Dec 15, 2022 · A real-time energy management strategy is proposed via incorporating double-delay Q-Learning and model predictive control (MPC).
Dec 15, 2022 · Then, based on the predicted vehicle speed, the double-delay Q-Learning algorithm is implemented to solve the receding horizon optimal problem ...
Oct 22, 2024 · To this end, a real-time energy management strategy is proposed via incorporating double-delay Q-Learning and model predictive control (MPC).
This study proposed a novel hybrid technique for efficient energy management for Plug-In Hybrid Electric Vehicles (PHEVs).
Oct 15, 2023 · This paper studies a MIMO control method for energy management of the multi-mode PHEV based on multi-agent deep reinforcement learning (MADRL).
In this study, a blended energy management strategy considering influences of driving conditions is proposed to improve the fuel economy of plug-in hybrid ...
Real-time optimal energy management strategy for a dual-mode power-split hybrid electric vehicle based on an explicit model predictive control algorithm.
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A real-time intelligent energy management strategy for hybrid electric vehicles using reinforcement learning. IEEE Access. 2021;9:72759–72768. doi: 10.1109 ...
Enhanced Q-learning for real-time hybrid electric vehicle energy ...
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Aug 3, 2020 · We present a novel Q-learning strategy with deterministic rule for real-time hybrid electric vehicle energy management between the fuel cell and the ...
This paper provides a comprehensive review of machine learning strategies and optimization formulations employed in energy management systems (EMS) tailored ...