CN-122017644-A - Electronic control module health state evaluation method based on parameter association matrix

CN122017644ACN 122017644 ACN122017644 ACN 122017644ACN-122017644-A

Abstract

The invention relates to the technical field of circuit device monitoring and discloses an electronic control module health state evaluation method based on a parameter association matrix, which comprises the steps of obtaining a busbar current, busbar voltage and energy change sequence in a charging stage, and calculating a derivative response track of transient power relative to voltage square; the invention is based on the normalized treatment of energy conversion dimension, effectively isolates the interference of power supply ripple on the extraction of impedance characteristics, can accurately identify hidden faults induced by package microcracks or welding spot cavities, and establishes a digital health evaluation reference of the whole life cycle of a coverage module.

Inventors

SUN ZHONGLI
BIAN ZHU
CHEN YANYANG
XIONG ANHUA

Assignees

上海兴软信息技术有限公司

Dates

Publication Date: 20260512
Application Date: 20260129

Claims (10)

1. The method for evaluating the health state of the electronic control module based on the parameter association matrix is characterized by comprising the following steps of: step S1, in a charging stage of an electronic control module, bus current data, bus voltage data, the ambient temperature of the electronic control module and an energy change sequence of an energy storage unit in a preset time window are synchronously acquired; Step S2, calculating transient power variation according to bus current data and bus voltage data, calculating voltage square variation corresponding to the bus voltage data, and generating a response track through derivative operation of the transient power variation relative to the voltage square variation so as to extract charge throughput characteristics induced by an electronic control module under dynamic electric field gradient; step S3, mapping the response track to a parameter space containing the power change rate, the voltage square change rate and the charge-discharge time sequence deviation amount, and constructing a parameter correlation matrix reflecting the internal impedance evolution process of the energy storage unit; And S4, extracting curvature characteristic differences of the actually measured response track relative to the stored standard health track in the parameter association matrix, calculating normal deviation values of the actually measured response track relative to the standard health track in the parameter space, counting time occupation ratios of sampling points with normal deviation values exceeding a preset safety threshold in the response track, and judging that the electronic control module has characteristic defects and outputting an evaluation result if the time occupation ratios exceed the preset risk threshold.
2. The method for evaluating the health state of the electronic control module based on the parameter association matrix according to claim 1 is characterized in that step S2 comprises the steps of time aligning acquired bus current data with bus voltage data, calculating transient power variation and voltage square variation between adjacent sampling points by using a circulating data buffer, and calculating in-phase correlation of the transient power variation and the voltage square variation so as to eliminate interference of external power supply ripple on extraction of internal impedance characteristics of an energy storage unit and generate a response track after eliminating ripple background noise.
3. The method for evaluating the health state of the electronic control module based on the parameter association matrix according to claim 2 is characterized in that the step S3 comprises the steps of establishing a characteristic coordinate system taking a power change rate as a horizontal axis and a voltage square change rate as a vertical axis, projecting a response track after eliminating ripple background noise into the characteristic coordinate system to generate a scattered point distribution diagram describing the charging consistency of the energy storage unit, extracting statistical feature quantity of the scattered point distribution diagram in the characteristic coordinate system, and taking the statistical feature quantity as a characteristic input item of the parameter association matrix.
4. The method for evaluating the health status of an electronic control module based on a parameter association matrix according to claim 3, wherein in step S2, the calculation rule followed by the response track is: where lambda is the dynamic response coefficient, deltap is the transient power increment between adjacent sampling points, Is the voltage squared increment between corresponding sampling points.
5. The method for evaluating the health state of the electronic control module based on the parameter correlation matrix according to claim 1, wherein the calculating the algorithm direction deviation value in the step S4 includes calculating a geometric deviation distance of each group of feature evaluation vectors in the parameter correlation matrix relative to a standard health track, counting the number of abnormal sampling points in the full charge process, wherein the geometric deviation distance exceeds a preset safety threshold, and determining the ratio of the number of abnormal sampling points to the total number of full sampling points as a time duty ratio.
6. The method for evaluating the health state of the electronic control module based on the parameter correlation matrix according to claim 5, wherein the step S4 is further characterized by comprising the step S5 of monitoring the voltage holding slope of the electronic control module at the end stage of charging, and the step S6 of generating a health evaluation reference covering the life cycle of the electronic control module according to the non-linear correlation weight of the voltage holding slope and the impedance evolution characteristic in the parameter correlation matrix.
7. The method for evaluating the health state of the electronic control module based on the parameter correlation matrix according to claim 1 is characterized in that the step S1 of acquiring bus current data and bus voltage data comprises the steps of adopting a multichannel synchronous sampling interface to acquire data for a plurality of electronic control modules in parallel, and acquiring current signals and voltage signals at a sampling frequency not lower than 500kHz in a dynamic process of charging an energy storage unit to a preset voltage interval so as to capture microsecond transient leakage waveforms.
8. The method for evaluating the health state of the electronic control module based on the parameter association matrix of claim 6, wherein the step S6 is further characterized by comprising the step S7 of associating the evaluation result with the production batch information of the electronic control module, the step S8 of uploading the associated health data to a production management system and executing quality risk tracing of the electronic control module.
9. The method for evaluating the health state of the electronic control module based on the parameter association matrix according to claim 1, wherein the output of the evaluation result comprises outputting a qualified instruction indicating that the electronic control module is in a health state, outputting an early warning signal indicating that the electronic control module has a characteristic defect risk, and sending an instruction for interrupting the communication function of the electronic control module.
10. The method for evaluating the health state of an electronic control module based on a parameter correlation matrix according to claim 1, wherein the step S1 further comprises performing temperature compensation on the energy variation sequence according to the acquired ambient temperature, and adjusting the dynamic range of the current acquisition channel based on the gradient change of bus current data so as to keep constant measurement accuracy under different current gradients in the charging stage.

