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A novel RBFNN-UKF-based SOC estimator for automatic underwater vehicles considering a temperature compensation strategy
Peiyu Chen, Zhaoyong Mao
*
, Chiyu Wang, Chengyi Lu,
Junqiu Li
*
此作品的通讯作者
机械与车辆学院
Northwestern Polytechnical University Xian
科研成果
:
期刊稿件
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同行评审
12
引用 (Scopus)
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探究 'A novel RBFNN-UKF-based SOC estimator for automatic underwater vehicles considering a temperature compensation strategy' 的科研主题。它们共同构成独一无二的指纹。
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Engineering
Autonomous Underwater Vehicle
10%
Based Kalman Filter
100%
Battery (Electrochemical Energy Engineering)
10%
Battery Model
20%
Compensation Strategy
100%
Equivalent Circuit Model
20%
Estimation Error
10%
Filtering Algorithm
10%
Initial Value
10%
Kalman Filter
50%
Least Square
10%
Low-Temperature
30%
Radial Basis Function
100%
Recursive
10%
Reference Curve
10%
Reliable Operation
10%
State of Charge
100%
Terminal Voltage
10%