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

机译:基准电动汽车的再生模糊制动混合策略:FIAT 500e

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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.
机译:通过在严酷的操作条件下适当减少电动制动的应用,可以实现现代电动汽车中再生制动性能的提高和电池可靠性的提高。在本文中,作者打算开发一种算法,用于优化再生制动系统与液压制动设备之间的协调,也称为制动混合策略。所提出的解决方案旨在通过避免在高温下发生的加速老化现象和限制能量存储系统的荷电状态值,来在制动操作期间最大化回收的能量,同时确保增加的电池耐用性。该控制器基于模糊逻辑,通过在基准电动汽车上进行的仿真活动进行了验证,显示出改进的可靠性能和更长的存储系统使用寿命。

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