Analysis of inductive power transfer systems by metamodeling techniques
This paper presents some metamodeling techniques to analyze the variability of the performances of an inductive power transfer (IPT) system, considering the sources of uncertainty (misalignment between the coils, the variation in air gap, and the rotation on the receiver). For IPT systems, one of th...
Saved in:
| Published in: | Comptes rendus. Physique Vol. 25; no. S1; pp. 125 - 139 |
|---|---|
| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Académie des sciences (Paris)
01.01.2024
Académie des sciences |
| Subjects: | |
| ISSN: | 1631-0705, 1878-1535 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | This paper presents some metamodeling techniques to analyze the variability of the performances of an inductive power transfer (IPT) system, considering the sources of uncertainty (misalignment between the coils, the variation in air gap, and the rotation on the receiver). For IPT systems, one of the key issues is transmission efficiency, which is greatly influenced by many sources of uncertainty. So, it is meaningful to find a metamodeling technique to quickly evaluate the system’s performances. According to the comparison of Support Vector Regression, Multigene Genetic Programming Algorithm, and sparse Polynomial Chaos Expansions (PCE), sparse PCE is recommended for the analysis due to the tradeoff between the computational time and the accuracy of the metamodel. |
|---|---|
| AbstractList | This paper presents some metamodeling techniques to analyze the variability of the performances of an inductive power transfer (IPT) system, considering the sources of uncertainty (misalignment between the coils, the variation in air gap, and the rotation on the receiver). For IPT systems, one of the key issues is transmission efficiency, which is greatly influenced by many sources of uncertainty. So, it is meaningful to find a metamodeling technique to quickly evaluate the system’s performances. According to the comparison of Support Vector Regression, Multigene Genetic Programming Algorithm, and sparse Polynomial Chaos Expansions (PCE), sparse PCE is recommended for the analysis due to the tradeoff between the computational time and the accuracy of the metamodel. This paper presents some metamodeling techniques to analyze the variability of the performances of an inductive power transfer (IPT) system, considering the sources of uncertainty (misalignment between the coils, the variation in air gap, and the rotation on the receiver). For IPT systems, one of the key issues is transmission efficiency, which is greatly influenced by many sources of uncertainty. So, it is meaningful to find a metamodeling technique to quickly evaluate the system's performances. According to the comparison of Support Vector Regression, Multigene Genetic Programming Algorithm, and sparse Polynomial Chaos Expansions (PCE), sparse PCE is recommended for the analysis due to the tradeoff between the computational time and the accuracy of the metamodel. Ce papier présente différentes techniques de métamodélisation afin d'analyser la variabilité des performances d'un système de transfert de puissance par induction (IPT), en tenant compte des sources d'incertitude (décentrage des bobines, la variation de l'entrefer et la rotation du récepteur). Pour les systèmes IPT, l'une des questions clés est l'efficacité de la transmission, qui est fortement influencée par les nombreuses sources d'incertitude. Il est donc important de déterminer une technique de métamodélisation susceptible d'évaluer rapidement les performances du système. Trois techniques de métamodélisation sont comparées : la régression à vecteurs de support, l'algorithme de programmation génétique multigénique et les développements du chaos polynomial (PCE), il ressort que la technique PCE est recommandée pour une telle analyse en raison du compromis entre le temps de calcul et la précision du métamodèle. |
