石大排｜湖北文理学院｜学者主页

2026

Degradation-aware multi-objective optimization and adaptive energy management for fuel cell hybrid electric trucks

Dapai Shi, Weijin Yan, Jiaheng Wang, Kangjie Liu, Chun Ren, Zhao Qi Wu, Xiaoqing Liu

International Journal of Hydrogen Energy

DOI

2026

Cross-chemistry state-of-health estimation for lithium-ion batteries via local temporal patches and global dependency modeling

Misheng Cai, Yuqi Li, Dapai Shi, Andrew F. Burke, Stephen J. Harris, Jingyuan Zhao

Journal of Energy Storage

DOI

2026

Multi-Parameter Optimization of Vehicle Performance for a Four-Wheel-Drive Formula Student Electric Race Car

Chun Ren, Zhongxuan Xiong, Kangjie Liu, Jiayu Shen, Dapai Shi, Xuefeng Yang

Vehicles

DOI

2026

Self-supervised learning for electric vehicle battery remaining useful life prediction using real-world unlabeled data

Zhilong Lv, Shiqi Shawn Ou, Hao Jing, Guoyuan Wu, Dapai Shi

Energy

DOI

2026

Battery state-of-health estimation via thermoelectric graph learning and interpretable temporal decomposition for real-world electric vehicles

Zhilong Lv, Shiqi Shawn Ou, Hao Jing, Haobo Dong, Dapai Shi, Jingyuan Zhao

Journal of Energy Storage

DOI

2025

Towards artificial intelligence-enabled autonomous battery prognostics and management

Dapai Shi, Misheng Cai, Yunhong Che, Lili Xie, Jingyuan Zhao

Journal of Energy Chemistry

DOI

2025

Adaptive energy management strategy for a fuel cell vehicle integrated driving condition recognition and prediction

Jiaheng Wang, Kangjie Liu, Dapai Shi, Junjie Guo, You Wang, Yikun Wang

International Journal of Green Energy

DOI

2025

Techno-Economic Analysis of Hydrogen Hybrid Vehicles

Dapai Shi, Jiaheng Wang, Kangjie Liu, Chengwei Sun, Zhenghong Wang, Xiaoqing Liu

World Electric Vehicle Journal

DOI

2025

Battery state of health estimation under fast charging via deep transfer learning

Jingyuan Zhao, Di Li, Yuqi Li, Dapai Shi, Jinrui Nan, Andrew F. Burke

iScience

DOI

2025

Efficient Hybrid Deep Learning Model for Battery State of Health Estimation Using Transfer Learning

Jinling Ren, Misheng Cai, Dapai Shi

Energies

DOI

2024

Insights and reviews on battery lifetime prediction from research to practice

Xudong Qu, Dapai Shi, Jingyuan Zhao, Manh‐Kien Tran, Zhenghong Wang, Michael William Fowler, Yubo Lian, Andrew F. Burke

Journal of Energy Chemistry

DOI

2024

Battery engineering safety technologies (BEST): M5 framework of mechanisms, modes, metrics, modeling, and mitigation

Jingyuan Zhao, Zhilong Lv, Di Li, Xuning Feng, Zhenghong Wang, Yuyan Wu, Dapai Shi, Michael William Fowler, Andrew F. Burke

eTransportation

DOI

2024

Comparative Study and Optimization of Energy Management Strategies for Hydrogen Fuel Cell Vehicles

Junjie Guo, Yun Wang, Dapai Shi, Fulin Chu, Jiaheng Wang, Zhilong Lv

World Electric Vehicle Journal

DOI

2024

Optimized Longitudinal and Lateral Control Strategy of Intelligent Vehicles Based on Adaptive Sliding Mode Control

Yun Wang, Zhanpeng Wang, Dapai Shi, Fulin Chu, Junjie Guo, Jiaheng Wang

World Electric Vehicle Journal

DOI

2024

Research on a Path Tracking Control Strategy for Autonomous Vehicles Based on State Parameter Identification

Dapai Shi, Fulin Chu, Qingling Cai, Zhanpeng Wang, Zhilong Lv, Jiaheng Wang

World Electric Vehicle Journal

DOI

2024

Research on Optimization of Intelligent Driving Vehicle Path Tracking Control Strategy Based on Backpropagation Neural Network

