Interpretation of the CFP detailed rules of the EU Battery Regulation ② ~ A complete guide to the CFP detailed rules to comply with the EU Battery Regulation: Cut-off rules and DQR value Settings~
Zeroboard Inc. Sales Headquarters Solution Development Department Manager
Taku Nozoko
On April 30 , 2024, the "Methodology for the Calculation and Verification of the Carbon Footprint of Electric Vehicle Batteries" (tentatively referred to as the "CFP Calculation and Verification Rules") was published, presenting a methodology for calculating and verifying the carbon footprint of electric vehicle batteries. In response to this, on May 23, 2024, we published a column on our website explaining our interpretation of the EU Battery Regulation's draft CFP Rules. In that column, we introduced the functional units of carbon footprints (CFPs) defined in the draft CFP Rules, the component items designated as mandatory company-specific processes (processes required for calculation using primary data), and the ideal approach to data sharing across the supply chain. In this, our second installment, we would like to explain our interpretation of the items subject to calculation or cutoff, how to select datasets (Emission factor), and how to Settings DQR values.
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1. Items subject to calculation or cutoff
Regarding items subject to calculation or cut-off, we have categorized the Contents described in the CFP detailed rules and the items that are subject to actual battery Manufacturing sites, and identified items that require interpretation for judgment. In the discussion of interpretation, we will introduce the current status of discussions with third-party verification companies.
2. Data set (Emission factor) selection method
This paper explains the operational rules for how to Settings data sets (Emission factor ) , such as company-specific data sets and EF-compliant data sets, for each process type. At the same time, it introduces how to use LCDN to collect data sets.
3. How to Settings DQR
We explain how to interpret DQR values, how they are evaluated in terms of temporal representativeness, geographic representativeness, and technological representativeness, and how to calculate DQR scores. We also discuss the treatment of DQR in company-specific data sets provided by suppliers in the calculation process.
4. Conclusion
throughout the supply chain
GHG emission amount calculation/visualization,
For centralized management of environmental items
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<Reference source>
*1: Source: Detailed rules for CFP calculation and verification (draft):
https://ec.europa.eu/info/law/better-regulation/have-your-say/initiatives/13877-Batteries-for-electric-vehicles-carbon-footprint-methodology_en*2: Source: Annex to the detailed rules (draft) for CFP calculation and verification:
https://ec.europa.eu/info/law/better-regulation/have-your-say/initiatives/13877-Batteries-for-electric-vehicles-carbon-footprint-methodology_en*3: Source: ISO14040: https://kikakurui.com/q/Q14040-2010-01.html
*4: Source: Life Cycle Data Network (LCDN): https://eplca.jrc.ec.europa.eu/LCDN/
*5: Source: Dataset registered PEF/OEF: https://eplca.jrc.ec.europa.eu/LCDN/datasetListEF.html
*6: Source: Nodes registered PEF/OEF: https://eplca.jrc.ec.europa.eu/LCDN/contactListEF.html
