模型预测控制
能源管理
控制理论(社会学)
计算机科学
控制器(灌溉)
非线性系统
循环(图论)
控制工程
电动汽车
能量(信号处理)
汽车工程
控制(管理)
工程类
农学
数学
组合数学
量子力学
人工智能
物理
统计
功率(物理)
生物
作者
Luca Cavanini,Paweł Majecki,Mike J. Grimble,Lakshmy Vazhayil Sasikumar,Richard Z. Li,Curt Hillier
标识
DOI:10.1016/j.ifacol.2022.10.280
摘要
An Energy Management System for Hybrid Electric Vehicles is described based on a Model Predictive Control solution. This is implemented using a Processor-In-the-Loop simulation running on a GreenBox II development board from NXP Semiconductors. The hybrid vehicle considered contains an internal combustion engine and an electric motor in a parallel configuration. The MPC design involves a Linear Parameter-Varying model to approximate the nonlinear vehicle model and provide a simpler algorithm for implementation. The control policy was integrated into the GBII control board and assessed in simulation with the processor in the loop. The very promising performance of the proposed predictive controller in terms of mileage and battery degradation is compared with the well-established Equivalent Consumption Minimization Strategies.
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