Enhanced regenerative brake performances and increased battery reliability in modern Electric Vehicles could be allowed by a proper reduction of electric braking applications at severe operative conditions. In this paper, authors intend to develop an algorithm for the optimized coordination between Regenerative Brake System and Hydraulic Brake Plant, also known as Brake Blending strategy. Proposed solution aim at maximizing the recovered energy during braking manoeuvres while ensuring an increased battery durability, by avoiding accelerated ageing phenomena occurring at high temperatures and limit State Of Charge values of the energy storage system. The controller, based on fuzzy logic, is validated through simulation activities on a benchmark electric vehicle showing improved reliability performances and extended lifespan of the storage system.

Regenerative Fuzzy Brake Blending Strategy on Benchmark Electric Vehicle: The FIAT 500e / Favilli T.; Pugi L.; Berzi L.; Pierini M.; Tobia N.. - ELETTRONICO. - (2020), pp. 1-6. (Intervento presentato al convegno 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020 tenutosi a esp nel 2020) [10.1109/EEEIC/ICPSEurope49358.2020.9160584].

Regenerative Fuzzy Brake Blending Strategy on Benchmark Electric Vehicle: The FIAT 500e

Favilli T.
Membro del Collaboration Group
;
Pugi L.
Membro del Collaboration Group
;
Berzi L.
Membro del Collaboration Group
;
Pierini M.
Membro del Collaboration Group
;
2020

Abstract

Enhanced regenerative brake performances and increased battery reliability in modern Electric Vehicles could be allowed by a proper reduction of electric braking applications at severe operative conditions. In this paper, authors intend to develop an algorithm for the optimized coordination between Regenerative Brake System and Hydraulic Brake Plant, also known as Brake Blending strategy. Proposed solution aim at maximizing the recovered energy during braking manoeuvres while ensuring an increased battery durability, by avoiding accelerated ageing phenomena occurring at high temperatures and limit State Of Charge values of the energy storage system. The controller, based on fuzzy logic, is validated through simulation activities on a benchmark electric vehicle showing improved reliability performances and extended lifespan of the storage system.
2020
Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020
2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020
esp
2020
Goal 9: Industry, Innovation, and Infrastructure
Favilli T.; Pugi L.; Berzi L.; Pierini M.; Tobia N.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1206149
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