Battery Intelligence, MARCH 22-23, 2023

Cambridge EnerTech’s

Battery Intelligence

Big Data, Machine Learning, and Artifical Intelligence Optimizing Battery Performance

MARCH 22-23, 2023

As the battery market rapidly increases so does the need to optimize lifetime performance. For OEMs, battery pack manufacturers, electric fleet managers, and Electric Vehicle (EV), the key to unlocking battery life lies in the data. Battery data when utilizing machine learning and data analytics methods can accurately determine, predict, and improve battery life. To achieve high battery efficiency and operational reliability, predictive intelligence and data analytics will play key roles as artificial intelligence becomes more disruptive in the battery technology space. The Battery Intelligence conference will bring thought leaders from industry and academia to discuss how organizations can use battery intelligence to improve battery life significantly and continuously.  


Coverage will include, but is not limited to:


  • Industry and Academic Perspectives
  • Intelligent Chemistry and Materials
  • Intelligent Manufacturing
  • Data Strategy, Security, and Traceability
  • Machine Learning for Batteries
  • Diagnostic, Predictive, and Prescriptive Analytics


The deadline for priority consideration is September 30, 2022.


All proposals are subject to review by session chairpersons and/or the Scientific Advisory Committee to ensure the overall quality of the conference program. Additionally, as per Cambridge EnerTech’s policy, a select number of vendors and consultants who provide products and services will be offered opportunities for podium presentation slots based on a variety of Corporate Sponsorships.


Opportunities for Participation:



For more details on the conference, please contact:

Victoria Mosolgo

Conference Producer

Cambridge EnerTech

Phone: (+1) 774-571-2999



For sponsorship information, please contact:

Sherry Johnson

Senior Business Development Manager

Cambridge EnerTech

Phone: (+1) 781-972-1359