Regenerative Brake Blending in Electric Hypercars: Benchmarking and Implementation
摘要
This paper presents a novel Regenerative Brake Blending (RBB) strategy for an electric hypercar, framing it as a multi-objective problem. These include thermal and lifespan management of various components plus maximizing energy recovery. We begin by mathematically modelling each subsystem of the RBB layout. Then, we define an acausal offline optimal control problem to establish a benchmark solution; subsequently we propose a causal real-time control strategy inspired by the Equivalent Consumption Minimization Strategy (ECMS). The proposed real-time strategy shows a performance loss of 1.6% compared to the benchmark underscoring the efficacy of the proposed RBB strategy in maximizing energy recuperation while considering for brake temperatures.