Metamodelling-based Product Family Design of Plug-in Hybrid Electric Vehicles

Pirmoradi, Zhila; Zhang, Guanchen; Wang, G. Gary

doi:10.1080/19397038.2016.1250840

Cited by 5 publications

(3 citation statements)

References 26 publications

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“…The makeup of the PHEVs and that of the BEVs are homogenous, with the exception that the former has an exterior electric charging plug, larger electrical components and a smaller engine than the latter (Tran et al, 2020). PHEVs are widely regarded as the preferred EV due to their use of an electric motor, alongside an internal combustion engine that permits recharging (Pirmoradi et al, 2017;Rezvani et al, 2015). Pirmoradi et al (p. 58) state further that PHEVs house a more substantially sized battery pack, and their kilometre range can span a greater distance without using fuel than HEVs can.…”

Section: Types Of Electric Vehiclesmentioning

confidence: 99%

Factors Influencing Consumers’ Intentions Towards the Adoption of Environmentally Friendly Cars

Dilotsotlhe

2022

Multidiscip. bus. rev (Impr.)

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The purpose of this paper was to examine the factors that influence millennials’ intentions to adopt plug-in hybrid electric vehicles (PHEVs) in Gauteng, South Africa. This study was based on the theory of consumption values (TCV), using structured questionnaires and convenience sampling. Data was collected from 504 respondents in Gau-teng, South Africa. A multiple regression analysis was performed to test the proposed hypotheses. The findings revea-led a significant relationship between social, emotional and conditional values and millennials’ behavioural intentions to adopt PHEVs and demonstrated a non-significant relationship between functional and epistemic values and beha-vioural intentions. Online data collection was used owing to COVID-19 pandemic restrictions, which limited the researcher’s abilities to explain items in the questionnaire. Also, the study focused only on millennials residing in Gauteng, which does not accurately represent the behavioural intentions of the entire country. Nevertheless, this study offers useful information to environmentally friendly car manufacturers, car dealerships and the government, for developing strategies aimed at encouraging the adoption of PHEVs among South African millennial consumers.

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Section: Types Of Electric Vehiclesmentioning

confidence: 99%

Factors Influencing Consumers’ Intentions Towards the Adoption of Environmentally Friendly Cars

Dilotsotlhe

2022

Multidiscip. bus. rev (Impr.)

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“…The application of metamodels for the optimal design of electric machines is wide, for example, neural networks are used to represent the torque waveforms as a function of current amplitude and frequency [5], for the evaluation of electromagnetic performances [6], or as in [7] for the sizing of an induction machine for an automotive application. Although the formulation of the metamodel is complex [8], its use is straightforward and gives the system designer the possibility to exploit a trade-off between accuracy and computation time [9].…”

Section: Introductionmentioning

confidence: 99%

Kriging Metamodel for Electric Machines: A Drive Cycle Approach

Djami¹,

Hage-Hassan

Marchand

et al. 2022

2022 International Conference on Electrical Machines (ICEM)

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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“…18 Sensitivity index (SI), quantified correlation (QC), and coefficient of variation (CV) are treated as evaluation indicators to select the design variables with lower sensitivity as sharing variables. 19 But the product family of vehicles is a complex engineering problem, the single product based on vehicle module involving multiple disciplines, Khalkhali et al 20 combined the methods of technique for order preference by similarity to an ideal solution (TOPSIS) and nondominated sorting genetic algorithms-II (NSGA-II) to find the optimal design of the electric power steering system in the automotive platform design. Shah et al 21 summarized and improved some multi-objective optimization (MOO) algorithms, and used visual analysis to solve the problem of platform design.…”

Section: Introductionmentioning

confidence: 99%

Multidisciplinary design optimization of vehicle chassis product family

Chen

Wang

Guo-biao

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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In order to improve the performance of automotive product platforms and product families while keeping high development efficiency, a product family optimization design method that combines shared variable decision-making and multidisciplinary design optimization (MDO) is proposed. First, the basic concepts related to product family design optimization were clarified. Then, the mathematical description and MDO model of the product family optimization problem were established, and the improved product family design process was given. Finally, for the chassis product family optimization problem of an automotive product platform, the effectiveness of the proposed optimization method, and design process were exemplified. The results show that the collaboratively optimized product family can effectively handle the coordination between multiple products and multiple targets, compared to Non-platform development, it can maximize the generalization rate of vehicle parts and components under the premise of ensuring key performance, and give full play to the advantages of product platforms.

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Metamodelling-based Product Family Design of Plug-in Hybrid Electric Vehicles

Cited by 5 publications

References 26 publications

Factors Influencing Consumers’ Intentions Towards the Adoption of Environmentally Friendly Cars

Factors Influencing Consumers’ Intentions Towards the Adoption of Environmentally Friendly Cars

Kriging Metamodel for Electric Machines: A Drive Cycle Approach

Multidisciplinary design optimization of vehicle chassis product family

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