Machine Learning Enhanced Acoustic Inspection to Improve Battery Manufacturing

Feasible, Inc.

Recipient

Emeryville, CA

Recipient Location

9th

Senate District

15th

Assembly District

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$1,000,000

Amount Spent

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Active

Project Status

Project Update

In 2022 Feasible rebranded Liminal and officially launced its EchoStat platform - a fully-automated commercial-ready manufacturing inspection solution that improves the reliability of EV batteries based on ultrasound and machine learning. EchoStat’s core technology has been validated across 50 different cell types by six EV OEMs and seven cell manufacturers. Liminal remains in active product evaluations with major battery cell manufacturers and auto OEMs. The development of EchoStat automated solutions for battery manufacturing production lines is well underway and is currently available for pouch and prismatic cells. Cylindrical cell inspection solutions will be available in the near future. A limited number of production-scale validation partners will be accepted in 2023.

The Issue

With California facing both the threats of both wildfires and power outages, lower-cost and more reliable batteries are a critical part of the solution to both transportation and power grid problems, as they enable widespread adoption of electric vehicles (EV) and energy storage systems (ESS). Innovations for process inspection of batteries has the potential to improve the cost, efficiency, and reliability of battery manufacturing. As cells have grown in size and energy density, standard inspection methods are less sensitive to physical variations that affect quality.

Project Innovation

This project supports the development of a machine-learning-driven battery inspection platform, called EchoStat, that uses ultrasound and data analytics to detect manufacturing issues earlier and with more sensitivity. Currently available standard electrical methods for battery inspection are limited in their ability to detect small inconsistencies, which impacts performance quality and increases cost and inefficiency in battery manufacturing. In addition, this project aims to reduce battery cell cost and to reduce the likelihood of safety incidents from unexpected battery failures.

Project Goals

Demonstrate EchoStat’s capability and value to detect battery manufacturing issues earlier and with more sensitivity.

Project Benefits

At scale, EchoStat will be able to reduce battery cell cost by $14/kWh. Aligned with SB 350, the proposed project will enable lower cost EV and ESS batteries as well as reduced scale-up time for next generation battery materials. Additionally, efficiently storing excess daytime energy generation through Vehicle-Grid Integration decreases the need for expensive peaker generation.

Lower Costs

Affordability

At scale, EchoStat will be able to reduce battery cell cost by $14/kWh. Aligned with SB 350, the proposed project will enable lower cost EV and ESS batteries as well as reduced scale-up time for next generation battery materials.

Greater Reliability

Reliability

Pairing high-quality, high-performance batteries with renewable energy sources will lead to greater reliability by mitigating unexpected intermittencies.

Increase Safety

Safety

Our technology detects manufacturing and inherent physical defects earlier and more robustly than standard electrical methods. This dramatically reduces the likelihood of safety incidents from unexpected battery failures for EVs.

Subrecipients

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James Brahney

Rocket

Aerotek

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Match Partners

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Feasible, Inc.

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