danese, Luca; Circosta, Salvatore; Feraco, Stefano; Khan, Irfan; Luciani, Sara; Bonfitto, Angelo; Amati, Nicola
Comfort-Oriented Design of Model Predictive Control in Assisted and Autonomous Driving
2020 Luciani, Sara; Bonfitto, Angelo; Amati, Nicola; Tonoli, Andrea
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.pdf; Anselma_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.pdf; A 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 |