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However, traditional fault detection methods are still used in charging piles, which makes the detection efficiency low. This paper proposes an error detection procedure of charging pile founded on ELM method.
This paper proposes an error detection procedure of charging pile founded on ELM method. Different from the traditional charging pile fault detection model, this method constructs data for common features of the charging pile and establishes a classification prediction frame work that relies on the Extreme Learning Machine (ELM) algorithm.
Abstract: With electric cars, large-scale development, in order to make the electric vehicles charging more convenient and efficient, public charging piles began to be used on a large scale. However, traditional fault detection methods are still used in charging piles, which makes the detection efficiency low.
In case of a fault, the charging pile will display the related fault code on the charging fault record page, the fault light will be on, and the output of the charging pile will be cut off. Faults in charging piles can be reset by swiping the card. After the settlement is completed, faults will be warned and reset, and the charging pile will enter the standby state.
With electric cars, large-scale development, in order to make the electric vehicles charging more convenient and efficient, public charging piles began to be used on a large scale. However, traditional fault detection methods are still used in charging piles, which makes the detection efficiency low.
A fault diagnosis system for electric vehicle charging devices is designed and developed based on FTA, in order to accurately locate and quickly solve the fault problems of the charging devices. 2017 4th International Conference on Information…
Energy storage charging pile loss detection method. In this paper, the battery energy storage technology is applied to the traditional EV (electric vehicle) charging piles to build a new EV …
A fault detection method based on deep learning Convolutional Neural Networks and Long Short-Term Memory and the proposed CNN-LSTM method has the highest accuracy and exhibits …
For CPFD implementation, the LightGBM ensemble learning combined with a grid search cross-validation algorithm is designed to build a fault detection model. Related …
Aiming at the lack of fault detection methods for photovoltaic charging piles on the customer side, this paper proposes a fault detection method for charging piles by …
Abstract: Aiming at the fault diagnosis of the charging module of the electric vehicle DC charging pile, a fault diagnosis method of the DC charging pile based on deep learning is proposed. …
A deep learning and blockchain-based EV fault detection framework to identify various types of faults, such as air tire pressure, temperature, and battery faults in vehicles, …
The fault detection method of AC charging pile in coastal cities based on Kalman filter algorithm is studied. Through data fusion, algorithm fusion and other methods, the information related to …
fault detection method of AC charging pile in coastal cities based on Kalman filter algorithm is studied. Through data fusion, algorithm fusion and other methods, the information related to …
In Section 3, a schedulable capacity evaluation method for EVs and charging stations is developed. Case study results are presented in Section 4. Finally, the paper is concluded in Section 5. ... The battery for energy …
Abstract: Aiming at the fault diagnosis of the charging module of the electric vehicle DC charging pile, a fault diagnosis method of the DC charging pile based on deep learning is proposed. …
With the development of electric vehicles in China, the fault monitoring and warning systems for the charging process of electric vehicles have received the industry''s attention. A method for the monitoring and warning of electric …
A fault detection method based on deep learning Convolutional Neural Networks and Long Short-Term Memory and the proposed CNN-LSTM method has the highest accuracy and exhibits …
This paper proposes an error detection procedure of charging pile founded on ELM method. Different from the traditional charging pile fault detection model, this method constructs data …
DOI: 10.1016/j.jrras.2024.100878 Corpus ID: 268506452; A fault state detection method for DC charging pile charging module based on minimum fourth-order moments adaptive filtering …
Based on research of the communication process between vehicle BMS and charging pile during charging, and the detailed research of CAN (Controller Area Network) bus …
Fault Detection of Electric Vehicle Charging Piles Based on Extreme Learning Machine Algorithm Abstract: With electric cars, large-scale development, in order to make the electric vehicles …
The method proposed in this paper can make use of the real-time state parameters measured by the measuring equipment of the charging pile itself to judge its fault conditions, and provide …
Therefore, a DC charging pile charging module fault state detection method based on the minimum fourth-order moment adaptive filtering algorithm is proposed in order to …
This paper proposes an error detection procedure of charging pile founded on ELM method. Different from the traditional charging pile fault detection model, this method constructs data …
The invention discloses a method and a system for detecting faults of an energy storage pile, which relate to the technical field of fault detection of an electrochemical energy...
Because of the popularity of electric vehicles, large-scale charging piles are connected to the distribution network, so it is necessary to build an online platform for …
A deep learning and blockchain-based EV fault detection framework to identify various types of faults, such as air tire pressure, temperature, and battery faults in vehicles, …
With the increasing number of electric vehicles, V2G (vehicle to grid) charging piles which can realize the two-way flow of vehicle and electricity have been put into the …