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.

Regenerative Brake Blending in Electric Hypercars: Benchmarking and Implementation

Senofieni R.;Bassi F.;Corno M.;Savaresi S. M.;Savaia G.
2024-01-01

Abstract

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.
2024
Lecture Notes in Mechanical Engineering
9783031703911
9783031703928
ECMS
Electric Vehicles
Pontryagin’s Minimum Principle
Regenerative Brake Blending
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1287562
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