Model Predictive Control-Based Energy Management System for a Hybrid Electric Agricultural Tractor

被引：3

作者：

Curiel-Olivares, Gonzalo ^{[1
]}

Johnson, Scott ^{[2
]}

Escobar, Gerardo ^{[1
]}

Schacht-Rodriguez, Ricardo ^{[3
]}

机构：

[1] Tecnol Monterrey, Monterrey 64849, Nuevo Leon, Mexico

[2] John Deere, Fargo, ND 58102 USA

[3] John Deere, Monterrey 64986, NL, Mexico

来源：

IEEE ACCESS | 2023年 / 11卷

关键词：

Energy management system; vehicle power management; power management system; model predictive control; hybrid electric vehicles; series hybrid electric vehicle; agricultural tractor; STRATEGY;

D O I：

10.1109/ACCESS.2023.3322462

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this work, a model predictive control (MPC) based energy management system (EMS) is designed and implemented to control the powertrain power flow of a series hybrid electric agricultural tractor. The proposed MPC-based EMS considers the battery SoC regulation and the fuel consumption minimization subject to power sources constraints. In addition to the control objectives established in the MPC, the analysis of the results shows the influence of the proposed scheme on the battery state of health (SoH), the battery temperature, the fuel economy and the engine performance based in the break specific fuel consumption (BSFC) map. For comparison purposes, a conventional rule-based (RB) EMS is also implemented. The results show that the MPC-EMS can achieve the main objectives with 7.2% fuel reduction while satisfactorily managing the systems constraints, and positively impacting the battery SoH and temperature in comparison with the RB-EMS.

引用

页码：118801 / 118811

页数：11

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