| Author | Le Bihan, Yann Bensetti, Mohamed Pei, Yao Pichon, Lionel |
| Author_xml | – sequence: 1 givenname: Yao orcidid: 0000-0003-0099-4001 surname: Pei fullname: Pei, Yao – sequence: 2 givenname: Lionel orcidid: 0000-0002-3402-5498 surname: Pichon fullname: Pichon, Lionel – sequence: 3 givenname: Mohamed orcidid: 0000-0002-4755-5113 surname: Bensetti fullname: Bensetti, Mohamed – sequence: 4 givenname: Yann orcidid: 0000-0001-5563-9192 surname: Le Bihan fullname: Le Bihan, Yann |
| BackLink | https://hal.science/hal-04705735$$DView record in HAL |
| BookMark | eNpVkF9LwzAUxYNMcJu--An6qtCZv03yOIZuwsAXfQ5Jmm4dbTOTbtJvb2ZF8Okezj33B_fMwKTznQPgHsEFExA_2XDcD3GBhLgCUyS4yBEjbJJ0QVAOOWQ3YBbjAUJUUEimYL3sdDPEOma-yuquPNm-Prvs6L9cyPqgu1glEYfYuzZmZsha1-vWl66pu13WO7vv6s-Ti7fgutJNdHe_cw4-Xp7fV5t8-7Z-XS23uSW46HPHNCK2tBVmVCBMqKFcQ6srxKxGrDRaO0wFdxwjAktqpExrYyQWvKiIIHPwOnJLrw_qGOpWh0F5Xasfw4ed0qGvbeMUTi9iXhSaOEeRlJIwIq1FRhqGZQUT62Fk7XXzD7VZbtXFgzQVxgk7o5R9HLM2-BiDq_4OEFSX6tVYvUrVk29nwHlp |
| Cites_doi | 10.3390/en14133983 10.1007/978-1-4757-3264-1 10.1016/j.ress.2007.04.002 10.1007/978-3-319-20883-1_22 10.1016/j.jcp.2010.12.021 10.1109/ACCESS.2022.3198953 10.3390/su13052556 10.1109/TEMC.2017.2727961 10.1109/TIE.2019.2962432 10.1142/5089 10.1109/APEC.2013.6520541 10.1109/ACCESS.2018.2888903 10.1017/wpt.2014.8 10.1109/TIA.2018.2836098 10.1109/PICC.2018.8384758 10.1109/TEMC.2018.2797481 10.1109/ACCESS.2021.3116678 10.1109/ACCESS.2020.3025052 10.1109/JESTPE.2013.2264473 10.1109/JESTPE.2014.2311302 10.1109/TCPMT.2017.2761907 10.1007/0-306-48048-4_14 10.1007/0-387-23254-0_17 10.1109/TPEL.2012.2212917 10.1109/ACCESS.2021.3138239 |
| ContentType | Journal Article |
| Copyright | Distributed under a Creative Commons Attribution 4.0 International License |
| Copyright_xml | – notice: Distributed under a Creative Commons Attribution 4.0 International License |
| DBID | AAYXX CITATION 1XC VOOES DOA |
| DOI | 10.5802/crphys.188 |
| DatabaseName | CrossRef Hyper Article en Ligne (HAL) Hyper Article en Ligne (HAL) (Open Access) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | CrossRef |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Chemistry Astronomy & Astrophysics Physics |
| EISSN | 1878-1535 |
| EndPage | 139 |
| ExternalDocumentID | oai_doaj_org_article_21642766a3ee419993539cc1b9b529f0 oai:HAL:hal-04705735v1 10_5802_crphys_188 |
| GroupedDBID | --K --M .~1 0R~ 1B1 1~. 1~5 4.4 457 4G. 5GY 7-5 71M 8P~ 9DU AAEDT AAFWJ AAIKJ AAKOC AALRI AAOAW AAYXX ABMAC ACDAQ ACFVG ACGFS ADBBV ADEZE ADRWJ AEKER AENEX AEXTA AFPKN AFTJW AGHFR AGUBO AGYEJ AIVDX AKRWK ALMA_UNASSIGNED_HOLDINGS BLXMC CITATION CS3 DU5 EO8 EO9 EP2 EP3 FDB FEDTE FIRID FNPLU G-Q GBLVA GROUPED_DOAJ HVGLF J1W L7B LN9 MO0 N9A O-L O9- OAUVE OGIMB OK1 OZT P-8 P-9 PC. Q38 RPZ SDF SDG SEM SES SEW SPD SSZ ~G- ~HD 1XC VOOES |
| ID | FETCH-LOGICAL-c326t-e5a13cdcf25481234b47a0caf15ca15dbaae2487e72130d4b99a0cbb92876f383 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 0 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001390425600009&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1631-0705 |
| IngestDate | Fri Oct 03 12:53:45 EDT 2025 Tue Oct 14 20:54:49 EDT 2025 Sat Nov 29 07:07:08 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | S1 |
| Keywords | L Wireless power transfer Metamodels Polynomial chaos expansions Support vector regression Multigene genetic programming algorithm. Mots-clés. Transfert d'énergie sans contact Métamodèles Développements du chaos polynomial Régression à vecteurs de support L |
| Language | English |
