Hierarchical energy management strategy based on adaptive dynamic programming for hybrid electric vehicles in car-following scenarios
W Tang, Y Wang, X Jiao, L Ren - Energy, 2023 - Elsevier
In order to improve the driving safety and fuel economy of hybrid electric vehicles (HEVs) in
car-following scenarios, this paper proposes a hierarchical energy management strategy …
car-following scenarios, this paper proposes a hierarchical energy management strategy …
Hierarchical eco-driving control strategy for connected automated fuel cell hybrid vehicles and scenario-/hardware-in-the loop validation
A reliable and real-time eco-driving control strategy that incorporates vehicle connectivity is
crucial for enhancing the fuel economy and mobility of fuel cell hybrid vehicles (FCHVs) …
crucial for enhancing the fuel economy and mobility of fuel cell hybrid vehicles (FCHVs) …
A Benchmark Study for Real-Time Optimal Control of Connected HEVs: Design, Integration and Evaluation
X Gong, J Wang, Y Hu, M Sun, R Wang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Developing advanced control for connected hybrid electric vehicles (HEVs) has become
anticipated to enhance fuel economy and mobility, while there exists a gap between the …
anticipated to enhance fuel economy and mobility, while there exists a gap between the …
Optimization of fuel economy and emissions through coordinated energy management for connected diesel vehicles
This paper presents a comprehensive study of fuel economy and emissions optimization
regarding both offline analysis and online strategies. A control-oriented model of the diesel …
regarding both offline analysis and online strategies. A control-oriented model of the diesel …
Eco-driving optimization of a signalized route with extended traffic state information
Literature suggests that driving style and conditions play a major role in vehicle energy
consumption. In this sense, this work focuses on vehicle speed planning using information …
consumption. In this sense, this work focuses on vehicle speed planning using information …
Proximal policy optimization-based driving control strategy of connected cruise vehicle platoons to improve traffic efficiency and safety
Z Xu, X Jiao, S Ru - Transportation research record, 2023 - journals.sagepub.com
This paper investigates connected cruise control (CCC) based on the deep reinforcement
learning algorithm to mitigate oscillations and improve traffic safety in stop-and-go waves. A …
learning algorithm to mitigate oscillations and improve traffic safety in stop-and-go waves. A …
Multi-objective eco-driving strategy for connected and automated electric vehicles considering complex urban traffic influence factors
J Li, X Wu, M Xu, Y Liu - IEEE Transactions on Transportation …, 2024 - ieeexplore.ieee.org
To improve the driving experience of connected and automated electric vehicles in urban
scenarios, this paper proposes a novel hierarchical multi-objective eco-driving strategy. This …
scenarios, this paper proposes a novel hierarchical multi-objective eco-driving strategy. This …
Powell Metaheuristic Cat Swarm optimized Sugeno Fuzzy Controller based Deep Belief Network for energy management in Hybrid electric vehicles
G Jayanthi, K Balachander - Journal of Integrated Science …, 2023 - pubs.thesciencein.org
Hybrid electric vehicles (HEV) have joined the Internal Combustion Engine (ICE) scheme
using electric propulsion system, ie HEV technology combines the mechanical drive train …
using electric propulsion system, ie HEV technology combines the mechanical drive train …
Cooperative energy optimal control involving optimization of longitudinal motion, powertrain, and air conditioning systems
Y Zhang, M Wei, M Ren, C Liu… - Proceedings of the …, 2024 - journals.sagepub.com
This paper is concerned with the optimal control strategies for the longitudinal control,
powertrain, and air conditioning (A/C) system of connected four-wheel hub-drive electric …
powertrain, and air conditioning (A/C) system of connected four-wheel hub-drive electric …
Online Vehicle Velocity Prediction Based on an Adaptive GRNN with Various Input Signals
D Yao, J Shen, J Hou, Z Zhang, F Wu - International Journal of Automotive …, 2024 - Springer
To improve the prediction accuracy and computational speed of vehicle velocity prediction
(VVP) strategies for energy management, an online VVP strategy based on general …
(VVP) strategies for energy management, an online VVP strategy based on general …