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查看 Scopus 资料
张 照生
机械与车辆学院
h-index
2750
引用
27
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
2015
2026
每年的科研成果
概览
指纹图谱
合作网络
科研成果
(92)
相似学者
(1)
个人简介
指纹图谱
深入其中 Zhaosheng Zhang 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。
1
相似简介
Electric Vehicle
Engineering
100%
Battery (Electrochemical Energy Engineering)
Engineering
55%
Fault Diagnosis
Engineering
44%
Lithium-Ion Batteries
Engineering
30%
Battery System
Engineering
25%
State of Health
Engineering
19%
Battery Pack
Engineering
19%
Battery Power
Engineering
19%
科研成果
每年的科研成果
2015
2022
2023
2024
2025
2026
64
文章
21
会议稿件
5
文献综述
1
评论/辩论
1
更多
1
会议文章
每年的科研成果
每年的科研成果
A charging start time prediction method for electric vehicles based on improved SVM and RF
Zhang, Z.
, Peng, P., Wang, Z.,
Lin, N.
& Wang, Z.,
30 3月 2026
,
在:
Journal of Energy Storage.
152
, 120457.
科研成果
:
期刊稿件
›
文章
›
同行评审
Electric Vehicle
100%
Engineering
50%
Power Grid
50%
Electricity Price
50%
Prediction Error
50%
Data-driven remaining driving range estimation and analysis framework for electric vehicles under real-world conditions
1
Zhou, L., Wang, Z., Mao, Z., Wang, Q., Zhang, D.,
Zhang, Z.
& Chen, Z.,
1 1月 2026
,
在:
Applied Energy.
402
, 126881.
科研成果
:
期刊稿件
›
文章
›
同行评审
Electric Vehicle
100%
Passenger Vehicle
100%
Relative Error
50%
State of Health
50%
Real Vehicle
50%
2
引用 (Scopus)
Evolving safety challenges of power batteries in service: Insights and strategies
Zhou, X., Wang, S., Hu, Z., Wang, S., Liu, X.,
Zhang, Z.
, Liu, P., Yu, Y. &
Li, L.
,
4月 2026
,
在:
Renewable and Sustainable Energy Reviews.
229
, 116621.
科研成果
:
期刊稿件
›
文献综述
›
同行评审
Electric Vehicle
100%
Battery Power
100%
Thermal Runaway
100%
Electronic Circuit
100%
Artificial Intelligence
100%
Accurate Prediction of Energy Consumption of Electric Buses Based on Traffic Condition, Vehicle Status, Driving Behavior, and Environmental Condition
Ma, Y., Ye, B., Wang, S. &
Zhang, Z.
,
2025
,
在:
IEEE Transactions on Transportation Electrification.
11
,
4
,
页码 9778-9792
15 页码
科研成果
:
期刊稿件
›
文章
›
同行评审
Accurate Prediction
100%
Learning System
100%
Battery System
33%
Level Energy
33%
Hyperparameter Optimization
33%
1
引用 (Scopus)
A feature prediction-based method for energy consumption prediction of electric buses
Zhang, Z.
, Wang, S., Ye, B. & Ma, Y.,
1 1月 2025
,
在:
Energy.
314
, 134345.
科研成果
:
期刊稿件
›
文章
›
同行评审
Environmental Concern
100%
Bus Fleet
100%
Convolutional Neural Network
100%
Neural Network
100%
9
引用 (Scopus)