Carbon footprint in the battery passport: the JRC141282 methodology explained

In May 2025, the EU Joint Research Centre published the report JRC141282, the technical guidance on how industrial batteries over 2 kWh must calculate and document their carbon footprint in line with Article 7 of the Battery Regulation. It follows the same principle as the EV methodology already published, and builds on the EU Product Environmental Footprint (PEF) method combined with the battery-specific PEFCR.

For manufacturers, this is where it gets complicated. It is not enough to count CO₂. You must calculate kg CO₂e per kWh delivered over the battery's whole lifetime, divide the emissions across four life cycle stages, document data quality with a Data Quality Rating, apply the Circular Footprint Formula to the recycling stage, and be able to present the whole calculation chain to a notified body. Later, from 2027 and 2028, the result is compared with performance class thresholds that determine whether the battery can be sold on the European market at all.

This article explains how the JRC141282 methodology works in practice, where the biggest pitfalls lie, and which documentation structure must be in place before the first batch is produced.

What does Article 7 require?

Article 7 of the Battery Regulation requires a carbon footprint declaration for three battery categories: EV batteries, rechargeable industrial batteries over 2 kWh, and LMT batteries. The declaration must be prepared per battery model per manufacturing plant, not as a company average, but specifically for each combination of model and plant.

The declaration must contain:

• The total carbon footprint expressed in kg CO₂ equivalents per kWh of energy delivered over the battery's expected lifetime
• A breakdown by life cycle stage: raw materials, production, distribution, end of life and recycling
• Manufacturer, model and plant-specific identification information
• A reference to the specific PEFCR version used
• Verification by a notified body

The declaration must be included in the battery's digital battery passport, and it must be accessible via the QR code on the battery.

How do PEF, PEFCR and JRC141282 fit together?

The carbon footprint calculation is not a stand-alone model. It builds on a stack of existing EU methodologies:

For a manufacturer, this means you cannot just choose an LCA method at your own discretion. You must follow this stack, and be able to document that every calculation is consistent with PEF, the PEFCR and the relevant JRC report or delegated act for your battery category.

The four life cycle stages, and what is included

The carbon footprint calculation must be divided across four life cycle stages. Note that the use phase, the battery being charged and discharged by the end-user, is not part of the calculation. This is because emissions in the use phase depend on the specific electricity grid and usage pattern, not on the battery's own design.

• Raw material acquisition and pre-processing. Extraction of lithium, cobalt, nickel, graphite, copper and other raw materials, and their pre-processing until they enter the battery manufacturing facility. Transport between extraction and pre-processing is included.

• Production (manufacturing). Cell, module and battery production, including electricity and heat use at the plant. Certain processes are explicitly excluded, such as packaging (assessed as negligible by the PEFCR), cooling systems not physically integrated into the battery, and auxiliary consumption such as office heating.

• Distribution. Transport from the manufacturing plant to the point of sale in the EU. Mode (ship, rail, road) and distance are modelled. Default scenarios are defined in the PEFCR, but manufacturers can document actual conditions for a lower emissions allocation.

• End of life and recycling. Collection, dismantling and recycling. The calculation uses the Circular Footprint Formula (CFF), which balances recycled content from the production stage with recyclability at end of life. The manufacture of recycling equipment itself is explicitly excluded.

Each life cycle stage must be reported separately in the declaration, not just as a total. This allows a differentiated performance class assessment and makes it possible to identify where in the life cycle the biggest reduction potentials lie.

The Circular Footprint Formula: where recycled content meets carbon

The calculation for the end-of-life stage is not trivial. The EU has chosen the Circular Footprint Formula (CFF), which differs from simple "average" recycling models by allocating benefits and burdens both to the manufacturer that uses recycled material and to the manufacturer that designs for recyclability.

In practice, this has two consequences that link directly to the recycled content declaration:

• Recycled content reduces the calculated carbon footprint. If a battery contains 16% recycled cobalt, the CFF allocates part of the emissions saving achieved by recycling to the new battery. This gives a carbon benefit, but only if the recycled content can be documented with mass balance certificates (see ISO 22095).
• Recyclability at end of life gives future credit. A battery designed for easy disassembly and high material recovery (see the JRC's 15 disassembly parameters) gets part of the future saving allocated to the current calculation.

The CFF thereby ties together three seemingly separate compliance areas: carbon footprint (Article 7), recycled content (Article 8) and removability (Article 11). A manufacturer that sees them as three independent projects loses the opportunity to let investments in one area improve the result in another.

The functional unit: why lifetime decides the result

The carbon footprint is expressed as kg CO₂e per kWh delivered over the battery's service life. It is an overall efficiency metric, not an absolute emissions value. Two batteries with identical production emissions can end up with very different carbon footprints if one has twice the cycle life of the other.

