Short answer
To achieve cost-competitiveness in electric vehicles, design and manufacturing strategies must be aligned with achieving high-volume, automated battery production.
- Field
- Final Production
- Source
- Academic Publication (2019)
- Method
- Modelling and Simulation
- Evidence
- Strong effect
Increasing annual production volume of lithium-ion battery packs to 500,000 units, through high automation, can substantially lower manufacturing costs per unit. This final production research insight is drawn from a 2019 study published in Academic Publication. Using Modelling and simulation, researchers explored how this design variable affects real-world outcomes. The key design takeaway: To achieve cost-competitiveness in electric vehicles, design and manufacturing strategies must be aligned with achieving high-volume, automated battery production.
Automated battery production at 500,000 units/year significantly reduces per-unit cost
Increasing annual production volume of lithium-ion battery packs to 500,000 units, through high automation, can substantially lower manufacturing costs per unit.
Academic Publication · 2019
Key Findings
- 01Higher production volumes (up to 500,000 EV batteries per year) enable greater automation.
- 02Increased automation leads to lower capital equipment and labor costs per unit produced.
- 03The model provides estimates for present-day and projected future costs based on production scale.
Application
Design takeaway
To achieve cost-competitiveness in electric vehicles, design and manufacturing strategies must be aligned with achieving high-volume, automated battery production.
How to apply
When designing a new battery pack, use cost-modeling tools that incorporate production volume to predict the per-unit cost at different scales. This will inform decisions about design complexity and manufacturing partnerships.
Project actions
- 01When designing a product, research the typical production volumes for similar items.
- 02Consider how automation could impact the cost and feasibility of your design at different scales.
- 03Use cost-estimation tools that allow you to input production volume as a variable.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Provides a detailed, bottom-up approach to battery cost modeling.
- +Accounts for various stages of the manufacturing process.
- +Includes projections for future costs based on production scale.
Limitations
It can be difficult to get precise cost data for different production volumes without access to proprietary manufacturing information. Real-world costs can also be affected by factors not included in simplified models.
Reliability & validity
The model's reliability is supported by its peer-reviewed nature and iterative refinement based on user feedback. Validity is established by its bottom-up calculation approach, which aims to reflect real-world manufacturing costs.
Think critically
To what extent can design choices themselves influence the achievable production volume and level of automation, thereby impacting cost?
Design Principles
"Economies of scale in manufacturing, driven by automation and high production volumes, are a primary lever for cost reduction in complex product systems like electric vehicle batteries."
This insight is critical for designers and engineers involved in electric vehicle development. Understanding the cost implications of production scale allows for informed decisions regarding battery pack design, material selection, and manufacturing strategy, ultimately impacting the economic viability and market competitiveness of electric vehicles.
What This Means for Your Design
Making lots of batteries (like 500,000 a year) with robots is much cheaper for each battery than making only a few.
How to use in your project
- 1.Reference this research when discussing the cost implications of your design choices, particularly if you are considering mass production.
- 2.Use the concept of economies of scale to justify design decisions that might be more expensive initially but become cheaper at higher volumes.
Add to My Project
Quick Cite
Paragraph starter
Research indicates that increasing the annual production volume of lithium-ion battery packs to 500,000 units, coupled with high levels of automation, can significantly reduce the manufacturing cost per unit. This principle of economies of scale is a critical consideration for designing cost-effective electric vehicle components, as it directly influences the feasibility and market competitiveness of the final product.
Source
Academic Publication
Modeling the Performance and Cost of Lithium-Ion Batteries for Electric-Drive Vehicles, Third Edition
journal · 2019
View sourceQuestions About This Research
- What does the research say about automated battery production at 500,000 units/year significantly reduces per-unit cost?
- To achieve cost-competitiveness in electric vehicles, design and manufacturing strategies must be aligned with achieving high-volume, automated battery production. Evidence: Academic Publication (2019).
- Why does "Automated battery production at 500,000 units/year significantly reduces per-unit cost" matter for design?
- This insight is critical for designers and engineers involved in electric vehicle development. Understanding the cost implications of production scale allows for informed decisions regarding battery pack design, material selection, and manufacturing strategy, ultimately impacting the economic viability and market competitiveness of electric vehicles.
- How can designers apply this research?
- To achieve cost-competitiveness in electric vehicles, design and manufacturing strategies must be aligned with achieving high-volume, automated battery production.
- What were the main findings?
- Higher production volumes (up to 500,000 EV batteries per year) enable greater automation.. Increased automation leads to lower capital equipment and labor costs per unit produced.. The model provides estimates for present-day and projected future costs based on production scale.
- What research method was used?
- Modelling and Simulation.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2019 journal from Academic Publication.
- What should I do differently in my next project?
- When designing a new battery pack, use cost-modeling tools that incorporate production volume to predict the per-unit cost at different scales. This will inform decisions about design complexity and manufacturing partnerships.
- What are the limitations?
- The model's accuracy is dependent on the input data and assumptions regarding manufacturing processes, material costs, and automation levels. Projections for future costs are subject to market fluctuations and technological advancements.