Tire Particle Control with Comfort Bounds for Electric Vehicles

Gunda Singer, Daniel Adelberger, Robert Shorten, Luigi Del Re

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

Abstract

While it is widely known that electric vehicles will contribute very substantially to the reduction of exhaust emissions, it is less known that the impact of particulates, in particular from tires, will become larger, due to both the weight of these vehicles and the torque profile of electrical machines. In this paper, we use a recently developed tire emissions estimation method to develop a control approach which reduces these emissions. We show in a comprehensive simulation study using real data from German highways that the tire particle controller not only reduces tire emissions but at the same time allows to ensures ride comfort. These results illustrate that there is potentially a substantial environmental benefit to be expected especially depending on the presence, type and prediction of a preceding vehicle.
Original languageEnglish
Title of host publicationCDC
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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