Machine Learning Methods for Battery Development, Manufacturing and Management
This webinar will provide a high-level overview of how machine learning can improve efficiency and solve problems in the battery industry. The aim is to briefly cover what machine learning methods are, how they can be applied and where they will see the most use.
Specifically, this webinar will include:
- An introduction to challenges in the battery industry
- An overview of machine learning and how it can be applied for batteries
- Use-case analysis for five different market sectors
- Business model analysis for the overall market
- Qualitative conclusions on how and where machine learning will see use over the next few years
This webinar shares some of the research from the new IDTechEx report, "AI-Driven Battery Technology 2025-2035: Technology, Innovation and Opportunities".
Presenter
Video
Report
Related research
Reports
- Materials for Electric Vehicle Battery Cells and Packs 2025-2035: Technologies, Markets, Forecasts
- Second-life Electric Vehicle Batteries 2025-2035: Markets, Forecasts, Players, and Technologies
- Silicon Anode Battery Technologies and Markets 2025-2035: Players, Technologies, Applications, Markets, Forecasts
- AI-Driven Battery Technology 2025-2035: Technology, Innovation and Opportunities