Multi-objective optimization of lithium-ion battery designs considering the dilemma between energy density and rate capability

Keyphrases

• Energy Density 100%
• Battery Design 100%
• Lithium-ion Battery 100%
• Energy Rate 100%
• Multi-objective Optimization 100%
• Rate Capability 100%
• Design Parameters 75%
• High Energy Density 50%
• Operating Temperature 50%
• Areal Capacity 50%
• Cell Design 50%
• High Rate Capability 50%
• Porosity 25%
• Optimization Methods 25%
• Power Energy 25%
• Li-ion Battery 25%
• Calculation Method 25%
• Physics-based 25%
• Transfer Path 25%
• Low Polarization 25%
• Electrode Porosity 25%
• Rapid Optimization 25%
• Surrogate Model 25%
• Power Trading 25%
• NSGA-II Algorithm 25%
• Ion Transfer 25%
• Fast Charging 25%
• Proton-neutron Pairing 25%
• Multi-objective Optimization Framework 25%
• Balanced Optimization 25%
• Electrified Transportation 25%
• Balanced Performance 25%

Engineering

• Lithium-Ion Batteries 100%
• Multiobjective Optimization 100%
• Energy Rate 100%
• Rate Capability 100%
• Design Parameter 60%
• Operating Temperature 40%
• Cell Design 40%
• Optimization Method 20%
• Broadening 20%
• Metrics 20%
• Lithium Ion Battery 20%
• Low Energy Density 20%
• Non-Dominated Sorting Genetic Algorithm II 20%
• Surrogate Model 20%

Material Science

• Energy Density 100%
• Lithium Ion Battery 100%
• High Energy Density 50%
• Cathode 25%
• Anode 25%