Description

Electronic control module health state evaluation method based on parameter association matrix Technical Field The invention relates to an electronic control module health state evaluation method based on a parameter association matrix, and belongs to the technical field of circuit device monitoring. Background The current power supply and distribution system for industrial production generally adopts automatic test equipment to perform discrete monitoring on static electricity indexes such as voltage, current, resistance and the like of an electronic control module, so that the electric parameters of each functional unit are ensured to accord with factory preset ranges, the consistency of production batches is maintained, and the steady-state response-based test mode plays a key supporting role in improving the turnover efficiency of a production line and guaranteeing the reliability of basic functions. Along with the continuous evolution of requirements of special application scenes such as industrial blasting and the like on electric control precision and transient response stability, the charge-discharge behavior of an internal energy storage unit of a controlled module under extremely high voltage gradient becomes a core factor for determining the overall safety of a system, and in a large-scale manufacturing process, the internal energy storage unit of the controlled module is limited by hardware sampling bandwidth and interference of environmental electromagnetic waves, microsecond-level transient disturbance induced by physical defects of component surface layers is difficult to capture by an existing quasi-static measurement mode, for example, china patent publication No. CN115486210A discloses an electronic control module, a closed space is formed by arranging a cylindrical bracket between two layers of substrates, metal pollution attachment in production is reduced by utilizing a physical isolation means, circuit short circuit is avoided by using external impurities, a scheme for protecting the unbalanced physical structure belongs to passive defense against external environment factors, microcrack internal energy storage units of the controlled module cannot touch the dynamic electric field stress, and intrinsic welding point evolution characteristics of microsecond-level transient disturbance induced by physical defects such as component packaging and cavities are difficult to capture, and aiming at the defects, if the defects are attempted to increase the sampling frequency or the tolerance range of parameters, the fault detection rate is not increased, the problem is prevented from increasing, the potential risk of the linear fluctuation caused by the energy storage system is more than the normal operation risk of the power supply system, and the potential risk of failure is caused by the energy storage system is avoided. The method mainly comprises the following steps of 1, limiting detection dimension to static threshold judgment so that dynamic coupling failure characteristics in an energy conversion loop cannot be identified, 2, restricting accuracy of health state assessment due to high aliasing of environment electromagnetic noise and component intrinsic defect signals in a time domain, and 3, difficultly establishing a digital quality file with physical logic depth due to lack of deep extraction of consistency of energy rheological tracks. Therefore, how to adopt the electronic control module health state assessment method based on the parameter association matrix is the technical problem to be solved by the invention on the basis of maintaining the existing hardware architecture and by executing association analysis on multidimensional parameters in the electric energy accumulation process and identifying discontinuous offset of the energy response track. Disclosure of Invention In order to solve the problems in the background technology, the technical scheme of the invention is as follows, an electronic control module health state evaluation method based on a parameter association matrix comprises the following steps: step S1, in a charging stage of an electronic control module, bus current data, bus voltage data, the ambient temperature of the electronic control module and an energy change sequence of an energy storage unit in a preset time window are synchronously acquired; Step S2, calculating transient power variation according to bus current data and bus voltage data, calculating voltage square variation corresponding to the bus voltage data, and generating a response track through derivative operation of the transient power variation relative to the voltage square variation so as to extract charge throughput characteristics induced by an electronic control module under dynamic electric field gradient; Step S3, mapping the response track to a parameter space containing the power change rate, the voltage square change rate and the charge-discharge time sequence deviation amount,