Energy management based on reinforcement learning with double deep Q-learning for a hybrid electric tracked vehicle

Engineering

• Q-Learning 100%
• Energy Management 100%
• Reinforcement Learning 100%
• Learning Algorithm 33%
• Demonstrates 16%
• Simulation Result 16%
• Battery (Electrochemical Energy Engineering) 16%
• Fuel Economy 16%
• Initial Value 16%
• Control Structure 16%
• Good Performance 16%
• Dynamic Programming 16%
• Convergence Rate 16%
• Iterative Convergence 16%
• Characteristic Vehicle 16%

Material Science

• Battery (Electrochemical Energy Engineering) 100%
• Fuel Consumption 100%

Chemical Engineering

• Reinforcement Learning 100%