| License | Distributed under a Creative Commons Attribution 4.0 International License: http://creativecommons.org/licenses/by/4.0 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c326t-e5a13cdcf25481234b47a0caf15ca15dbaae2487e72130d4b99a0cbb92876f383 |
| ORCID | 0000-0003-0099-4001 0000-0002-4755-5113 0000-0002-3402-5498 0000-0001-5563-9192 |
| OpenAccessLink | https://doaj.org/article/21642766a3ee419993539cc1b9b529f0 |
| PageCount | 15 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_21642766a3ee419993539cc1b9b529f0 hal_primary_oai_HAL_hal_04705735v1 crossref_primary_10_5802_crphys_188 |
| PublicationCentury | 2000 |
| PublicationDate | 2024-01-01 |
| PublicationDateYYYYMMDD | 2024-01-01 |
| PublicationDate_xml | – month: 01 year: 2024 text: 2024-01-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationTitle | Comptes rendus. Physique |
| PublicationYear | 2024 |
| Publisher | Académie des sciences (Paris) Académie des sciences |
| Publisher_xml | – name: Académie des sciences (Paris) – name: Académie des sciences |
| References | Cirimele, V. (key2025102017042631143_13) 2020; 8 Lee, Z. J. (key2025102017042631143_7) 2020; 189 Larbi, M. (key2025102017042631143_11) 2018; 60 Sobol, I. M. (key2025102017042631143_17) 1990; 1 Rim, C. T. (key2025102017042631143_3) Eshani, M. (key2025102017042631143_1) 2005 key2025102017042631143_28 Marelli, S. (key2025102017042631143_41) 2014 Covic, G. A. (key2025102017042631143_30) 2013; 1 Ibrahim, M. (key2025102017042631143_31) 2014 Trinchero, R. (key2025102017042631143_14) 2019; 7 Delgado, A. (key2025102017042631143_23) 2022; 10 Lataniotis, C. (key2025102017042631143_45) 2022 Di Capua, G. (key2025102017042631143_24) 2021; 13 Cirimele, V. (key2025102017042631143_29) 2018; 54 Vapnik, V. N. (key2025102017042631143_40) 2000 Panchal, C. (key2025102017042631143_9) 2018; 21 Erickson, R. W. (key2025102017042631143_37) 2001 key2025102017042631143_5 Mitchell, M. (key2025102017042631143_42) 1998 key2025102017042631143_6 De Ridder, S. (key2025102017042631143_12) 2018; 8 key2025102017042631143_38 key2025102017042631143_39 Yilmaz, M. (key2025102017042631143_2) 2013; 28 Bosshard, R. (key2025102017042631143_35) 2013 Trinchero, R. (key2025102017042631143_15) 2018; 60 Fisher, T. M. (key2025102017042631143_4) 2014; 1 Bosshard, R. (key2025102017042631143_36) 2015; 3 key2025102017042631143_10 Pei, Y. (key2025102017042631143_26) 2022; 10 Marelli, S. (key2025102017042631143_44) 2022 Mahesh, A. (key2025102017042631143_8) 2021; 9 Searson, D. P. (key2025102017042631143_19) 2015 Kadem, K. (key2025102017042631143_34) 2020 Moustapha, M. (key2025102017042631143_18) 2022 Blatman, G. (key2025102017042631143_20) 2011; 230 Capua, G. D. (key2025102017042631143_22) 2021; 68 Suykens, J. A. K. (key2025102017042631143_21) 2002 Kadem, K. (key2025102017042631143_33) 2021; 14 Smits, G. F. (key2025102017042631143_43) 2005 Sudret, B. (key2025102017042631143_16) 2008; 93 Pei, Y. (key2025102017042631143_25) 2021; 13 Triviõ-Cabrera, A. (key2025102017042631143_27) Nayak, P. S. R. (key2025102017042631143_32) 2018 |
| References_xml | – volume: 14 issue: 13 year: 2021 ident: key2025102017042631143_33 article-title: Optimal coupler topology for dynamic wireless power transfer for electric vehicle publication-title: Energies doi: 10.3390/en14133983 – volume: 21 start-page: 922 issue: 5 year: 2018 ident: key2025102017042631143_9 article-title: Review of static and dynamic wireless electric vehicle charging system publication-title: Eng. Sci. Technol. Int. J. – volume: 13 issue: 11 year: 2021 ident: key2025102017042631143_25 article-title: Comparison of coupling coils for static inductive power-transfer systems taking into account sources of uncertainty publication-title: Sustainability – year: 2000 ident: key2025102017042631143_40 