Updated December 3, 2025

Battery manufacturing is a highly complex process, involving dozens of steps from sourcing raw materials to final cell formation and aging. This complexity often translates into high costs and quality challenges, with manufacturing accounting for up to 25% of the cost of lithium-ion batteries.

One of the biggest hurdles, however, is managing the vast amount of data generated at each stage. Much of it remains siloed in spreadsheets or even recorded on paper. As a result, manufacturers struggle with traceability, efficiency, and quality control.

A digitized bill of materials in battery manufacturing — also known as a manufacturing traveler — is changing the game. By threading data across every production step, manufacturers gain real-time visibility, proactive quality control, and more efficient recall management.

What Is a Digitized Bill of Materials in Battery Manufacturing?

A digitized bill of materials (BOM) acts as a digital thread throughout the production lifecycle. Instead of trapping data in disconnected systems, it creates a single source of truth that tracks every process parameter, from electrode preparation to electrochemistry activation.

How the Manufacturing Traveler Works
For example, the digitized BOM follows each component through the production line, recording material sourcing, process steps, and quality checks. In addition, it links this data with test results from techniques like XRD or SEM, which are often isolated in traditional workflows.

Benefits of a Digitized BOM vs. Traditional BOMs
As a result, manufacturers gain near real-time insight into production status, bottlenecks, and anomalies. Moreover, they can act on this information quickly, improving quality control and reducing waste before issues escalate.

With this approach, manufacturers gain near real-time insight into:

• Production status and component history

• Performance metrics across each stage

• Bottlenecks and process anomalies

The result is more reliable quality control and fewer costly surprises at the end of the production line.

A typical manufacturing process for lithium ion batteries, including electrode preparation, cell assembly, cell formation and finishing, can produce enormous amounts of data that can only be practically managed with a data analytics solution. Source

Why Traditional Battery Manufacturing Faces Data Challenges

Battery production generates enormous volumes of data, including hundreds of process parameters and sophisticated test results. However, when these data streams remain siloed, it becomes nearly impossible to:

• Trace the root cause of defects

• Correlate field performance with production conditions

• Manage recalls efficiently

• Maintain consistency across large-scale operations

Consequently, costs rise while innovation slows.

Centralized Data Improves Recall Management

High-profile recalls, such as the Chevy Bolt and Hyundai incidents in 2021 that cost over $2 billion, highlight the risks of fragmented data. A digitized bill of materials in battery manufacturing addresses this challenge by centralizing data into a single, searchable record.

As a result, manufacturers can:

• Pinpoint affected assets during recalls in minutes

• Reduce the scope and cost of recalls

• Protect brand trust and customer safety

In addition, for giga factories managing diverse equipment and software, the digitized BOM acts as a universal translator, ensuring data interoperability across the entire production line.

Real-Time Insights for Proactive Quality Control

Traditionally, manufacturers discovered defects only at the end of production, leading to costly rework and delays. With real-time monitoring enabled by a digitized BOM, however, issues like coating defects, welding errors, or electrolyte leaks can be identified as they happen.

For example:

• Immediate corrective actions prevent widespread defects

• Downtime and waste are minimized

• Product reliability and safety improve significantly

• Up to 94% of available process data can be captured

Moreover, when combined with machine learning tools like Peaxy Predict, threaded data enables predictive algorithms that forecast cell quality and performance early in the process.

A typical LIB manufacturing workflow illustrates the different CBD and AM particle sizes, with the fully lithiated state in red and fully de-lithiated state in blue. With a manufacturing traveler as part of a battery analytics solution, manufacturers can track key process parameters at each step to quickly identify anomalies, eliminating costly rework and allowing for the retention of valuable data about the eventual manufactured cell later in its lifecycle. ¹

Supporting Battery Lifecycle Intelligence and Sustainability

The value of a digitized bill of materials in battery manufacturing extends far beyond production. By threading manufacturing data with operational performance, manufacturers can support global initiatives like the battery passport— a standardized digital record of chemistry, sourcing, state of health, and chain of custody.

This lifecycle intelligence enables:

• Safer second-life deployments

• Smarter recycling strategies

• Compliance with emerging regulations

Key Takeaways for Manufacturers

By adopting a digitized BOM with a solution like Peaxy Build, battery manufacturers gain:

• Improved quality control through real-time tracking

• Efficient recall management with centralized data

• Deeper root cause analysis for defect prevention

• Optimized production workflows for lower operational cost

Specialized analytics tailored for batteries deliver far greater value than generic software by interpreting complex metrics such as state of charge (SoC), state of health (SoH), and charge/discharge cycles. The outcome is more informed decision-making, reduced downtime, and longer-lasting products.

Conclusion

The digitized bill of materials in battery manufacturing is not just a digital upgrade — it’s a competitive edge. By connecting every stage of production into a unified data thread, manufacturers can improve quality, cut operational costs, and meet rising sustainability expectations across the entire lifecycle.

Frequently Asked Questions (FAQ):

Q1. What is a digitized bill of materials in battery manufacturing?
A digitized BOM (often called a “manufacturing traveler”) is a unified, digital record that threads materials, process parameters, tests, and handoffs across every production step—creating a single source of truth for quality, traceability, and cost control.

Q2. How does a digitized BOM improve quality control?
By centralizing data and capturing it in near real time (up to ~94% of available data), manufacturers can detect anomalies early—like coating uniformity issues, welding defects, or electrolyte leaks—so corrective actions happen before defects propagate.

Q3. Can a digitized BOM reduce operational cost?
Yes. Early defect detection cuts rework and scrap; streamlined traceability reduces time spent on investigations; and process analytics expose bottlenecks to optimize throughput—collectively lowering operational cost.

Q4. How does it help with recalls and regulatory audits?
A digitized bill of materials in battery manufacturing enables rapid, targeted recall scopes by pinpointing affected cells, subcomponents, batches, and process settings—minimizing cost and brand risk while simplifying audit responses.

Q5. How does a digitized BOM integrate with diverse factory equipment?
It acts like a “universal translator,” normalizing heterogeneous machine interfaces and data models across electrode prep, cell assembly, and formation/aging so analytics work end-to-end.

Q6. Does this support battery lifecycle intelligence and the battery passport?
Yes. Threaded manufacturing data can flow into lifecycle records (SoH/SoC, chain of custody), supporting battery passport initiatives and enabling safer second-life and recycling decisions.

Q7. What’s the role of ML with a digitized BOM?
With historical, threaded data, ML models (e.g., Peaxy Predict) can forecast cell quality/performance during formation and earlier—turning the traveler into a proactive quality signal.

Q8. Why choose a specialized platform over “home-grown” tools?
Battery data are multi-dimensional and domain-specific; specialized platforms interpret SoC/SoH, cycles, and formation profiles more accurately, improving predictions, uptime, and decision-making.

^{1 C. Sangrós Giménez, C. Schilde, L. Froböse, A. Kwade, Energy Technol. 2020, 8, 1900180. Copyright 2021}