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吴 京达
机械与车辆学院
h-index
3031
引用
24
H-指数
根据储存在 Pure 的刊物以及来自 Scopus 的引用文献数量计算
2016
2025
每年的科研成果
概览
指纹图谱
合作网络
科研成果
(76)
相似学者
(12)
指纹图谱
深入其中 Jingda Wu 为活跃的研究主题。这些主题标签来自此人的成果。它们共同形成唯一的指纹。
12
相似简介
Reinforcement Learning
Engineering
100%
Energy Management
Engineering
98%
Autonomous Driving
Computer Science
78%
Deep Reinforcement Learning
Computer Science
56%
Decision-Making
Computer Science
25%
Autonomous Vehicles
Computer Science
23%
Hybrid Electric Vehicle
Engineering
21%
Fuel Cell Electric Vehicle
Engineering
20%
科研成果
每年的科研成果
2016
2024
2025
2025
55
文章
15
会议稿件
5
会议文章
1
文献综述
每年的科研成果
每年的科研成果
A Novel Experience Replay-Based Offline Deep Reinforcement Learning for Energy Management of Hybrid Electric Vehicles
Niu, Z.,
Wu, J.
&
He, H.
,
2025
,
在:
IEEE Transactions on Industrial Electronics.
72
,
7
,
页码 7160-7169
10 页码
科研成果
:
期刊稿件
›
文章
›
同行评审
Energy Management
100%
Reinforcement Learning
100%
Hybrid Electric Vehicle
100%
Deep Reinforcement Learning
100%
Replay Method
22%
3
引用 (Scopus)
A Novel Real-Time Estimation and Neural Control Method for Automotive PEMFC Air Compressor Based on Simultaneous Coordination of OER and Cathode Pressure
Yue, H.,
He, H.
,
Wu, J.
,
Han, M.
& Zhao, X.,
8月 2025
,
在:
Automotive Innovation.
8
,
3
,
页码 533-548
16 页码
科研成果
:
期刊稿件
›
文章
›
同行评审
Automotives
100%
Estimation Time
100%
Proton-Exchange Membrane Fuel Cells
100%
Air Flow
100%
Control Strategy
66%
1
引用 (Scopus)
Autonomous Driving Economic Car-Following Motion Strategy Based on Adaptive Rollout Model-Based Policy Optimization
Hu, D., Huang, C., Zhao, J., Zhao, Y. &
Wu, J.
,
2025
,
在:
IEEE Transactions on Transportation Electrification.
11
,
5
,
页码 12416-12427
12 页码
科研成果
:
期刊稿件
›
文章
›
同行评审
Autonomous Driving
100%
Optimization Policy
100%
Energy Efficiency
75%
Energy Consumption
50%
Nonenergy
33%
4
引用 (Scopus)
Data-driven energy management for electric vehicles using offline reinforcement learning
Wang, Y.,
Wu, J.
,
He, H.
,
Wei, Z.
&
Sun, F.
,
12月 2025
,
在:
Nature Communications.
16
,
1
, 2835.
科研成果
:
期刊稿件
›
文章
›
同行评审
开放访问
Electric Vehicle
100%
Energy Management
100%
Reinforcement Learning
100%
Energy Efficiency
25%
Monitoring System
25%
13
引用 (Scopus)
Durability-enhanced decision-making with style awareness for autonomous hydrogen fuel cell vehicle based on integrated reinforcement learning approaches
Yu, S., Peng, J., Zhou, J., Ren, T.,
Wu, J.
& Fan, Y.,
1 11月 2025
,
在:
Energy.
336
, 138314.
科研成果
:
期刊稿件
›
文章
›
同行评审
Reinforcement Learning
100%
Learning Approach
100%
Powertrain
100%
Fuel-Cell Electric Hybrid Vehicle
100%
Hydrogen Fuel Cell Vehicle
100%
1
引用 (Scopus)