A neural network-based ECMS for optimized energy management of plug-in hybrid electric vehicles

Engineering

• Networks 100%
• Plug-in Hybrid Electric Vehicle 100%
• State of Charge 100%
• Energy Management 100%
• Battery (Electrochemical Energy Engineering) 60%
• Correction Factor 40%
• Fuel Economy 40%
• Dynamic Programming 40%
• Demonstrates 20%
• Simulation 20%
• Satisfies 20%
• Prediction 20%
• Performance 20%
• Optimality 20%
• Supports 20%
• Constraints 20%
• Engines 20%
• Electrical Energy 20%
• Optimal Solution 20%
• Driving Cycle 20%
• Regularization 20%
• Backpropagation 20%
• Neural Network Training 20%

Computer Science

• Correction Factor 66%
• Dynamic Programming 66%
• Tracking Method 33%
• Simulation 33%
• Control 33%
• Regularization 33%
• Global Optimality 33%
• Electrical Energy 33%
• Neural Network Training 33%
• Terminal Value 33%
• back-propagation neural network 33%