Abstract: A vehicle battery pack includes several supporting beams extending in a first direction; and battery modules located between the supporting beams. The battery module comprises: a base plate extending in the first direction; multiple battery cells arranged in a stacked manner and placed on the base plate; and end plates connected to the base plate, the end plates compress the multiple battery cells from both sides in the first direction. The battery cell has end faces facing a second direction and the end faces are adjacent to the supporting beams. A vehicle can include the aforementioned vehicle battery pack.

Abstract: Features are described for efficiently and accurately identifying a user of an electronic device with limited user interaction. The features include receiving a mobile device identifier from the mobile device. The features include transmitting the mobile device identifier to a service provider associated with the mobile device. The features include receiving information identifying the user from the service provider. The features include identifying a set of candidates associated with at least a portion of the information. The features include generating a metric for the candidates included in the set of candidates. An individual metric indicates a degree of relatedness between a value for the user for the at least one data field and a value for a candidate for the at least one data field. The features include identifying the user as a specific candidate included in the set of candidates based on the metric corresponding to a threshold.

Abstract: A secure onboard network communication method includes obtaining an initial value of a first freshness value (FV), obtaining a second value based on the initial value, and refreshing the initial value to the second value; sending a first message, where the first message includes the second value of the first FV; obtaining an initial value of a second FV, and when a first condition is met, refreshing the second FV to the second value, where the first condition includes a condition that the second value of the first FV is greater than or equal to a sum of the initial value of the second FV and a predetermined value.

Abstract: A camera authentication method and a control apparatus are provided, and are applicable to an identity authentication of an on-board camera in the autonomous driving field. The method includes: obtaining one or more frames of a first image shot by a to-be-authenticated camera; determining one or more light intensity offset values of N photosensitive units based on the one or more frames of the first image; determining a matching degree between the light intensity offset values of the N photosensitive units and a preset N-dimensional vector; and if the matching degree meets a preset condition, determining that authentication of the to-be-authenticated camera succeeds, where the N photosensitive units are in a photosensitive layer of the to-be-authenticated camera, and the photosensitive layer includes M photosensitive units, where N?M. This technical solution is used to improve camera security.

Abstract: A data transmission method includes: a first electronic control unit (ECU) that obtains to-be-sent data. The first ECU determines a protection policy corresponding to the to-be-sent data from a plurality of protection policies, where the protection policies include a plurality of different encapsulation formats for the to-be-sent data and at least two protection policies with different calculation amounts for processing the to-be-sent data. The first ECU encapsulates the to-be-sent data according to the protection policy corresponding to the to-be-sent data to obtain an encapsulated packet. The first ECU sends the encapsulated packet to a second ECU, where the first ECU and the second ECU are any two ECUs in a vehicle.

Abstract: Features are described for efficiently and accurately identifying a user of an electronic device with limited user interaction. The features include receiving a mobile device identifier from the mobile device. The features include transmitting the mobile device identifier to a service provider associated with the mobile device. The features include receiving information identifying the user from the service provider. The features include identifying a set of candidates associated with at least a portion of the information. The features include generating a metric for the candidates included in the set of candidates. An individual metric indicates a degree of relatedness between a value for the user for the at least one data field and a value for a candidate for the at least one data field. The features include identifying the user as a specific candidate included in the set of candidates based on the metric corresponding to a threshold.

Abstract: A camera identification method comprises identifying a to-be-identified camera using a light sensitivity deviation of each pixel in the to-be-identified camera; generating corresponding identification data; identifying a target camera using a light sensitivity deviation of each pixel in the target camera; and identifying the target camera by comparing a similarity between data that identifies the target camera and identification data of a known camera.

Abstract: A radar authentication method includes after obtaining output data of a to-be-authenticated radar, a computer device that first invokes a prediction model to obtain predicted data of the to-be-authenticated radar based on the output data of the to-be-authenticated radar, where the prediction model is obtained through training based on output data of a target radar. Then the computer device verifies, based on the predicted data of the to-be-authenticated radar and the output data of the to-be-authenticated radar, whether the to-be-authenticated radar and the target radar are the same radar.

Abstract: Features are described for efficiently and accurately identifying a user of an electronic device with limited user interaction. The features include receiving a mobile device identifier from the mobile device. The features include transmitting the mobile device identifier to a service provider associated with the mobile device. The features include receiving information identifying the user from the service provider. The features include identifying a set of candidates associated with at least a portion of the information. The features include generating a metric for the candidates included in the set of candidates. An individual metric indicates a degree of relatedness between a value for the user for the at least one data field and a value for a candidate for the at least one data field. The features include identifying the user as a specific candidate included in the set of candidates based on the metric corresponding to a threshold.

Abstract: Features are described for efficiently and accurately identifying a user of an electronic device with limited user interaction. The features include receiving a mobile device identifier from the mobile device. The features include transmitting the mobile device identifier to a service provider associated with the mobile device. The features include receiving information identifying the user from the service provider. The features include identifying a set of candidates associated with at least a portion of the information. The features include generating a metric for the candidates included in the set of candidates. An individual metric indicates a degree of relatedness between a value for the user for the at least one data field and a value for a candidate for the at least one data field. The features include identifying the user as a specific candidate included in the set of candidates based on the metric corresponding to a threshold.

Abstract: Features are described for efficiently and accurately identifying a user of an electronic device with limited user interaction. The features include receiving a mobile device identifier from the mobile device. The features include transmitting the mobile device identifier to a service provider associated with the mobile device. The features include receiving information identifying the user from the service provider. The features include identifying a set of candidates associated with at least a portion of the information. The features include generating a metric for the candidates included in the set of candidates. An individual metric indicates a degree of relatedness between a value for the user for the at least one data field and a value for a candidate for the at least one data field. The features include identifying the user as a specific candidate included in the set of candidates based on the metric corresponding to a threshold.

Abstract: Features are described for efficiently and accurately provisioning content to a mobile device with limited user interaction. The features include storing a content identifier for a content element and a publication rule for the content element in a data storage device, the publication rule identifying a user to whom the content element can be provided. The features include receiving, from a mobile device, a message including the content identifier and an identifier of the mobile device. The features include querying a user data store based at least in part on the identifier to obtain user information associated with the mobile device. The features include determining that mobile device is eligible to receive the content element. The features include generating content for the mobile device based at least in part on the user information and the content element and causing display of the same via the mobile device.