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公开(公告)号：US11866070B2
公开(公告)日：2024-01-09
申请号：US17033982
申请日：2020-09-28
发明人： Xiao Lin , Jiucai Zhang , Jin Shang , Yi Wang
CPC分类号： B60W60/00274 , B60W30/0956 , B60W30/18159 , B60W40/04 , B60W60/0011 , B60W60/0015 , G06N5/01 , G06N7/01 , B60W2556/50
摘要： Disclosed are a vehicle control method, a vehicle control apparatus, and a storage medium. The method includes acquiring real-time road condition information about an ego vehicle. The real-time road condition information can be used to indicate whether the ego vehicle arrives at an intersection. Vehicle state information can be acquired when the ego vehicle arrives at the intersection. Once a prediction result is obtained based on the vehicle state information, the ego vehicle can be controlled according to the prediction result.
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公开(公告)号：US11609273B2
公开(公告)日：2023-03-21
申请号：US17120295
申请日：2020-12-14
发明人： Jiucai Zhang , Jun Wang , Chao Liu , Jin Shang , Qiang Ren , Ao Mei , Dadiao Ning , Sichao Guo , Sheng Hui
IPC分类号： G01R31/367 , G01R31/36 , H01M10/42 , G01R31/374
摘要： Provided are a method and a system for optimizing a BMS model. The method includes: creating a BMS model based on test data of a battery; selecting sample vehicles from real driving data of vehicles equipped with this type of battery through active learning approach, and giving a corresponding weight to each of the selected sample vehicles; optimizing the BMS model based on the data of the selected sample vehicles.
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公开(公告)号：US11636687B2
公开(公告)日：2023-04-25
申请号：US17357206
申请日：2021-06-24
发明人： Jiucai Zhang , Yi Wang
摘要： An adaptive processing method for new scenes in autonomous driving, comprising: obtaining scene data corresponding to new scene of vehicle driving, wherein the scene data describes vehicles state and driving operations in the new scene; obtaining a test set of the new scene based on processing the scene data by a preset distribution; updating parameters of a pre-training model by inputting the test set, and obtaining a scene model adapted to the new scene based on gradient iteration of general model parameters of the pre-training model, wherein the scene model is configured to output an autonomous driving strategy for the vehicle in the new scene. Therefore, the autonomous driving vehicle transforms a new scene to a known scene, and no longer be troubled by unpredictable new scenes, and greatly enhance the reliability and stability of autonomous driving.
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公开(公告)号：US11502350B2
公开(公告)日：2022-11-15
申请号：US16932879
申请日：2020-07-20
发明人： Meng Yao , Jiucai Zhang , Bozhi Yang , Qin Yang
IPC分类号： H01M10/04 , H01M10/6571 , B60L58/27 , H01M10/42 , H01M10/48 , H01M10/615 , H01M10/625 , H01M10/44 , H01M50/20
摘要： Provided is a battery heating system, a battery device and an electric vehicle. The battery heating system includes: a battery pack having multiple battery cells; a plurality of heating resistors, each heating resistor is connected to a corresponding battery cell and is configured to heat the connected battery cell; a switching circuit, which is connected to each battery cell and each heating resistor; a controller, which is connected to the switch circuit and is configured to select one or more battery cells for discharging and one or more battery cells to be heated from the plurality of battery cells according to the temperature and/or energy of each battery cell, and control switches in the switching circuit to switch on/off, so that the current of the one or more battery cells for discharging flows through the corresponding heating resistor to heat the one or more battery cells to be heated.
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公开(公告)号：US12125293B2
公开(公告)日：2024-10-22
申请号：US17350251
申请日：2021-06-17
发明人： Xiaosheng Shi , Jiucai Zhang , Donghua Zhu , Jinchi Zhang , Guorong Li
CPC分类号： G06V20/582 , B60W40/04 , G06F18/25 , G06N3/049 , G06N3/08 , B60W2554/4046
摘要： A system and method for recognizing traffic signs during autonomous driving comprises a camera module obtaining a first recognition, a sensor obtains behavior information of the host vehicle and of nearby vehicles and a connected training module generates parameters for traffic sign recognition according to information as to the behavior of the host vehicle and the nearby vehicles. A recurrent neural network module is connected with the training module and the camera module, and outputs a second traffic sign recognition according to the parameters and the first recognition. Training parameters of the second recognition comprise the traffic sign recognition parameters and the first recognition, the accuracy of the training result being improved by combining other sensors to perform traffic sign recognition training.
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公开(公告)号：US12012014B2
公开(公告)日：2024-06-18
申请号：US17172106
申请日：2021-02-10
发明人： Jiucai Zhang , Jun Wang , Chao Liu , Jin Shang , Qiang Ren , Ao Mei , Dadiao Ning , Sichao Guo , Sheng Hui
IPC分类号： B60L58/16 , G01R31/367 , G01R31/371 , G01R31/392
CPC分类号： B60L58/16 , G01R31/367 , G01R31/371 , G01R31/392 , B60L2240/72
摘要： A method and apparatus for optimizing a battery management system (BMS) are provided. The method includes: obtaining training data, wherein the training data comprises data from a target vehicle and data from auxiliary vehicles, and the auxiliary vehicles are vehicles mounted with a same or similar battery system as the target vehicle; optimizing a BMS related algorithm for the target vehicle by performing transfer learning based on the training data, wherein the BMS related algorithm comprises one or a combination of: a battery model, parameters for the battery model, a battery management algorithm, and parameters for the battery management algorithm.
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