Skip to main content

Holistic Thermal Management Strategies for Electric Vehicles

  • Chapter
  • First Online:
  • 1669 Accesses

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSAUTOENG))

Abstract

Thermal management systems in vehicles ensure the demand-based supply and extraction of the heating and cooling energy that is needed to fulfil the specific requirements of components regarding their operating temperatures and to guarantee thermal convenience inside the cabin. Due to the limited energy capacity of fully electric vehicles, the energy efficiency of thermal management systems is a key factor for the sustainability of electromobility. In order to improve the efficiency of the overall system through a holistic approach, it is necessary to use the existing heat sources and lower the primary energy demand. The thermal management system that is currently being developed within the EU-funded iCOMPOSE project follows this approach. The most important element of the project is a centralized multicore computing unit in which the vehicle’s essential control functions are implemented, these functions being traction control and power split between battery and supercapacitors in addition to thermal management. The obvious aim, therefore, is the development and implementation of a resource-conserving model predictive controller for all thermal functionalities. On the basis of a specially developed library of cooling and air-conditioning components, a simulation environment for the development and testing of the controller was built. In the process, three different system configurations were explicitly analyzed using a LOTUS Evora 414E in order to reference the controller in compliance with current development trends. The following article introduces the overall project concept before discussing the development of the component models in detail. Afterwards, the simulation of the three reference systems using the example of one of these systems will be described. The development and testing process for the model predictive controller will follow. The article concludes with a summary of the results and an outlook on existing optimization opportunities.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

Reference

  1. Traussnig AA, Waltenberger M, Klima B, Ennemoser A (2013) Konzeptbewertung und Auslegung der thermischen Betriebsstrategie in einem HEV.—in: 2. VDI-Konferenz “Thermomanagement für elektromotorisch angetriebene PKW”. Stuttgart am: 03.12.2013

    Google Scholar 

Download references

Acknowledgements

The research work of the authors has been partially funded by the European Commission within the project Integrated Control of Multiple-Motor and Multiple-Storage Fully Electric Vehicles (iCOMPOSE) under the Seventh Framework Programme grant agreement №. 608897.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Matthias Hütter .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 The Author(s)

About this chapter

Cite this chapter

Hütter, M., König, W., Kuitunen, S. (2018). Holistic Thermal Management Strategies for Electric Vehicles. In: Watzenig, D., Brandstätter, B. (eds) Comprehensive Energy Management - Safe Adaptation, Predictive Control and Thermal Management. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-57445-5_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-57445-5_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57444-8

  • Online ISBN: 978-3-319-57445-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics