A Study on DID-based Vehicle Component Data Collection Model for EV Life Cycle Assessment


KIPS Transactions on Computer and Communication Systems, Vol. 12, No. 10, pp. 309-318, Oct. 2023
https://doi.org/10.3745/KTCCS.2023.12.10.309,   PDF Download:
Keywords: Decentralized Identity, Self-Sorverign Identity, Life cycle assessment
Abstract

Recently, each country has been moving to introduce an LCA (Life Cycle Assessment) to regulate greenhouse gas emissions. The LCA is a mean of measuring and evaluating greenhouse gas emissions generated over the entire life cycle of a vehicle. Reliable data for each electric vehicle component is needed to increase the reliability of the LCA results. To this end, studies on life cycle evaluation models using blockchain technology have been conducted. However, in the existing model, key product information is exposed to other participants. And each time parts data information is updated, it must be recorded in the blockchain ledger in the form of a transaction, which is inefficient. In this paper, we proposed a DID(Decentralized Identity)-based data collection model for LCA to collect vehicle component data and verify its validity effectively. The proposed model increases the reliability of the LCA by ensuring the validity and integrity of the collected data and verifying the source of the data. The proposed model guarantees the validity and integrity of collected data. As only user authentication information is shared on the blockchain ledger, the model prevents indiscriminate exposure of data and efficiently verifies and updates the source of data.


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Cite this article
[IEEE Style]
J. Kwon, S. Lee, J. Kim, S. Seo, "A Study on DID-based Vehicle Component Data Collection Model for EV Life Cycle Assessment," KIPS Transactions on Computer and Communication Systems, vol. 12, no. 10, pp. 309-318, 2023. DOI: https://doi.org/10.3745/KTCCS.2023.12.10.309.

[ACM Style]
Jun-Woo Kwon, Soojin Lee, Jane Kim, and Seung-Hyun Seo. 2023. A Study on DID-based Vehicle Component Data Collection Model for EV Life Cycle Assessment. KIPS Transactions on Computer and Communication Systems, 12, 10, (2023), 309-318. DOI: https://doi.org/10.3745/KTCCS.2023.12.10.309.