Head-mounted display device rear battery cable impedance monitoring method and head-mounted display device

By monitoring and correcting the impedance of the battery cable of the head-mounted display device, the problem of increased impedance caused by increased battery cable length is solved, the accuracy of battery information detection is improved, and equipment failure is avoided.

CN115754480BActive Publication Date: 2025-10-14GEER TECH CO LTD
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Patent Information

Application Number
CN202211425222.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-11-14
Publication Date
2025-10-14
Estimated Expiration
2042-11-14

AI Technical Summary

Technical Problem

Moving the battery of the head-mounted display device from the front to the back increases the length of the battery cable, resulting in an increase in the impedance between the battery and the power management chip, affecting the main control system's detection of battery voltage, temperature and other information, and may cause functional defects.

Method used

A data acquisition filtering algorithm is used to filter the battery current, battery voltage and battery terminal voltage of the power management chip, calculate the impedance of the rear battery cable, and use this impedance to correct and compensate the acquisition parameters to improve parameter accuracy.

Benefits of technology

The impedance of the rear battery cable is monitored, parameter accuracy is improved, and malfunctions of the head-mounted display device due to parameter deviation are avoided.

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Abstract

The application discloses a head-mounted display device rear battery cable impedance monitoring method, which comprises the following steps: sampling a plurality of instantaneous battery currents, filtering the sampled instantaneous battery currents by using a data acquisition filtering algorithm to obtain effective battery currents I avg ; sampling a plurality of real-time battery voltages, filtering the sampled real-time battery voltages by using the data acquisition filtering algorithm to obtain effective battery voltages V batt ; sampling a plurality of power management chip battery end voltages, wherein the battery end is electrically connected with the battery, filtering the sampled power management chip battery end voltages by using the data acquisition filtering algorithm to obtain effective battery end voltages V vph ; and calculating a rear battery cable impedance R according to the effective battery currents I avg , the effective battery voltages V batt and the effective battery end voltages V vph , and further providing a head-mounted display device. The application can effectively detect the rear cable impedance and ensure the sampling precision of the electric parameters.
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Description

Technical Field

[0001] The present invention belongs to the field of head-mounted display devices, and in particular relates to a method for monitoring impedance of a rear battery cable of a head-mounted display device, and a head-mounted display device. Background Art

[0002] With the development of virtual reality technology, more and more head-mounted display devices are appearing in our lives. These devices are loved by many players for their unique immersive experience and rich application software. However, running these large-scale applications places higher demands on battery life. Increasing battery capacity is undoubtedly the inevitable development trend of head-mounted display devices.

[0003] In the prior art, batteries are usually placed in the back shell of a head-mounted display device to balance the front and back weight of the product, making it more comfortable for consumers to wear. For example, the content disclosed in the Chinese patent application (CN209471305U) is: "The head-mounted display device includes: a head-mounted display host and a strap connected to the head-mounted display host, the head-mounted display host is provided with a motherboard, and the strap is connected to the back shell; a battery holder is provided in the back shell, the battery holder is fixedly connected to a battery connecting plate, the battery connecting plate is installed with a battery, the battery connecting plate is electrically connected to a power cord connector, a power cord is connected between the power cord connector and the motherboard, and the battery supplies power to the motherboard through the power cord. This design can well balance the front and back weight of the product, providing users with a good experience, and will not feel tired or uncomfortable due to wearing for a long time."

[0004] However, moving the battery of the head-mounted display device from the front to the back increases the length of the battery cable, which inevitably introduces a large impedance between the battery and the power management IC (PMIC), thereby affecting the main control system of the head-mounted display device's detection of battery voltage, temperature and other information, and may further cause other functional defects. Summary of the Invention

[0005] The present invention addresses the problem in the prior art that moving the battery of a head-mounted display device from the front to the rear increases the length of the battery cable, introduces a large impedance between the battery and the power management chip, affects the main control system of the head-mounted display device's detection of battery voltage, temperature and other information and may further cause other functional defects. Therefore, a method for monitoring the impedance of the rear battery cable of a head-mounted display device is designed and provided.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical solutions:

[0007] A method for monitoring the impedance of a rear battery cable of a head-mounted display device, characterized by comprising the following steps: sampling multiple instantaneous battery currents, filtering the sampled multiple instantaneous battery currents using a data acquisition filtering algorithm, and obtaining an effective battery current I avg ; Sampling multiple real-time battery voltages, using data acquisition filtering algorithm to filter the sampled multiple real-time battery voltages to obtain the effective battery voltage V batt ; Sampling multiple power management chip battery terminal voltages, where the battery terminal is electrically connected to the battery, using data acquisition filtering algorithm to filter the sampled multiple power management chip battery terminal voltages to obtain the effective battery terminal voltage V vph ; According to the effective battery current I avg , effective battery voltage V batt and the effective battery terminal voltage V vph Calculate the rear battery cable impedance R,