Qingling Cai, Xudong Qu, Yun Wang, Dapai Shi, Fulin Chu, Jiaheng Wang

World Electric Vehicle Journal

DOI

2024

Efficiency Analysis of Electric Vehicles with AMT and Dual-Motor Systems

Zhenghong Wang, Xudong Qu, Qingling Cai, Fulin Chu, Jiaheng Wang, Dapai Shi

World Electric Vehicle Journal

DOI

2024

A Model-Based Battery Dataset Recovery Method Considering Cell Aging in Real-World Electric Vehicles

Yizhao Gao, Jingzhe Zhu, Dapai Shi, Xi Zhang

IEEE Transactions on Industrial Informatics

DOI

2023

Research on an Improved Rule-Based Energy Management Strategy Enlightened by the DP Optimization Results

Dapai Shi, Junjie Guo, Kangjie Liu, Qingling Cai, Zhenghong Wang, Xudong Qu

Sustainability，Vol. 15, No. 13

DOI

2023

Battery health diagnostics: Bridging the gap between academia and industry

Zhenghong Wang, Dapai Shi, Jingyuan Zhao, Zhengyu Chu, Dongxu Guo, Chika Eze, Xudong Qu, Yubo Lian, Andrew F. Burke

eTransportation

DOI

2023

Determination of half-cell open-circuit potential curve of silicon-graphite in a physics-based model for lithium-ion batteries

Yizhao Gao, Ziqiang Sun, Dong Zhang, Dapai Shi, Xi Zhang

Applied Energy

DOI

2023

Spatial-Temporal Self-Attention Transformer Networks for Battery State of Charge Estimation

Dapai Shi, Jingyuan Zhao, Zhenghong Wang, Heng Zhao, Junbin Wang, Yubo Lian, Andrew F. Burke

Electronics

DOI

2023

Cloud-Based Artificial Intelligence Framework for Battery Management System

Dapai Shi, Jingyuan Zhao, Chika Eze, Zhenghong Wang, Junbin Wang, Yubo Lian, Andrew F. Burke

Energies

DOI

2023

Cloud-Based Deep Learning for Co-Estimation of Battery State of Charge and State of Health

Dapai Shi, Jingyuan Zhao, Zhenghong Wang, Heng Zhao, Chika Michael Eze, Junbin Wang, Yubo Lian, Andrew F. Burke

Energies

DOI

2022

Adaptive Energy Management Strategy Based on Intelligent Prediction of Driving Cycle for Plug−In Hybrid Electric Vehicle

Dapai Shi, Shipeng Li, Kangjie Liu, Yun Wang, Ruijun Liu, Junjie Guo

Processes

DOI

2022

Adaptive energy management strategy for plug-in hybrid electric vehicles based on intelligent recognition of driving cycle

Dapai Shi, Shipeng Li, Kangjie Liu, Yinggang Xu, Yun Wang, Changzheng Guo

Energy Exploration & Exploitation

DOI

2022

Optimal Control Strategy of Path Tracking and Braking Energy Recovery for New Energy Vehicles

Zhao Bi, Ruijun Liu, Dapai Shi, Shipeng Li, Qingling Cai, Wencheng Shen

Processes

DOI

2021

基于神经网络的行驶工况智能识别方法研究

罗婷，刘瑞军，鲁忠，石大排，李世程，刘一鸣，李士鹏

《拖拉机与农用运输车》

2021

Adaptive energy control strategy of PHEV based on the Pontryagin’s minimum principle algorithm

Dapai Shi, Kangjie Liu, Yun Wang, Ruijun Liu, Shicheng Li, Yanzhao Sun

Advances in Mechanical Engineering

DOI

2020

Energy Control Strategy Study of HEB Based on Torque Distribution

Dapai Shi, Xi Zhang, Ye Liu, Kang-Jie Liu

ACM Cloud and Autonomic Computing Conference

DOI

2017

Optimization of control parameters for hybrid electric bus based on genetic algorithm

Dapai Shi, Liang Chu, Jianhua Guo, Yang Ou, Chu-Qun Liu, Zuofei Liu, Linqi Ha

DOI

2017

RETRACTED: Energy control strategy of plug-in hybrid electric vehicle based on pattern recognition

