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Status and future perspectives of reliability assessment for electric vehicles

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  • Gandoman, Foad H.
  • Ahmadi, Abdollah
  • Bossche, Peter Van den
  • Van Mierlo, Joeri
  • Omar, Noshin
  • Nezhad, Ali Esmaeel
  • Mavalizadeh, Hani
  • Mayet, Clément

Abstract

Using clean energy sources has contributed to various industries, especially the automotive industry. In this regard, large companies have taken a significant step in the field of renewable energy by introducing Electric Vehicles (EVs). One of the main challenges in the EVs area is evaluating the reliability and safety of these vehicles. Thus, the concept of the reliability and safety of EV's components is considered a significant issue. In general, reliability and safety assessment of important electrical components of EVs, i.e. i) the battery pack, ii) power electronic converters, and iii) the electric motor, plays a significant role in the lifetime performance of EVs’ electrical system. This paper presents a comprehensive review of the reliability of EVs’ components from different points of view. Also, the challenges and future perspective of EVs relating to the reliability and safety, which need to be considered have been investigated.

Suggested Citation

  • Gandoman, Foad H. & Ahmadi, Abdollah & Bossche, Peter Van den & Van Mierlo, Joeri & Omar, Noshin & Nezhad, Ali Esmaeel & Mavalizadeh, Hani & Mayet, Clément, 2019. "Status and future perspectives of reliability assessment for electric vehicles," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 1-16.
    • Handle: RePEc:eee:reensy:v:183:y:2019:i:c:p:1-16
    DOI: 10.1016/j.ress.2018.11.013
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    1. Bing Wang & Guangdong Tian & Yanping Liang & Tiangang Qiang, 2014. "Reliability Modeling and Evaluation of Electric Vehicle Motor by Using Fault Tree and Extended Stochastic Petri Nets," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-9, April.
    2. Ghosh, Rahul & Kim, DongSeong & Trivedi, Kishor S., 2013. "System resiliency quantification using non-state-space and state-space analytic models," Reliability Engineering and System Safety, Elsevier, vol. 116(C), pages 109-125.
    3. Jaewook Lee & Woosuk Sung & Joo-Ho Choi, 2015. "Metamodel for Efficient Estimation of Capacity-Fade Uncertainty in Li-Ion Batteries for Electric Vehicles," Energies, MDPI, vol. 8(6), pages 1-17, June.
    4. Timothy J. Sturgeon & Olga Memedovic & Johannes Van Biesebroeck & Gary Gereffi, 2009. "Globalisation of the automotive industry: main features and trends," International Journal of Technological Learning, Innovation and Development, Inderscience Enterprises Ltd, vol. 2(1/2), pages 7-24.
    5. Jelle Smekens & Rahul Gopalakrishnan & Nils Van den Steen & Noshin Omar & Omar Hegazy & Annick Hubin & Joeri Van Mierlo, 2016. "Influence of Electrode Density on the Performance of Li-Ion Batteries: Experimental and Simulation Results," Energies, MDPI, vol. 9(2), pages 1-12, February.
    6. Liu, Zhitao & Tan, CherMing & Leng, Feng, 2015. "A reliability-based design concept for lithium-ion battery pack in electric vehicles," Reliability Engineering and System Safety, Elsevier, vol. 134(C), pages 169-177.
    7. Soares, F.J. & Carvalho, L. & Costa, I.C. & Iria, J.P. & Bodet, J.-M. & Jacinto, G. & Lecocq, A. & Roessner, J. & Caillard, B. & Salvi, O., 2015. "The STABALID project: Risk analysis of stationary Li-ion batteries for power system applications," Reliability Engineering and System Safety, Elsevier, vol. 140(C), pages 142-175.
    8. Mishra, Madhav & Martinsson, Jesper & Rantatalo, Matti & Goebel, Kai, 2018. "Bayesian hierarchical model-based prognostics for lithium-ion batteries," Reliability Engineering and System Safety, Elsevier, vol. 172(C), pages 25-35.
    9. Xu, Xin & Chen, Nan, 2017. "A state-space-based prognostics model for lithium-ion battery degradation," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 47-57.
    10. Montoro-Cazorla, Delia & Pérez-Ocón, Rafael, 2018. "Constructing a Markov process for modelling a reliability system under multiple failures and replacements," Reliability Engineering and System Safety, Elsevier, vol. 173(C), pages 34-47.
    11. Davidov, Sreten & Pantoš, Miloš, 2017. "Planning of electric vehicle infrastructure based on charging reliability and quality of service," Energy, Elsevier, vol. 118(C), pages 1156-1167.
    12. Poullikkas, Andreas, 2015. "Sustainable options for electric vehicle technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1277-1287.
    13. Dariush Khezrimotlagh & Yao Chen, 2018. "The Optimization Approach," International Series in Operations Research & Management Science, in: Decision Making and Performance Evaluation Using Data Envelopment Analysis, chapter 0, pages 107-134, Springer.
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    10. Aizpurua, J.I. & Stewart, B.G. & McArthur, S.D.J. & Penalba, M. & Barrenetxea, M. & Muxika, E. & Ringwood, J.V., 2022. "Probabilistic forecasting informed failure prognostics framework for improved RUL prediction under uncertainty: A transformer case study," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
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    14. Manik Chandra Das & Abanish Pandey & Arun Kumar Mahato & Rajnish Kumar Singh, 2019. "Comparative performance of electric vehicles using evaluation of mixed data," OPSEARCH, Springer;Operational Research Society of India, vol. 56(3), pages 1067-1090, September.
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