Machine Learning Enhanced Acoustic Inspection to Improve Battery Manufacturing


SCH Number
Public Agency
California Energy Commission
Document Title
Machine Learning Enhanced Acoustic Inspection to Improve Battery Manufacturing
Document Type
NOE - Notice of Exemption
Document Description
The California Energy Commission is providing Feasible, Inc. with a $1,000,000 grant to support the commercialization of a machine-learning-driven battery inspection platform called EchoStat, which uses ultrasound and data analytics to detect manufacturing issues earlier and with more sensitivity. This project aims to reduce battery cell cost and to reduce the likelihood of safety incidents from unexpected battery failures. The project will be carried out in the fully permitted, existing 4942 sq. ft. facility in Emeryville, CA. No permits are required for the operation of the project, and is categorically exempt from the provisions of CEQA.

Contact Information

Maggie Deng
Agency Name
Commission Agreement Manager
Contact Types
Lead/Public Agency


Cross Streets
1516 Ninth Street

Notice of Exemption

Exempt Status
Categorical Exemption
Type, Section or Code
Cal. Code Regs., tit. 14, § 15301 ; Cal. Code Regs., tit. 14, § 15306
Reasons for Exemption
The project involves development, testing, and validation of a machine-learning-driven battery inspection platform called EchoStat. The development and assembly will take place at a Feasible, Inc.'s existing facility in Emeryville, California. This will include minor interior alterations and operation of facilities and mechanical equipment. There will be no change of use and no expansion of the building. The testing and validation will be performed at one or more existing manufacturers' facilities already in operation, possibly the facilities of a Tier 1 German automaker.


Disclaimer: The Governor’s Office of Planning and Research (OPR) accepts no responsibility for the content or accessibility of these documents. To obtain an attachment in a different format, please contact the lead agency at the contact information listed above. You may also contact the OPR via email at or via phone at (916) 445-0613. For more information, please visit OPR’s Accessibility Site.

Download CSV New Search Print