Abstract: A system for testing an assist function of electric vehicle wireless power transfer includes: a pit, a vehicle-assembly support platform, and an electromagnetic field strength measurement instrument. A ground-assembly support platform is arranged inside the pit, the vehicle-assembly support platform is arranged on an upper side of the ground-assembly support platform, and a to-be-tested member is arranged on an upper side of the ground-assembly support platform. A ground-assembly device coil is arranged on an upper surface of the ground-assembly support platform, a vehicle-assembly device coil is arranged inside the vehicle-assembly support platform, the ground-assembly device coil charges an entire vehicle, and the ground-assembly device coil further cooperates with the vehicle-assembly device coil to charge a vehicle component. A mechanical arm is arranged on ground of a test site, an interference member is arranged on a front end of the mechanical arm.

Abstract: A system for testing an assist function of electric vehicle wireless power transfer includes: a pit, a vehicle-assembly support platform, and an electromagnetic field strength measurement instrument. A ground-assembly support platform is arranged inside the pit, the vehicle-assembly support platform is arranged on an upper side of the ground-assembly support platform, and a to-be-tested member is arranged on an upper side of the ground-assembly support platform. A ground-assembly device coil is arranged on an upper surface of the ground-assembly support platform, a vehicle-assembly device coil is arranged inside the vehicle-assembly support platform, the ground-assembly device coil charges an entire vehicle, and the ground-assembly device coil further cooperates with the vehicle-assembly device coil to charge a vehicle component. A mechanical arm is arranged on ground of a test site, an interference member is arranged on a front end of the mechanical arm.

Abstract: Disclosed is an estimation method for the safety state of a battery pack based on deep learning and consistency detection, including: acquiring battery parameters of each single battery in the battery pack in a charging process to be identified; calculating multiple groups of feature data according to the battery parameters; constituting a first matrix by the multiple groups of feature data, and calculating a covariance matrix of the first matrix; inputting the covariance matrix into a first trained fully connected layer, so as to extract principal components of the first matrix and obtain a second matrix; multiplying the first matrix and the second matrix to obtain a third matrix; and inputting the third matrix into a series-connected and trained multi-head self-attention layer and classification layer, to identify whether single battery consistency safety hazards exist in the charging process. This embodiment improves the accuracy of identification.