Machine Learning and Optimization in Energy Management Systems for Plug-In Hybrid Electric Vehicles: A Comprehensive Review
This paper provides a comprehensive review of machine learning strategies and
optimization formulations employed in energy management systems (EMS) tailored for plug …
optimization formulations employed in energy management systems (EMS) tailored for plug …
Advancing state of charge management in electric vehicles with machine learning: a technological review
As the share of electric vehicles increases, electric vehicles are exposed to broader of
driving conditions (eg, extreme weather), which reduce the performance and driving ranges …
driving conditions (eg, extreme weather), which reduce the performance and driving ranges …
Safe Reinforcement Learning for Energy Management of Electrified Vehicle with Novel Physics-Informed Exploration Strategy
A Biswas, M Acquarone, H Wang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
This paper introduces a novel physics-informed exploration strategy for a deep
reinforcement learning (DRL)-based energy management system (EMS), specifically …
reinforcement learning (DRL)-based energy management system (EMS), specifically …
Energy Management for Hybrid Electric Vehicles Using Safe Hybrid-Action Reinforcement Learning
Reinforcement learning has shown success in solving complex control problems, yet safety
remains paramount in engineering applications like energy management systems (EMS) …
remains paramount in engineering applications like energy management systems (EMS) …
AIoT Integration in Autonomous Vehicles: Enhancing Road Cooperation and Traffic Management
IU Din, A Almogren… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
This paper explores the transformative potential of integrating Augmented Intelligence with
Internet of Things (IoT) in autonomous vehicles, a concept we term AIoT. We begin by …
Internet of Things (IoT) in autonomous vehicles, a concept we term AIoT. We begin by …
Data-driven modeling and supervisory control system optimization for plug-in hybrid electric vehicles
H Zhang, N Lei, B Chen, B Li, R Li, Z Wang - arXiv preprint arXiv …, 2024 - arxiv.org
Learning-based intelligent energy management systems for plug-in hybrid electric vehicles
(PHEVs) are crucial for achieving efficient energy utilization. However, their application …
(PHEVs) are crucial for achieving efficient energy utilization. However, their application …
Learning Superior Energy Management from Electric Vehicle Data
Despite the promising potential of energy management technologies in optimizing electric
vehicle (EV) performance and fostering global energy sustainability, the extensive research …
vehicle (EV) performance and fostering global energy sustainability, the extensive research …
Enabling Autonomous Digital Marketing: A Machine Learning Approach for Consumer Demand Forecasting
This research surveys the integration of Artificial Intelligence (AI) and Machine Learning
(ML) to establish an autonomous framework for Digital Marketing, with a primary focus on …
(ML) to establish an autonomous framework for Digital Marketing, with a primary focus on …
A Comparative Study of Energy Management Strategies for Fuel Cell Hybrid Vehicles Based on Deep Reinforcement Learning
S Wang, D Yang, F Yan, K Yu - Available at SSRN 4812291 - papers.ssrn.com
The energy management strategy (EMS) is the top priority to ensure the safe and efficient
operation of fuel cell hybrid vehicles. Nowadays, EMS based on deep reinforcement …
operation of fuel cell hybrid vehicles. Nowadays, EMS based on deep reinforcement …