publication-title: The Nature of Statistical Learning Theory doi: 10.1007/978-1-4757-3264-1 – ident: key2025102017042631143_27 article-title: Wireless Power Transfer for Electric Vehicles: Foundations and Design Approach – ident: key2025102017042631143_38 article-title: J2954 : wireless power transfer for light-duty plug-in/electric vehicles and alignment methodology - SAE International – ident: key2025102017042631143_39 article-title: Software for Simulating Static and Low-Frequency Electromagnetics – volume: 1 start-page: 407 issue: 4 year: 1990 ident: key2025102017042631143_17 article-title: Sensitivity estimates for nonlinear mathematical models publication-title: Math. Model. Comput. Exp. – volume: 93 start-page: 964 issue: 7 year: 2008 ident: key2025102017042631143_16 article-title: Global sensitivity analysis using polynomial chaos expansions publication-title: Rel. Eng. Syst. Saf. doi: 10.1016/j.ress.2007.04.002 – start-page: 551 year: 2015 ident: key2025102017042631143_19 article-title: GPTIPS 2: an open-source software platform for symbolic data mining publication-title: Handbook of Genetic Programming Applications doi: 10.1007/978-3-319-20883-1_22 – volume: 230 start-page: 2345 issue: 6 year: 2011 ident: key2025102017042631143_20 article-title: Adaptive sparse polynomial chaos expansion based on least angle regression publication-title: J. Comput. Phys. doi: 10.1016/j.jcp.2010.12.021 – volume: 10 start-page: 91227 year: 2022 ident: key2025102017042631143_26 article-title: Fast shielding optimization of an inductive power transfer system for electric vehicles publication-title: IEEE Access doi: 10.1109/ACCESS.2022.3198953 – volume: 13 issue: 5 year: 2021 ident: key2025102017042631143_24 article-title: Analysis of dynamic wireless power transfer systems based on behavioral modeling of mutual inductance publication-title: Sustainability doi: 10.3390/su13052556 – volume: 60 start-page: 34 issue: 1 year: 2018 ident: key2025102017042631143_11 article-title: Variability impact of many design parameters: the case of a realistic electronic link publication-title: IEEE Trans. Electromagn. Compat. doi: 10.1109/TEMC.2017.2727961 – ident: key2025102017042631143_10 article-title: Electric Vehicles - Worldwide – Statista Market Forecast – ident: key2025102017042631143_5 article-title: J1772_202401 : SAE Electric Vehicle and Plug-in Hybrid Electric Vehicle, Conductive Charge Coupler - SAE International – volume: 68 start-page: 2196 issue: 3 year: 2021 ident: key2025102017042631143_22 article-title: Mutual inductance behavioral modeling for wireless power transfer system coils publication-title: IEEE Trans. Ind. Electron. doi: 10.1109/TIE.2019.2962432 – year: 2022 ident: key2025102017042631143_18 article-title: UQLab user manual – Support vector machines for regression publication-title: Report UQLab-V2.0-111, Chair of Risk, Safety and Uncertainty Quantification – year: 2002 ident: key2025102017042631143_21 publication-title: Least Squares Support Vector Machines doi: 10.1142/5089 – start-page: 1812 year: 2013 ident: key2025102017042631143_35 article-title: Optimized magnetic design for inductive power transfer coils publication-title: 2013 Twenty-Eighth Annual IEEE Applied Power Electronics Conference and Exposition (APEC), Long Beach, CA, USA, March doi: 10.1109/APEC.2013.6520541 – volume: 189 year: 2020 ident: key2025102017042631143_7 article-title: Pricing EV charging service with demand charge publication-title: Electr. Power Syst. Res. – volume: 7 start-page: 4056 year: 2019 ident: key2025102017042631143_14 article-title: Machine learning and uncertainty quantification for surrogate models of integrated devices with a large number of parameters publication-title: IEEE Access doi: 10.1109/ACCESS.2018.2888903 – volume: 1 start-page: 87 issue: 2 year: 2014 ident: key2025102017042631143_4 article-title: Electric vehicle wireless charging technology: a state-of-the-art review of magnetic coupling systems publication-title: Wireless Power Transf. doi: 10.1017/wpt.2014.8 – start-page: 2554 year: 2014 ident: key2025102017042631143_41 article-title: UQLab: a framework for uncertainty quantification in Matlab publication-title: Proceedings of the 2nd International Conference on Vulnerability, Risk Analysis and Management (ICVRAM2014), Liverpool, United Kingdom – year: 1998 ident: key2025102017042631143_42 publication-title: An Introduction to Genetic Algorithms – volume: 54 start-page: 4069 issue: 5 year: 2018 ident: key2025102017042631143_29 article-title: Inductive power transfer for automotive applications: state-of-the-art and future trends publication-title: IEEE Trans. Indus. Appl. doi: 10.1109/TIA.2018.2836098 – start-page: 1 year: 2018 ident: key2025102017042631143_32 article-title: Design and analysis of SS resonant IPT system with computed mutual inductance through FEM model publication-title: 2018 International Conference on Power, Instrumentation, Control and Computing (PICC), Thrissur, India, January doi: 10.1109/PICC.2018.8384758 – volume: 60 start-page: 1627 issue: 6 year: 2018 ident: key2025102017042631143_15 article-title: Machine learning for the performance assessment of high-speed links publication-title: IEEE Trans. Electromagn. Compat. doi: 10.1109/TEMC.2018.2797481 – year: 2014 ident: key2025102017042631143_31 publication-title: Wireless Inductive Charging for Electrical Vehicules: Electromagnetic Modelling and Interoperability Analysis – volume: 9 start-page: 137667 year: 2021 ident: key2025102017042631143_8 article-title: Inductive wireless power transfer charging for electric vehicles—a review publication-title: IEEE Access doi: 10.1109/ACCESS.2021.3116678 – volume: 8 start-page: 171489 year: 2020 ident: key2025102017042631143_13 article-title: Uncertainty quantification for SAE J2954 compliant static wireless charge components publication-title: IEEE Access doi: 10.1109/ACCESS.2020.3025052 – volume: 1 start-page: 28 issue: 1 year: 2013 ident: key2025102017042631143_30 article-title: Modern trends in inductive power transfer for transportation applications publication-title: IEEE J. Emerging Sel. Top.n Power Electron. doi: 10.1109/JESTPE.2013.2264473 – volume: 3 start-page: 50 issue: 1 year: 2015 ident: key2025102017042631143_36 article-title: Modeling and <span class="mathjax-formula" data-tex="$\eta $"><math xmlns="http://www.w3.org/1998/Math/MathML">η</math></span> - <span class="mathjax-formula" data-tex="$\alpha $"><math xmlns="http://www.w3.org/1998/Math/MathML">α</math></span> -pareto optimization of inductive power transfer coils for electric vehicles publication-title: IEEE J. Emerging Sel. Top. Power Electron. doi: 10.1109/JESTPE.2014.2311302 – volume: 8 start-page: 21 issue: 1 year: 2018 ident: key2025102017042631143_12 article-title: A generative modeling framework for statistical link analysis based on sparse data publication-title: IEEE Trans. Compon. Packag. Manuf. Technol. doi: 10.1109/TCPMT.2017.2761907 – year: 2020 ident: key2025102017042631143_34 publication-title: Modélisation et optimisation d’un coupleur magnétique pour la recharge par induction dynamique des véhicules électriques – start-page: 539 year: 2001 ident: key2025102017042631143_37 article-title: Inductor design publication-title: Fundamentals of Power Electronics doi: 10.1007/0-306-48048-4_14 – year: 2022 ident: key2025102017042631143_45 publication-title: UQLab user manual – The Input module, Report UQLab-V2.0-102, Chair of Risk, Safety and Uncertainty Quantification – start-page: 283 year: 