Skip to main content
Top

Energy Cost Based Vehicle Hybrid Control and Analysis Technique

  • 2021
  • OriginalPaper
  • Chapter
Published in:

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

A novel method of analyzing and controlling hybrid systems has been developed. Utilizing engine operating maps along with hybrid electrical system efficiency data, the actual cost or savings of fuel related to the generation or usage of electric energy can be calculated. These calculations can be used to analyze a vehicle’s operation, or they can produce optimized Electric Fuel Savings (EFS) or Electric Fuel Cost (EFC) maps which can be used for the supervisory control of a hybrid propulsion system. This method is similar in concept to the well-known Equivalent Consumption Minimization Strategy (ECMS) but has some unique attributes. The operating strategy is less computationally demanding than ECMS and tends to be more intuitive which lends itself well to system analysis and calibration.

Not a customer yet? Then find out more about our access models now:

Individual Access

Start your personal individual access now. Get instant access to more than 164,000 books and 540 journals – including PDF downloads and new releases.

Starting from 54,00 € per month!    

Get access

Access for Businesses

Utilise Springer Professional in your company and provide your employees with sound specialist knowledge. Request information about corporate access now.

Find out how Springer Professional can uplift your work!

Contact us now
Title
Energy Cost Based Vehicle Hybrid Control and Analysis Technique
Authors
John Shutty
Dmitriy Semenov
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-658-33521-2_32
This content is only visible if you are logged in and have the appropriate permissions.
    Image Credits
    AVL List GmbH/© AVL List GmbH, dSpace, BorgWarner, Smalley, FEV, Xometry Europe GmbH/© Xometry Europe GmbH, The MathWorks Deutschland GmbH/© The MathWorks Deutschland GmbH, HORIBA/© HORIBA, Outokumpu/© Outokumpu, Gentex GmbH/© Gentex GmbH, Ansys, Yokogawa GmbH/© Yokogawa GmbH, Softing Automotive Electronics GmbH/© Softing Automotive Electronics GmbH, measX GmbH & Co. KG, Hirose Electric GmbH/© Hirose Electric GmbH