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Intelligent Control System for Hybrid Electric Vehicle with Autonomous Charging

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Artificial Intelligence for Robotics and Autonomous Systems Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1093))

Abstract

The present chapter deals with a general review of electric vehicles (EVs) and testing the efficiency of modern charging systems. This work is concentrated also on hybrid vehicle architectures and recharge systems. In the first step and more precisely, a global study on the different architecture and technologies for EVs examined the battery, electric motor, and different sensor actions in electric vehicles. The second part also discusses the different types of charging systems used in EVs which we divided into two types, the first one is classic chargers the second is the autonomous charger. In addition, an overview of the autonomous charger is presented along with its corresponding mathematical modeling to address the photovoltaic charger (PV) and Wireless charging system (WR). After a clear mathematical discerption of each part and by showing the needed electronic equipment to assure each tool's role, an easy management loop is designed and implemented. Then propose a hybrid charging system between PV and WR and then used an intelligent power distribution system. Then, Matlab/Simulink software is used to simulate the energetic performance of an electric vehicle with this hybrid recharge tool under various simulation conditions. At the end of this study, the given results and their corresponding discussions show the benefits and the drawbacks of each solution and prove the importance of this hybrid recharge tool for increasing vehicle autonomy.

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Acknowledgements

The authors would like to thank Prince Sultan University, Riyadh, Saudi Arabia for supporting this work. Special acknowledgement to Automated Systems & Soft Computing Lab (ASSCL), Prince Sultan University, Riyadh, Saudi Arabia.

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Authors and Affiliations

  1. Environment and Electrical Systems LR18ES34, National Engineering School of Gabes, University of Gabes, Zrig Eddakhlania, Tunisia

    Mohamed Naoui, Aymen Flah, Lassaad Sbita & Mouna Ben Hamed

  2. College of Computer and Information Sciences, Prince Sultan University, Riyadh, 11586, Saudi Arabia

    Ahmad Taher Azar

  3. Faculty of Computers and Artificial Intelligence, Benha University, Benha, 13518, Egypt

    Ahmad Taher Azar

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  1. Mohamed Naoui
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  2. Aymen Flah
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Correspondence to Mohamed Naoui .

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  1. College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia

    Ahmad Taher Azar

  2. College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia

    Anis Koubaa

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Naoui, M., Flah, A., Sbita, L., Ben Hamed, M., Azar, A.T. (2023). Intelligent Control System for Hybrid Electric Vehicle with Autonomous Charging. In: Azar, A.T., Koubaa, A. (eds) Artificial Intelligence for Robotics and Autonomous Systems Applications. Studies in Computational Intelligence, vol 1093. Springer, Cham. https://doi.org/10.1007/978-3-031-28715-2_13

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