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Issue: June 2023

Volume 8 | Issue 6

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Paper Title: Energy optimization in autonomous driving using deep reinforced learning and stochastic system modelling
Authors Name: Akash Ladha , Divya Priyadharshini Mohan
Unique Id: IJSDR2109021
Published In: Volume 6 Issue 9, September-2021
Abstract: In the development of future low-emission vehicles, Machine Learning is playing a significant role, since manufacturers progressively hit constraints with existing technology. In addition to independent driving, new improvements in reinforcement learning are also quite good at handling complicated parameterisation challenges. Deep reinforced training is utilised in this research to derive efficient electric hybrid vehicle operating methods. A wide range of possible driving and traffic conditions should be predicted, so that fuel-efficient solutions may be achieved in order to achieve intelligent and adaptable processes. This study demonstrates a reinforced learning agent's capacity to learn almost optimum operational strategies without previous route knowledge and gives a large potential for more factors to be included in the optimization procedure. This paper includes (1) a deep learning context that will enable discovering virtually optimum operating strategies. (2) The use of stochastic driver models to increase public generalisation and prevent overfitting of the approach. (3) Inclusion of the optimization process of battery modelling with extra power restrictions. The results are simulated and comparison graphs are plotted for the derived model.
Keywords: Electric vehicles, Fuel economy, Exhaust emissions, Battery state of charge, Deep reinforced learning
Cite Article: "Energy optimization in autonomous driving using deep reinforced learning and stochastic system modelling", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.6, Issue 9, page no.132 - 140, September-2021, Available :http://www.ijsdr.org/papers/IJSDR2109021.pdf
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Publication Details: Published Paper ID: IJSDR2109021
Registration ID:193669
Published In: Volume 6 Issue 9, September-2021
DOI (Digital Object Identifier):
Page No: 132 - 140
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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