For industrial batteries, JRC141282 distinguishes between two main categories based on the usage pattern:

• REP (Repetitive Energy Supply): Batteries that cycle often, typically stationary energy storage connected to solar panels or grid balancing. The functional unit is 1 kWh delivered until the battery reaches 80% of its original capacity (end of life).
• OND (On-Demand): Batteries that stand by and are only activated during a power failure, typically UPS systems. The functional unit is 1 kWmin of backup power until end of life, as the usage pattern is not cycle-based.

This means that performance and durability data from Article 10 (declared lifetime in cycles or years) becomes direct input to the carbon footprint calculation. If the battery does not deliver the declared lifetime in practice, the actual CO₂ efficiency drops, and a revision of the Article 7 declaration may become necessary.

The exclusion of the use phase from the calculation has an interesting consequence for design strategy: round-trip efficiency becomes one of the strongest design parameters for lowering the total footprint. A battery with 95% round-trip efficiency delivers more real energy per unit of production emissions than an equivalent battery with 85%. As the denominator of the formula is the energy actually delivered over the lifetime, high efficiency and a long life compensate for high production emissions, and conversely a short life and poor efficiency penalise even a "cleanly" produced battery. Efficiency and lifetime are therefore not just performance parameters, but carbon levers.

Data Quality Rating and the Tier 2/3 trap

The PEF methodology requires every data point to be assessed with a Data Quality Rating (DQR). The DQR covers, among other things, technological representativeness, geographical representativeness, temporal representativeness and precision. For the "most relevant processes", defined as those that together contribute more than 80% of the total carbon footprint, there are particularly strict data quality requirements.

This creates a concrete challenge in practice. The manufacturer typically has good primary data for its own production (Tier 1) and can often get it from direct suppliers (Tier 2). But the deeper you go into the supply chain (Tier 3, Tier 4 and beyond), the more you have to rely on secondary data sets, typically from databases such as ecoinvent or PEF-compatible data sets.

Secondary data sets are conservative by design. They often use average values for a region or a production technology, and they typically include a safety margin for uncertainties. The result is that the less primary data you have, the higher your calculated carbon footprint becomes, even if your actual footprint may be lower.

For manufacturers competing for performance class A or B, this means that collecting primary data from Tier 2/3 suppliers can be decisive. A supplier that will not share its process data forces you to use default values that can cost you a whole class on the final label.

Performance classes and maximum thresholds

The carbon footprint declaration is not an end in itself. It is part of a larger regulatory system that gradually transforms the carbon footprint from an information obligation into an access requirement.

Three layers are activated in sequence:

• Layer 1: Declaration obligation. The manufacturer must calculate and disclose its carbon footprint. The deadlines have been postponed to 12 months (EV) and 18 months (industrial) respectively after the delegated acts are adopted. LMT follows from 2028.

• Layer 2: Performance classes. Batteries are classified on a scale (expected to be A-G) based on their carbon footprint. The class must appear on the battery's label and makes it possible for buyers and authorities to compare batteries across manufacturers at a glance. Scheduled to be activated for EV around 2026 and industrial batteries around 2027.

• Layer 3: Maximum thresholds. The Commission sets a maximum carbon footprint per category. Batteries exceeding the threshold cannot be placed on the European market. Expected to be activated in 2027-2030 depending on the category.

For manufacturers, this means the carbon footprint calculation is not a one-off deliverable. It must be possible to update it as data quality improves, suppliers change and the energy mix in production changes. A battery that is class C in 2026 can become class B in 2028 if Tier 3 data improves, or drop to class D if a critical supplier is replaced by a less well-documented one.

Three traps that cost you a performance class

Three mistakes recur among manufacturers that have just started carrying out carbon footprint calculations:

Trap 1: Collecting data once rather than systematically. The carbon footprint calculation must be updated with every significant change in the supply chain, the energy mix or the production process. A manufacturer that sets up the calculation as an external consultancy project and not as an internalised data pipeline will find that redoing it costs just as much next time.

Trap 2: Underestimating electricity modelling. Electricity use in production is often the single largest item in the carbon footprint, and it is very sensitive to how the electricity is documented. The PEF method allows the use of specific grid data or contractual instruments (REGOs, GOs), but only if the documentation meets the method's requirements. A generic "we use green electricity" claim without the correct instruments is not accepted.

Trap 3: Treating the CFF as a black box. The Circular Footprint Formula is complex, and most manufacturers leave the calculation to external LCA software without understanding the parameters. This means they do not know how sensitive the result is to, for example, changes in the recycled content allocation, the recyclability rate or the material quality ratios between life cycle stages. When a notified body asks questions about the CFF inputs, the manufacturer does not have the answer.

