The Use of Markov Chain Analysis for Rule-Based Power and Energy Management Optimisation in Electric Vehicles

Kok, Theodorus, Morris, Adrian, Scott, Helen and Baglee, David (2015) The Use of Markov Chain Analysis for Rule-Based Power and Energy Management Optimisation in Electric Vehicles. In: European Battery, Hybrid and Fuel Cell Electric Vehicle Congress, 2-4 Dec 2015, Brussels, Belgium.

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Abstract

In this paper the development of a Rule-Based Power and Energy Management Strategy as a result of Markov Chain analysis will be shown. Using real-world drive cycle data a Markov Chain Transition matrix is build from which a Bias matrix is developed showing the difference between acceleration and deceleration with respect to the next velocity as an extension to the Markov Chain. From this the parameters for a PEMS are developed, simulated and the results discussed and compared to other strategies.

Item Type: Conference or Workshop Item (Paper)
Subjects: Engineering > Automotive Engineering
Engineering > Electrical Engineering
Divisions: Faculty of Technology
Faculty of Technology > School of Engineering > The Institute for Automotive and Manufacturing Advanced Practice
Related URLs:
Depositing User: Adrian Morris
Date Deposited: 07 Apr 2017 13:16
Last Modified: 18 Dec 2019 15:40
URI: http://sure.sunderland.ac.uk/id/eprint/7119
ORCID for Helen Scott: ORCID iD orcid.org/0000-0003-0855-6399
ORCID for David Baglee: ORCID iD orcid.org/0000-0002-7335-5609

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