Electric vehicle fault monitoring method and device and computer readable storage medium
An electric vehicle and fault monitoring technology, which is applied in computing, energy-saving computing, electrical components, etc., can solve the problems of low fault detection efficiency and high server cost, and achieve the goals of improving universality and practicability, simplifying processes, and improving efficiency Effect
Active Publication Date: 2021-12-31
东风汽车有限公司东风日产乘用车公司
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[0005] The main purpose of the present invention is to provide a method, device and computer-readable storage medium for fault monitoring of electric vehicles, aiming to solve the technical problems of low efficiency of fault detection and high cost of servers in existing electric vehicles
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[0050] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0051] Such as figure 1 as shown, figure 1 It is a schematic diagram of the structure of the electric vehicle fault monitoring equipment in the hardware operating environment involved in the solution of the embodiment of the present invention.
[0052] The electric vehicle failure monitoring device in the embodiment of the present invention may be a PC. Such as figure 1 As shown, the electric vehicle failure monitoring device may include: a processor 1001 , such as a CPU, a network interface 1004 , a user interface 1003 , a memory 1005 , and a communication bus 1002 . Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface...
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The invention discloses an electric vehicle fault monitoring method and device and a computer readable storage medium, and the method comprises the steps: screening operation parameter data based on a first preset feature parameter set, and obtaining a division interval of a second feature parameter based on the parameter property of each feature parameter in a second preset feature parameter set; dividing the screened operation parameter data based on the division interval of the second feature parameter to obtain a plurality of sub-data spaces; obtaining target data corresponding to the sub-data space based on the operation parameter data of the sub-data space; and determining whether the electric vehicle is a fault vehicle based on the target data. The data of the electric vehicle is divided, so that the data volume needing to be processed during fault detection is greatly reduced, the fault detection efficiency of the electric vehicle is improved, the configuration of the server is reduced, and then the cost of the server is reduced.
Description
technical field [0001] The present invention relates to the technical field of fault diagnosis, in particular to a fault monitoring method, equipment and computer-readable storage medium of an electric vehicle. Background technique [0002] With the large-scale development of electric vehicles, the failures caused by the power batteries of electric vehicles have attracted the attention of car owners, OEMs, and battery suppliers. The fault analysis of the prior art uses the 3σ multi-level screening formed by combining the probability characteristics of the Gaussian distribution and the 3σ confidence interval to screen the data matrix of the operating parameter data to eliminate non-fault data. For some multi-order fault data or existing Fault data with large differences in magnitude can be screened and eliminated multiple times to obtain the center value closest to the real data, and fault detection is performed through the obtained data. [0003] However, due to the large a...
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IPC IPC(8): G06F16/215G06F16/22H04L29/08
CPCG07C5/0808G07C5/085G07C5/006G06F16/215G06F16/2282G06F16/2462Y02D10/00
Inventor 陈刚方立先安仲岩
Owner 东风汽车有限公司东风日产乘用车公司