相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。A Cyber-Physical System-Based Velocity-Profile Prediction Method and Case Study of Application in Plug-In Hybrid Electric Vehicle
Yuanjian Zhang et al.
IEEE TRANSACTIONS ON CYBERNETICS (2021)
Stage of Charge Estimation of Lithium-Ion Battery Packs Based on Improved Cubature Kalman Filter With Long Short-Term Memory Model
Xing Shu et al.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION (2021)
Efficient Mode Transition Control for Parallel Hybrid Electric Vehicle With Adaptive Dual-Loop Control Framework
Chao Yang et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2020)
Efficient energy management strategy for hybrid electric vehicles/plug-in hybrid electric vehicles: review and recent advances under intelligent transportation system
Chao Yang et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2020)
Longitudinal autonomous driving based on game theory for intelligent hybrid electric vehicles with connectivity
Shuo Cheng et al.
APPLIED ENERGY (2020)
Cooperative Control of Drive Motor and Clutch for Gear Shift of Hybrid Electric Vehicles With Dual-Clutch Transmission
Sooyoung Kim et al.
IEEE-ASME TRANSACTIONS ON MECHATRONICS (2020)
Stochastic model predictive control for energy management of power-split plug-in hybrid electric vehicles based on reinforcement learning
Zheng Chen et al.
ENERGY (2020)
A Stochastic Predictive Energy Management Strategy for Plug-in Hybrid Electric Vehicles Based on Fast Rolling Optimization
Chao Yang et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2020)
5G-enabled devices and smart-spaces in social-IoT: An overview
Fadi Al-Turjrnan
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
A novel MPC-based adaptive energy management strategy in plug-in hybrid electric vehicles
Guo Jinquan et al.
ENERGY (2019)
Random forest dissimilarity based multi-view learning for Radiomics application
Hongliu Cao et al.
PATTERN RECOGNITION (2019)
Deep Reinforcement Learning Based Resource Allocation for V2V Communications
Hao Ye et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)
Angle Domain Channel Tracking With Large Antenna Array for High Mobility V2I Millimeter Wave Communications
Zijun Gong et al.
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING (2019)
Deep Reinforcement Learning-Based Energy Management for a Series Hybrid Electric Vehicle Enabled by History Cumulative Trip Information
Yuecheng Li et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)
A Hybrid Feature Selection Method Based on Binary State Transition Algorithm and ReliefF
Zhaoke Huang et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2019)
Adaptive Hierarchical Energy Management Design for a Plug-In Hybrid Electric Vehicle
Teng Liu et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)
Effectively Measuring Respiratory Flow With Portable Pressure Data Using Back Propagation Neural Network
Dayong Fan et al.
IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE (2018)
An artificial neural network-enhanced energy management strategy for plug-in hybrid electric vehicles
Shaobo Xie et al.
ENERGY (2018)
Dynamic programming for New Energy Vehicles based on their work modes part I: Electric Vehicles and Hybrid Electric Vehicles
Wei Zhou et al.
JOURNAL OF POWER SOURCES (2018)
Energy Management in Plug-in Hybrid Electric Vehicles: Recent Progress and a Connected Vehicles Perspective
Clara Marina Martinez et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2017)
Reinforcement Learning Optimized Look-Ahead Energy Management of a Parallel Hybrid Electric Vehicle
Teng Liu et al.
IEEE-ASME TRANSACTIONS ON MECHATRONICS (2017)
Velocity Predictors for Predictive Energy Management in Hybrid Electric Vehicles
Chao Sun et al.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2015)
ReliefF-MI: An extension of ReliefF to multiple instance learning
Amelia Zafra et al.
NEUROCOMPUTING (2012)
Test Procedure Development for Blended Type Plug-In Hybrid Vehicles
Michael Duoba et al.
SAE INTERNATIONAL JOURNAL OF ENGINES (2009)
Theoretical and empirical analysis of ReliefF and RReliefF
M Robnik-Sikonja et al.
MACHINE LEARNING (2003)
Learning to forget: Continual prediction with LSTM
FA Gers et al.
NEURAL COMPUTATION (2000)
分享论文
