Publications

2022

  • L. Brunelli, A. Capancioni, G. Cecchini, S. Canè, A. Perazzo, and N. Cavina, “A predictive control strategy based on A-ECMS to handle Zero-Emission Zones: performance assessment and testing using an HiL equipped with vehicular connectivity,” Applied Energy, p. 15, Nov. 2022. (submitted the 28th of June 2022, still under review)
  • S. Canè, L. Brunelli, S. Gallian, A. Perazzo, A. Brusa, and N. Cavina, “Performance assessment of a predictive pre-heating strategy for a hybrid electric vehicle equipped with an electrically heated catalyst,” Applied Thermal Engineering, p. 119341, Sep. 2022, doi: 10.1016/j.applthermaleng.2022.119341.
  • A. Capancioni, ‘Development of predictive energy management strategies for hybrid electric vehicles supported by connectivity’, Doctoral dissertation, University of Bologna, Bologna, 2022, url: http://amsdottorato.unibo.it/10044/

2021

  • S. Canè, 'Development of a Predictive Control Function for a Plug-in Hybrid Electric Vehicle with Electrically-heated Catalyst', Master thesis, University of Bologna, Bologna, 2021, url: https://amslaurea.unibo.it/24073/ 
  • A. Capancioni, L. Brunelli, N. Cavina, and A. Perazzo, 'Development of Adaptive-ECMS and predictive functions for Plug-in HEVs to Handle Zero-Emission Zones Using Navigation Data', SAE International, Warrendale, PA, SAE Technical Paper 2021-24–0105, Sep. 2021. doi: 10.4271/2021-24-0105.
  • L. Brunelli et al., 'A Hybrid Vehicle Hardware-in-the-Loop System With Integrated Connectivity for Ehorizon Functions Validation', IEEE Transactions on Vehicular Technology, vol. 70, no. 5, pp. 4340–4352, May 2021, doi: 10.1109/TVT.2021.3073807.
  • M. Boccolini, ‘Development of a speed profile prediction algorithm based on navigation data for energy management optimization’, Master thesis, University of Bologna, Bologna, 2021
  • R. Martello, 'Cloud storage and processing of automotive lithium ion battery for RUL prediction', Master thesis, University of Bologna, 2021

2020

  • G. Buoncristiano, ‘Study of EKF and VPA for parameter estimation in a custom-designed battery system’, Master thesis, University of Bologna, Bologna, 2020, url: morethesis.unimore.it/thesis/buoncristiano
  • G. Caramia, ‘Modelling and Optimization of Energy Management Strategies for Hybrid Vehicles’, Doctoral dissertation, University of Bologna, Bologna, 2020, url: amsdottorato.unibo.it/9248/
  • M. Quaratino, 'Virtual calibration of CO2 and pollutant emissions of a high-performance phev using model-in-the-loop methodology', Master thesis, University of Bologna, Bologna, 2020, url: amslaurea.unibo.it/22053/
  • P. Gonnella, ‘Development of a V2X Platform for Predictive Driving Functions Validation’, Master thesis, University of Bologna, Bologna, 2020, url: amslaurea.unibo.it/19815/

2019

  • G. Caramia, N. Cavina, A. Capancioni, M. Caggiano et al., “Combined Optimization of Energy and Battery Thermal Management Control for a Plug-in HEV,” SAE Technical Paper 2019-24-0249, 2019, doi: 10.4271/2019-24-0249.

2018

  • L. Brunelli, ‘Design of a user-friendly Plug-in HEV simulation platform for energy management strategies and e-Horizon functions performance evaluation’, Master thesis, University of Bologna, Bologna, 2018, url: amslaurea.unibo.it/17209/.

  • A. Capancioni, N. Cavina, M. Caggiano, and S. Mazzetti, “Predictive Energy Management Strategies for Hybrid Electric Vehicles: eHorizon for Battery Management System,” Innovative Drives 2018, ser. VDI Reports, vol. 2334, Dresden, 2018, ISBN 978-3-18-092334-5, doi: 10.51202/9783181023341-49.

  • G. Caramia, N. Cavina, M. Caggiano, S. Patassa, and D. Moro, ‘Battery state of charge management strategies for a real-time controller of a Plug-in Hybrid Electric Vehicle’, Energy Procedia, vol. 148, pp. 258–265, Aug. 2018, ISSN 1876-6102, doi: 10.1016/j.egypro.2018.08.076.
  • C. Petrucci, ‘Development of a predictive function for Plug-in Hybrid Electric Vehicles: energy optimization in a route with Zero Emission Zone’, Master thesis, University of Bologna, Bologna, 2018.
  • N. Cavina, G. Caramia, S. Patassa, and M. Caggiano, ‘Predictive Energy Management Strategies for Hybrid Electric Vehicles: Fuel Economy Improvement and Battery Capacity Sensitivity Analysis’, SAE Technical Paper 2018-01-0998, Apr. 2018, doi: 10.4271/2018-01-0998.
  • A. Capancioni, ‘Development of a Predictive Thermal Management Function for Plug-in Hybrid Electric Vehicles’, Master thesis, University of Bologna, Bologna, 2018, url: amslaurea.unibo.it/15248/.

2017

  • F. Zampolli, ‘Development of an eHorizon strategy for HEVs with dynamic road situations model’, Master thesis, University of Bologna, Bologna, 2017, url: amslaurea.unibo.it/14839/.

2016

  • G. Caramia, ‘Development of an innovative non rule-based energy management strategy for a Hybrid Electric Vehicle, structured for predictive driving controls based on external information knowledge’, Master thesis, University of Bologna, Bologna, 2016, url: amslaurea.unibo.it/11755/.

2015

  • R. Parenti, S. Mazzetti, F. Belletti, F.-W. Speckens, and M. Caggiano, ‘Will the 95g/km Limit Affect Fun and Emotion? The Lamborghini Answer’, presented at the 24th Aachen Colloquium Automobile and Engine Technology 2015, Aachen, 2015.