2005 ident: key2025102017042631143_43 article-title: Pareto-front exploitation in symbolic regression publication-title: Genetic Programming Theory and Practice II doi: 10.1007/0-387-23254-0_17 – volume: 28 start-page: 2151 issue: 5 year: 2013 ident: key2025102017042631143_2 article-title: Review of battery charger topologies, charging power levels, and infrastructure for plug-in electric and hybrid vehicles publication-title: IEEE Trans. Power Electron. doi: 10.1109/TPEL.2012.2212917 – ident: key2025102017042631143_3 article-title: Wireless Power Transfer for Electric Vehicles and Mobile Devices | IEEE eBooks | IEEE Xplore – volume: 10 start-page: 7476 year: 2022 ident: key2025102017042631143_23 article-title: Self and mutual inductance behavioral modeling of square-shaped IPT coils with air gap and ferrite core plates publication-title: IEEE Access doi: 10.1109/ACCESS.2021.3138239 – year: 2005 ident: key2025102017042631143_1 article-title: Modern electric, hybrid electric and fuel cell vehicles publication-title: Fundamentals, Theory, and Design – year: 2022 ident: key2025102017042631143_44 publication-title: UQLab user manual – Polynomial chaos expansions, Report UQLab-V2.0-104, Chair of Risk, Safety and Uncertainty Quantification – ident: key2025102017042631143_28 article-title: Vehicle Initiative Consortium for Transport Operation and Road Inductive Applications – ident: key2025102017042631143_6 article-title: Charger Types and Speeds | US Department of Transportation |
| SSID | ssj0016403 |
| Score | 2.353983 |
| Snippet | This paper presents some metamodeling techniques to analyze the variability of the performances of an inductive power transfer (IPT) system, considering the... |
| SourceID | doaj hal crossref |
| SourceType | Open Website Open Access Repository Index Database |
| StartPage | 125 |
| SubjectTerms | Engineering Sciences Metamodels Multigene genetic programming algorithm Polynomial chaos expansions Support vector regression Wireless power transfer |
| Title | Analysis of inductive power transfer systems by metamodeling techniques |
| URI | https://hal.science/hal-04705735 https://doaj.org/article/21642766a3ee419993539cc1b9b529f0 |
| Volume | 25 |
| WOSCitedRecordID | wos001390425600009&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1878-1535 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0016403 issn: 1631-0705 databaseCode: DOA dateStart: 20200101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3PT4MwFH4xi0YvRqdm81caNd5wUFqgx7k4d1iWHTTZjdBSoof9yGBL9t_72o6pJy-eaEqB5nvQ974HfA_goYgUxXWRebjxPZbjky4x6vcE1TmTOg-FspYexqNRMpmI8Y9SX-abMCcP7IDrUIznaRxFWag1M__MhxyPV4EUklNRWLbux6ImU9v3BxHzQydGyhOfdpSZc_kU2Poq3-7HqvSjU_mok6jWqfRP4HgbDZKum8Up7OlZE1rd0uSn59MNeSS27dIPZRMOe3V9tiYcjF3vGbzWyiJkXhDk2Cu7hpGFKYBGKhuZYsNpNpdEbshUV5ktgYN-i-xUXMtzeO-_vPUG3rZAgqcw6qo8zbMgVLkqkOWhow6ZZHHmq6wIuMoCnsss0xQZiUaaF_qIvRC4W0qBNCkqkJteQGM2n-kWEMFFgsMU1SYrVIgE_RQzwzkrQppHbbivcUsXTgcjRf5g0E0duimi24ZnA-luhNGuth1o0XRr0fQvi7bhDg3y6xyD7jA1fT6LjYAjXweX_3GlKziiGKO4jMo1NKrlSt_AvlpXn-Xy1t5RX_BZ0Do |
| linkProvider | Directory of Open Access Journals |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Analysis+of+inductive+power+transfer+systems+by+metamodeling+techniques&rft.jtitle=Comptes+rendus.+Physique&rft.au=Pei%2C+Yao&rft.au=Pichon%2C+Lionel&rft.au=Bensetti%2C+Mohamed&rft.au=Le+Bihan%2C+Yann&rft.date=2024-01-01&rft.issn=1631-0705&rft.eissn=1878-1535&rft.volume=25&rft.issue=S1&rft.spage=125&rft.epage=139&rft_id=info:doi/10.5802%2Fcrphys.188&rft.externalDBID=n%2Fa&rft.externalDocID=10_5802_crphys_188 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1631-0705&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1631-0705&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1631-0705&client=summon |