Battery Cost Model | Technology Analysis

Name: Battery Technology and Cost Model
Uploaded: 2024-07-24T09:24:31+00:00
Duration: 2 min 48 s
Description: Battery Technology and Cost Model

Battery Technology and Cost Model

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Benchmark your battery cell costs and technology against the market

The energy transition is driving unprecedented demand for batteries, and each year new chemistries and manufacturing processes arrive with better cost, better performance, or both. At the same time, supply chains are localising and cost pressure is rising across every cell producer and OEM.

CRU's Battery Technology and Cost Model lets you benchmark your own battery bill of materials and process costs against cells already in production, including BYD Blade 1.0 (2025), Gotion High-tech's unified LFP cell (2025) and CATL's 314Ah energy cell (2023). Built on our raw material intelligence and battery engineering, it gives procurement, costing and strategy teams one basis for the decisions they each own, from supplier negotiation to cell-cost targets to where to build next.

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Data, insight and expertise

The battery cost model is updated regularly and built on CRU's raw material intelligence and battery technology expertise.

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Run scenarios and compare technologies

Forecast interchangeable production costs and performance metrics, including energy density, across technologies. Run granular bottom-up scenarios to see how a change in key inputs, such as raw material prices, moves the final cell cost.

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Flexibility

Prefer to build your own? The customisable online tool takes your battery chemistries, cell formats, component attributes, production methods, plant sizes and locations.

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Fully customisable

The Model is an online tool for analysing, comparing and forecasting battery production costs and performance by technology, company, location and raw material price, across hundreds of batteries, including next-generation cells.

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Key features

This is a working model you drive yourself. You can size costs, test what moves them, and hold your own cell data alongside the market, across a ten-year horizon and the regions that matter most.

Model hundreds of battery cell technology combinations.
Benchmark technologies using battery cell cost and energy density across a ten-year forecast, including next-generation cells.
Run battery cost scenario analysis to see how changes in parameters, including raw material prices, move cell costs.
Manage, review and update your own battery technologies in a dedicated online interface.
Review forecasts for key metrics, including raw material prices, across a ten-year horizon using CRU data.
Coverage across China, the USA, Europe, South Korea, Japan, the UK and Canada, including labour rates and labour cost.

FAQs

Q: How does CRU build its battery cell library?

CRU builds its cell library by replicating a cell’s physical and electrochemical characteristics as a digital model using data from cell teardown reports available to the company. These models are then combined with CRU proprietary forecasts to provide a performance and cost forecast for real-world cells.

Q: What macroeconomic assumptions does CRU's battery cost model use?

CRU’s battery cost model uses macroeconomic assumptions informed by primary research from CRUS’s Global Economics team, including regional electricity, gas and labour costs. These inputs feed into the Battery Cost Model.

Q: What next-generation battery technologies and chemistries does CRU’s battery cell model cover?

CRU’s battery cell model covers a range of novel cathode and anode active materials, with bespoke modelling also available to support specific client requirements.

Q: How does policy affect battery cell manufacturers and their strategy?

Policy affects battery cell manufacturers by influencing costs, strategic decisions, technology roadmaps, supply chains and emerging demand markets. CRU’s analysis assesses the impact of changing policies across the battery industry, including product, pack, cell and component manufacturers.

Why Choose Battery Technology and Cost Model?

CRU’s expertise across raw materials, combined with deep battery technology intelligence, means the model is built on data that’s hard to find elsewhere.

In a market where costs shift with raw material prices and new chemistries emerge each year, the wrong call on technology procurement is costly.

The model gives you the depth to respond with confidence and forecasts to plan strategically.

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