Verification: the administrative bottleneck

Every carbon footprint declaration must be verified by a notified body before the battery can be placed on the market. It is not a formality: it is a technical audit, where the verifier must be able to follow the calculation from raw data all the way to the declared value, and be able to challenge the data quality of all "most relevant processes".

This sets a requirement worth taking seriously: the documentation must be audit-ready from day one, not something that can be reconstructed afterwards. The verifier expects to see a coherent chain from purchasing data, energy use per batch, supplier certificates and CFF parameters, not a collection of PDF reports and spreadsheets that have to be pieced together at the last minute.

On top of that comes the capacity problem. Notified bodies are limited in number, and all manufacturers within the same battery category will seek verification around the same deadline. Manufacturers that establish the relationship with a notified body early and can present audit-ready documentation before the peak period get ahead in the queue. Those who wait to structure data until 2027 or 2028 risk having a finished battery but an unfinished declaration, and therefore delayed market access.

A practical strategy is to open the dialogue with a verifier already in the design phase, a so-called pre-assessment. This makes it possible to get concrete feedback on whether the data quality in the Tier 2/3 supply chain is sufficient before the calculation is finished. It is far cheaper to adjust the data collection strategy early than to discover gaps when the finished battery is ready for the market. A pre-assessment is not a formal approval, but a risk reduction, and it signals to the chosen notified body that you are a serious candidate, which can matter in practice for capacity allocation later.

Timeline: when does what take effect?

It should be noted that the exact deadlines for the carbon footprint declarations depend on when the Commission adopts the delegated acts that set the final methodology. For EV batteries, the original February 2025 deadline was delayed and is tied to the entry into force of the delegated act plus 12 months. For industrial batteries, an 18-month deadline after the relevant delegated act applies.

The expected milestones:

• EV batteries: Declaration from the delegated act + 12 months. Performance class from 18 August 2026 or +18 months after the delegated act.
• Industrial batteries >2 kWh (without external storage): Declaration from 18 February 2026 or +18 months after the delegated act. Performance class from 18 August 2027.
• LMT batteries: Declaration from 18 August 2028 or +18 months after the delegated act. Performance class from 18 February 2030.
• Industrial batteries with external storage (flow batteries etc.): Declaration from 18 August 2030 or +18 months after the delegated act.

The actual dates may move depending on the regulatory process, but the direction is clear: by 2030, all three major battery categories will be subject to a mandatory carbon footprint declaration, and most of them also to a performance class assessment.

What the battery passport does differently

The carbon footprint declaration is one of the most data-heavy and evolving sections of the digital battery passport. Unlike a static product dimension, it must be possible to update it when Tier 2/3 supplier data improves, the energy mix changes, or a delegated act updates the methodology. It must also be linked to the recycled content declaration via the CFF, and to the disassembly documentation via the recyclability input.

In practice, this means the carbon footprint cannot exist as an isolated PDF report. It must be a living declaration in a data pipeline that draws on ERP (energy purchasing, supplier data), MES (actual energy use per batch), quality management (recycled content certificates) and product documentation (cycle life, disassembly parameters). A central compliance platform, a single source of truth, is in practice the prerequisite for maintaining the declaration over the battery's life while meeting the 10-year audit trail requirement.

What you can do now

For manufacturers of industrial, EV and LMT batteries, four steps are worth taking already:

• Set up a primary data strategy for Tier 2/3 suppliers. Which suppliers can share PEF-compatible process data? Which cannot? Where in the supply chain are the largest carbon contributions, and where are you forced to use conservative defaults?
• Model your electricity use correctly. Site-specific electricity, REGOs/GOs or contractual instruments must be documented according to the PEF method's requirements. General "green electricity" claims without evidence cost you a performance class.
• Understand your CFF parameters. Recycled content (R1), recyclability (R2) and quality ratios (Qsout/Qp) are not just environmental figures. They are your levers for moving the performance class. Make sure the LCA team can explain them to management, and to the notified body.
• Structure the data flow, not just the calculation. The carbon footprint declaration must be updated regularly over the battery's life. A one-off consultancy project solves the problem for one version; a data architecture solves it for all future versions.

The carbon footprint is, together with recycled content, the compliance burden that most directly translates into competitive parameters in the market. A manufacturer that achieves class A can market itself on it. A manufacturer above the maximum threshold cannot sell in the EU. The difference lies not only in the design, but in the data quality and the documentation structure, and that architecture must be designed now.

The use phase is excluded from the calculation: it depends on the grid and usage pattern, not the battery's design.