Comparative LCA Case Study: EV Battery vs ICE System | DEISO

Comparative LCA of an EV Battery Pack and an ICE Powertrain System

This illustrative case study demonstrates how DEISO can structure a comparative life cycle assessment between two alternative vehicle propulsion-related product systems: an electric vehicle battery pack and an internal combustion engine powertrain system. The purpose is to show how side-by-side LCA can support technology comparison, design decisions, and strategic environmental evaluation.

Case Positioning

This is an illustrative technical case study prepared to demonstrate DEISO’s comparative LCA approach. It does not represent a real client engagement, a real vehicle manufacturer, or confidential product data. It is intended as a representative scenario showing how comparative lifecycle thinking can reveal environmental trade-offs between two alternative technology pathways.

Scenario Overview

• Comparison type: Product-versus-product comparative LCA
• Option A: EV battery pack for passenger vehicle application
• Option B: ICE powertrain component system for passenger vehicle application
• Goal: Evaluate relative environmental burdens and trade-offs
• Assessment focus: Impact comparison across categories, normalized interpretation, and sensitivity analysis
• Decision relevance: Product strategy, procurement, design evaluation, and technology transition insight

Business Context

Organizations comparing electrified and conventional technologies often need more than a headline carbon number. They need a structured understanding of where the burdens occur, which impact categories shift, and how sensitive the result is to assumptions such as electricity mix, recycling rates, and system boundaries. This is especially important in product design, procurement, and strategic communication.

In this illustrative case, the comparison focuses on the product-stage environmental profile while also introducing use-phase sensitivity logic. This allows decision-makers to see why simplified claims can be misleading when lifecycle stages are excluded or when assumptions remain implicit.

DEISO Technical Approach

DEISO’s methodological workflow for this type of comparative LCA includes:

• Clarification of functional equivalence and comparison objective
• Definition of system boundaries and lifecycle stages
• Compilation of material, manufacturing, and logistics data for each option
• Impact assessment across multiple environmental categories
• Normalization and side-by-side interpretation of results
• Sensitivity analysis for key assumptions such as grid mix, recycling, and use-phase conditions

Illustrative Results Summary

Product-Stage Comparison

At the manufacturing and product stage, the EV battery pack showed higher impacts across all illustrated environmental categories. The largest divergence was observed in mineral resource scarcity, followed by global warming potential and acidification potential. This reflects the material intensity and upstream processing requirements associated with lithium-ion battery production.

Category-Level Insight

The comparison demonstrates that the environmental difference between product options is not uniform across categories. Climate change, resource depletion, and acidification each behave differently depending on material composition, energy source, and system design. For this reason, comparative LCA should not rely on a single indicator alone.

Sensitivity Effects

Sensitivity analysis showed that low-carbon electricity sourcing and improved recycling can materially reduce the manufacturing-stage burden of the EV battery system. However, under the product-stage-only comparison, the ICE powertrain system remained lower in environmental burden. When extended use-phase assumptions and a decarbonized grid were considered, the EV pathway became more favorable at the broader system level.

Hotspot Interpretation

EV Battery Pack

The dominant hotspots for the EV battery system were raw material extraction and refining, especially for critical minerals and battery-grade materials. Manufacturing energy also contributed meaningfully, while transport and end-of-life were secondary in comparison.

ICE Powertrain System

For the ICE powertrain system, impacts were more strongly linked to metals production, casting, machining, and component manufacturing. The burden profile was less dominated by mineral scarcity than the EV option, but still environmentally significant.

Strategic Implications

This illustrative case shows why decision-makers need comparative LCA rather than simplified environmental claims. A product system that is more burdensome during manufacturing may still perform better under full lifecycle conditions if its use phase benefits are substantial. Conversely, a lower-burden manufacturing option may not remain favorable once operation-phase emissions are included.

The case also shows that comparative LCA is highly sensitive to boundary definition, data assumptions, and scenario design. Therefore, it is most valuable when treated as a structured decision-support method rather than a marketing simplification.

Decision Guidance

• Use comparative LCA when evaluating alternative designs or technologies
• Ensure functional equivalence is clearly defined before comparison
• Interpret multiple impact categories rather than carbon alone
• Test sensitivity to electricity mix, recycling, and system boundary assumptions
• Use scenario analysis to avoid misleading conclusions from product-stage-only results

Conclusion

This illustrative comparative LCA demonstrates how side-by-side environmental analysis can reveal the real trade-offs between an EV battery system and an ICE propulsion-related alternative. By organizing results across multiple categories, normalizing differences, and testing sensitivity assumptions, DEISO helps decision-makers move beyond simplified narratives toward more robust environmental evaluation.

For organizations working on product strategy, technology transition, procurement, or technical communication, this type of comparative LCA can provide the analytical foundation needed for stronger and more defensible decisions.