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Fuzzy-Based Multi-Objective Optimization for Subjection and Diagnosis of Hybrid Energy Storage System of an Electric Vehicle

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Proceeding of International Conference on Intelligent Communication, Control and Devices

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 479))

Abstract

Hybrid vehicles are widely considered as the emerging solutions for green technology in the field of transportation due to their user and eco-friendly interface. Generally speaking the hybrid energy system is prone to multiple types of faults and an intelligent monitoring layer can ensure smooth operation and inform any maintenance issues. In this work, we present an interface which integrates multiple AI and signal processing techniques to control the functioning of hybrid vehicles and detect the different faults interrupting smooth performance in a very short span of time. We demonstrate the thought process, simulation, final software interface, and test results to confirm its effectiveness.

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Author information

Authors and Affiliations

  1. Department of Electrical and Electronics, ASET, Amity University Uttar Pradesh, Noida, UP, India

    Kurukuru Varaha Satya Bharath &  Kamlesh Pandey

Authors
  1. Kurukuru Varaha Satya Bharath
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  2. Kamlesh Pandey
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Corresponding author

Correspondence to Kurukuru Varaha Satya Bharath .

Editor information

Editors and Affiliations

  1. Electronics, Instrumentation & Control, University of Petroleum & Energy Studies, Dehradun, Uttarakhand, India

    Rajesh Singh

  2. Electronics, Instrumentation and Control, Univer. of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Sushabhan Choudhury

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© 2017 Springer Science+Business Media Singapore

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Bharath, K.V.S., Kamlesh Pandey (2017). Fuzzy-Based Multi-Objective Optimization for Subjection and Diagnosis of Hybrid Energy Storage System of an Electric Vehicle. In: Singh, R., Choudhury, S. (eds) Proceeding of International Conference on Intelligent Communication, Control and Devices . Advances in Intelligent Systems and Computing, vol 479. Springer, Singapore. https://doi.org/10.1007/978-981-10-1708-7_35

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  • DOI: https://doi.org/10.1007/978-981-10-1708-7_35

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1707-0

  • Online ISBN: 978-981-10-1708-7

  • eBook Packages: EngineeringEngineering (R0)

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