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Analytical methods for the extraction of solar-cell single- and double-diode model parameters from I-V characteristics
Abstract
Analytical solutions for the rapid extraction of single- and double-diode model parameters from experimental data are described. The resulting parameters' values are shown to have less than 10 percent error for most solar cells. Error contours are also illustrated to define the range of validity of these methods.
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Cited by
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Parameter extraction of solar photovoltaic modules using penalty-based differential evolution
Ishaque, K., Salam, Z., Mekhilef, S., & Shamsudin, A. (2012) · Applied Energy · doi:10.1016/j.apenergy.2012.05.017 · Cited by 351
Allam, D., Yousri, D. A., & Eteiba, M. B. (2016) · Energy Conversion and Management · doi:10.1016/j.enconman.2016.06.052 · Cited by 328
Abdulrazzaq, A. K., Bognár, G., & Plesz, B. (2025) · Journal of Computational Electronics · doi:10.1007/s10825-025-02282-w · Cited by 25
Metadata
- Authors
- Chan, D. S. H., & Phang, J. C. H.
- Venue
- IEEE Transactions on Electron Devices
- Published
- 1987-02
- Volume
- 34
- Issue
- 2
- Pages
- 286-293
- ISSN
- 0018-9383 (ISSN-L)
- 1557-9646
- OpenAlex
- W1993386311
- Cited by
- 694
- References
- 0
- FWCI
- 0.59
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Analytical methods for the extraction of solar-cell single- and double-diode model parameters from I-V characteristics. https://app.cochat.ai/papers/10.1109/t-ed.1987.22920
- The paper
- Chan, D. S. H., & Phang, J. C. H. (1987). Analytical methods for the extraction of solar-cell single- and double-diode model parameters from I-V characteristics. IEEE Transactions on Electron Devices. https://doi.org/10.1109/t-ed.1987.22920
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
