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Efficient Energy Management in Hybrid Electric Vehicles Using DRBF Networks

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Advances in Computational Intelligence

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 988))

Abstract

Energy management in hybrid electric vehicles (HEVs) remains as a challenge. Hybrid electric vehicles (HEVs) are considered as one of the most promising automotive technologies in terms of energy management. In this paper, it has demonstrated a strategy to improve HEV energy efficiency via the use of DRBF network. The more capabilities and  benefits are achievable for a power-split driven HEV with DRBF energy optimization strategy has been considerably achieved and indicated accordingly. With the consideration of several real-time implementation issues, the results show improvements in fuel consumption with the HEV system under various driving cycles. This paper focuses on energy and emission impacts of the HEV system at the network level, and a cost-benefit analysis is conducted, which indicated that the benefits outweighed costs for HEV. For the said purpose, this paper introduces one novel and effective energy management strategy (EMS) using directed search optimization (DSO)-trained radial basis function neural network (RBFNN) and termed here as DRBF networks. DSO is used for both ANN and RBFNN.

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Author information

Authors and Affiliations

  1. National Institute of Technology, Yupia, Arunachal Pradesh, India

    Ralli Sangno & Saurav Kumar

  2. The Veer Surendra Sai University of Technology (VSSUT) Odisha, Burla, India

    Siba Prasada Panigrahi

Authors
  1. Ralli Sangno
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  2. Siba Prasada Panigrahi
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  3. Saurav Kumar
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Corresponding author

Correspondence to Ralli Sangno .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India

    Sudip Kumar Sahana

  2. Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India

    Vandana Bhattacharjee

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Sangno, R., Panigrahi, S.P., Kumar, S. (2020). Efficient Energy Management in Hybrid Electric Vehicles Using DRBF Networks. In: Sahana, S., Bhattacharjee, V. (eds) Advances in Computational Intelligence. Advances in Intelligent Systems and Computing, vol 988. Springer, Singapore. https://doi.org/10.1007/978-981-13-8222-2_2

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