Online energy management for intermittent operation of hybrid electric vehicles

Florian Meier, Luigi Del Re

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Commonly, the control of hybrid electric vehicles (HEVs) is focused on efficiency maximization by distributing engine and electrical machine power. The only state to be considered in such an optimization is the battery charge. In certain situations such as cold starts in winter additional aspects gain importance. Passenger safety and comfort require sufficient heating of the cabin which drains thermal energy from the engine. Moreover, exhaust aftertreatment systems must be heated up fast in order to comply with emission limits. This becomes even more critical for short-haul cold start scenarios. In this paper, we propose a possible solution based on an online model predictive controller (MPC) to balance fuel consumption and emission minimization with thermal management which is shown to provide significant emission reduction compared to purely powertrain centered approaches.
Original languageEnglish
Title of host publicationMECC
Number of pages7
Publication statusPublished - 2021

Fields of science

  • 206002 Electro-medical engineering
  • 207109 Pollutant emission
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202027 Mechatronics
  • 202034 Control engineering
  • 203027 Internal combustion engines
  • 206001 Biomedical engineering

JKU Focus areas

  • Digital Transformation
  • Sustainable Development: Responsible Technologies and Management

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