AAC 2022 Paper Abstract

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Cavanini, Luca (Industrial Systems and Control Ltd), Majecki, Pawel (Industrial Systems and Control, Ltd), Grimble, Michael (University of Strathclyde, Industrial Control Centre), Sasikumar, Lakshmy Vazhayil (NXP Semiconductors), Li, Richard (NXP Semiconductors), Hillier, Curt (NXP Semiconductors)

Processor in the Loop Demonstration of MPC for HEVs Energy Management System

Scheduled for presentation during the Invited Session "MODELLING AND CONTROL METHODS FOR ADVANCED VEHICLE CONTROL" (MoBT5), Monday, August 29, 2022, 16:50−17:10, Pfhal Hall 202

10th IFAC International Symposium on Advances in Automotive Control, August 28-31, 2022, Columbus, Ohio, USA

This information is tentative and subject to change. Compiled on April 26, 2024

Keywords Energy management for XEV, Optimal design and control of XEV, Vehicle dynamics, control and state estimation

Abstract

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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