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Reducing the energy consumption of electric buses with design choices and predictive driving
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Reinforcement Learning for Hybrid and Plug-In Hybrid Electric Vehicle Energy Management: Recent Advances and Prospects
The Use of Markov Chain Analysis for Rule-Based Power and Energy Management Optimisation in Electric Vehicles
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
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