Developing prognostics and health management methodology for lithium-ion battery cells

Engineering & Materials Science

• Lithium-ion batteries 100%
• Health 68%
• Data acquisition 12%
• Energy storage 9%
• Lithium batteries 4%
• Manganese 4%
• Power and Energy 4%
• Cobalt 4%
• Costs 4%
• Powertrains 4%
• Recurrent neural networks 3%
• Electric potential 3%
• Nickel 3%
• Electric vehicles 3%
• Artificial intelligence 3%
• Machine learning 2%
• Degradation 2%
• Trajectories 2%
• Monitoring 2%
• Experiments 1%