Evaluation of algorithms for temperature estimation in a crankcase

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Ongoing research in emission reduction requires accurate load detection for combustion engines with a limited number of sensors. Therefore, fast estimation of load temperature is essential. Temperature measurements are influenced by the thermal properties of the sensor itself as well as its position and mounting method. In this paper, the transient thermal behavior of the engine's crankcase and the temperature sensor for load detection is modeled as a low-pass transfer function. The unknown parameters of the transfer function are identified from experimental measurements. Maximum likelihood estimation and Kalman filtering are used to estimate the original temperature from disturbed measurements. Estimator performance is evaluated via simulations of randomized test scenarios in a Monte Carlo fashion. Influences of the model errors, the measurement noise and the estimation window-time are investigated.

Original languageEnglish
Title of host publicationI2MTC 2018 - 2018 IEEE International Instrumentation and Measurement Technology Conference
Subtitle of host publicationDiscovering New Horizons in Instrumentation and Measurement, Proceedings
PublisherInstitute of Electrical and Electronics Engineers
Pages1-6
Number of pages6
ISBN (Electronic)9781538622223
DOIs
Publication statusPublished - 10 Jul 2018
Event2018 IEEE International Instrumentation and Measurement Technology Conference - Houston, United States
Duration: 14 May 201817 May 2018

Conference

Conference2018 IEEE International Instrumentation and Measurement Technology Conference
Abbreviated titleI2MTC
CountryUnited States
CityHouston
Period14/05/1817/05/18

Keywords

  • estimation
  • temperature

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Instrumentation

Fingerprint Dive into the research topics of 'Evaluation of algorithms for temperature estimation in a crankcase'. Together they form a unique fingerprint.

Cite this