Skip to main content
  • 1160 Accesses

Abstract

Nowadays, modern vehicles, like hybrid electric vehicles (HEV), are equipped with many electronic control units (ECUs) such as an engine control unit or a battery management system (BMS). In general, among the main tasks of such a unit are monitoring the state of a component, controlling various of its functions, and protecting it from abnormal use. For this purpose, an ECU reads data that are measured by sensors and calculates control values and statistics that describe the component’s load, e.g., load spectrum data [61], based on the sensor input.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 64.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 84.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Philipp Bergmeir .

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Fachmedien Wiesbaden GmbH

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Bergmeir, P. (2018). Introduction. In: Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum Data . Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-20367-2_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-658-20367-2_1

  • Published:

  • Publisher Name: Springer Vieweg, Wiesbaden

  • Print ISBN: 978-3-658-20366-5

  • Online ISBN: 978-3-658-20367-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics