A computationally efficient hybrid optimization-based model predictive control for inductive power transfer systems

Keyphrases

• Computationally Efficient 100%
• Hybrid Optimization 100%
• Model Predictive Control 100%
• Model Predictive Control Algorithm 100%
• Optimized Model 100%
• Inductive Power Transfer System 100%
• Control Sets 33%
• Mobile Devices 33%
• Number of Iterations 33%
• Group-based 33%
• Discretized 33%
• Control Accuracy 33%
• Dynamic Performance 33%
• Control Variables 33%
• Error Compensation 33%
• Set-valued Optimization Problem 33%
• Dynamic Response Characteristics 33%
• Optimization Scheme 33%
• Low Computational Complexity 33%
• System State 33%
• Optimum Control 33%
• Intuitive Thinking 33%
• Power Transfer 33%
• Fast Dynamic Response 33%
• Laboratory Prototype 33%
• Electric Vehicle Charging 33%
• Power Electronics Applications 33%
• Charging Vehicle 33%
• Research on Models 33%
• Prediction Error Compensation 33%
• Proposed Work 33%
• Vehicle-to-grid Services 33%

Engineering

• Predictive Control Model 100%
• Inductive Power Transfer 100%
• Dynamic Performance 16%
• Dynamic Response 16%
• Power Electronics 16%
• Response Characteristic 16%
• System State 16%
• Error Compensation 16%
• Vehicle to Grid 16%
• Electric Vehicle 16%
• Prediction Error 16%
• Optimal Control 16%