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 …

Hierarchical eco-driving control strategy for connected automated fuel cell hybrid vehicles and scenario-/hardware-in-the loop validation

Y Zhang, Z Wei, Z Wang, Y Tian, J Wang, Z Tian, F Xu… - Energy, 2024 - Elsevier
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) …

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 …

Optimization of fuel economy and emissions through coordinated energy management for connected diesel vehicles

L Guo, M Sun, Y Hu, H Chen - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
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 …

Eco-driving optimization of a signalized route with extended traffic state information

FJ Arnau, B Pla, P Bares… - IEEE Intelligent …, 2023 - ieeexplore.ieee.org
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 …

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 …

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 …

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 …

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 …

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 …