Dapai Shi, Liang Chu, Jianhua Guo, Zhan-Zhong Wang, Ruijun Liu

DOI

2017

Energy Control Strategy of HEB Based on the Instantaneous Optimization Algorithm

Dapai Shi, Liang Chu, Jianhua Guo, G. Tian, Yi-Xiong Feng, Zhi-Wu Li

IEEE Access

DOI

2017

Research on adaptive cruise control strategy of pure electric vehicle with braking energy recovery

Cheng-Wei Sun, Liang Chu, Jianhua Guo, Dapai Shi, Tian-Jiao Li, Yun-Song Jiang

DOI

2015

基于行星齿轮传动的插电式混合动力汽车能量管理策略研究

石大排

《山东理工大学》

2014

并联式混合动力汽车瞬时控制策略研究与改进

石大排，刘瑞军，任宗丹，赵京菊

《拖拉机与农用运输车》

2014

Real-Time Control Strategy of Elman Neural Network for the Parallel Hybrid Electric Vehicle

Ruijun Liu, Dapai Shi, Chao Ma

Journal of Applied Mathematics

DOI

精选作品

期刊论文

Degradation-aware multi-objective optimization and adaptive energy management for fuel cell hybrid electric trucks

Cross-chemistry state-of-health estimation for lithium-ion batteries via local temporal patches and global dependency modeling

Multi-Parameter Optimization of Vehicle Performance for a Four-Wheel-Drive Formula Student Electric Race Car

Self-supervised learning for electric vehicle battery remaining useful life prediction using real-world unlabeled data

Battery state-of-health estimation via thermoelectric graph learning and interpretable temporal decomposition for real-world electric vehicles

Towards artificial intelligence-enabled autonomous battery prognostics and management

Adaptive energy management strategy for a fuel cell vehicle integrated driving condition recognition and prediction

Techno-Economic Analysis of Hydrogen Hybrid Vehicles

Battery state of health estimation under fast charging via deep transfer learning

Efficient Hybrid Deep Learning Model for Battery State of Health Estimation Using Transfer Learning

Insights and reviews on battery lifetime prediction from research to practice

Battery engineering safety technologies (BEST): M5 framework of mechanisms, modes, metrics, modeling, and mitigation

Comparative Study and Optimization of Energy Management Strategies for Hydrogen Fuel Cell Vehicles

Optimized Longitudinal and Lateral Control Strategy of Intelligent Vehicles Based on Adaptive Sliding Mode Control

Research on a Path Tracking Control Strategy for Autonomous Vehicles Based on State Parameter Identification

Research on Optimization of Intelligent Driving Vehicle Path Tracking Control Strategy Based on Backpropagation Neural Network

Efficiency Analysis of Electric Vehicles with AMT and Dual-Motor Systems

A Model-Based Battery Dataset Recovery Method Considering Cell Aging in Real-World Electric Vehicles

Research on an Improved Rule-Based Energy Management Strategy Enlightened by the DP Optimization Results

Battery health diagnostics: Bridging the gap between academia and industry

Determination of half-cell open-circuit potential curve of silicon-graphite in a physics-based model for lithium-ion batteries

Spatial-Temporal Self-Attention Transformer Networks for Battery State of Charge Estimation

Cloud-Based Artificial Intelligence Framework for Battery Management System

Cloud-Based Deep Learning for Co-Estimation of Battery State of Charge and State of Health

Adaptive Energy Management Strategy Based on Intelligent Prediction of Driving Cycle for Plug−In Hybrid Electric Vehicle

Adaptive energy management strategy for plug-in hybrid electric vehicles based on intelligent recognition of driving cycle

Optimal Control Strategy of Path Tracking and Braking Energy Recovery for New Energy Vehicles

基于神经网络的行驶工况智能识别方法研究

Adaptive energy control strategy of PHEV based on the Pontryagin’s minimum principle algorithm

Energy Control Strategy Study of HEB Based on Torque Distribution

Optimization of control parameters for hybrid electric bus based on genetic algorithm

RETRACTED: Energy control strategy of plug-in hybrid electric vehicle based on pattern recognition

Energy Control Strategy of HEB Based on the Instantaneous Optimization Algorithm

Research on adaptive cruise control strategy of pure electric vehicle with braking energy recovery

基于行星齿轮传动的插电式混合动力汽车能量管理策略研究

并联式混合动力汽车瞬时控制策略研究与改进

Real-Time Control Strategy of Elman Neural Network for the Parallel Hybrid Electric Vehicle

研究方向