[0008] In some optional embodiments of the present application, a median average filtering method is used to filter the sampled multiple instantaneous battery currents to obtain the effective battery current I avg ; Sample the instantaneous battery current at intervals i, denoted as I1, I2,…, I i , where i is a positive integer; select the maximum value among i instantaneous battery currents and record it as Max(I i ); Select the minimum value among the i instantaneous battery currents and record it as Min(I i ); Calculate the sum of the instantaneous battery currents of i, denoted as Sum(I i ), Calculate the effective battery current I according to the following formula avg ;

[0009] In some optional embodiments of the present application, a median average filtering method is used to filter the sampled multiple real-time battery voltages to obtain the effective battery voltage V batt ; Sample j real-time battery voltages at intervals, recorded as V batt1 ,V batt2 ,…,V battj , j is a positive integer; select the maximum value among j real-time battery voltages and record it as Max(V battj ); Select the minimum value among j real-time battery voltages, record it as Min(V battj ); Calculate the sum of j real-time battery voltages, recorded as Sum(V battj ), Calculate the effective battery voltage V according to the following formula batt ;

[0010] In some optional embodiments of the present application, a median average filtering method is used to filter the sampled battery terminal voltages of multiple power management chips to obtain an effective battery terminal voltage V vph ; Interval sampling k power management chip battery terminal voltage, recorded as V vph1 ,V vph2 ,…,V vphk , k is a positive integer; select the maximum value of the battery terminal voltage of k power management chips, record it as Max(V vphk ); Select the minimum value of the battery terminal voltage of k power management chips, record it as Min(V vphk ); Calculate the sum of the voltages at the battery terminals of k power management chips, denoted as Sum(V vphk ), Calculate the effective battery terminal voltage V according to the following formula vph ;

[0011] In some optional embodiments of the present application, before sampling multiple instantaneous battery currents, real-time battery voltages and battery terminal voltages of the power management chip, the following steps are also included: reading the current charging mode; sampling the real-time charging current; and reducing the real-time charging current to the set charging current under the condition that the current charging mode is a fast charging mode.

[0012] A second aspect of the present application provides a head-mounted display device, including a rear battery cable impedance monitoring device, the rear battery cable impedance monitoring device having: a first sampling processing module, the first sampling processing module being configured to sample multiple instantaneous battery currents, and filtering the sampled multiple instantaneous battery currents using a data acquisition filtering algorithm to obtain an effective battery current I avg The second sampling processing module is configured to sample multiple real-time battery voltages, and filter the sampled multiple real-time battery voltages using a data acquisition filtering algorithm to obtain an effective battery voltage V batt The third sampling processing module is configured to sample the battery terminal voltages of multiple power management chips, and filter the sampled battery terminal voltages of multiple power management chips using a data acquisition filtering algorithm to obtain an effective battery terminal voltage V vph And a calculation module, the calculation module is configured according to the effective battery current I avg , effective battery voltage V batt and the effective battery terminal voltage V vph Calculate the rear battery cable impedance R,

[0013] In some optional embodiments of the present application, the first sampling processing module is configured to filter the sampled multiple instantaneous battery currents using a median average filtering method to obtain an effective battery current I avgThe first sampling processing module includes: a battery current sampling unit, a battery current sampling unit configured to sample i instantaneous battery currents at intervals, denoted as I1, I2, ..., I i , where i is a positive integer; the maximum battery current selection unit, the maximum battery current selection unit is configured to select the maximum value among i instantaneous battery currents, recorded as Max(I i ); Minimum battery current selection unit, the minimum battery current selection unit is configured to select the minimum value of i instantaneous battery currents, recorded as Min(I i ); a total battery current calculation unit, the total battery current calculation unit is configured to calculate the sum of i instantaneous battery currents, denoted as Sum(I i ), and an effective battery current calculation unit, the effective battery current calculation unit is configured to calculate the effective battery current I according to the following formula avg ;

[0014] In some optional embodiments of the present application, the second sampling processing module is configured to filter the sampled multiple real-time battery voltages using a median average filtering method to obtain an effective battery voltage V batt The second sampling processing module includes: a battery voltage sampling unit, a battery voltage sampling unit configured to sample j real-time battery voltages at intervals, denoted as V batt1 ,V batt2 ,…,V battj , where j is a positive integer; the maximum battery voltage selection unit, the maximum battery voltage selection unit is configured to select the maximum value of j real-time battery voltages, recorded as Max(V battj ); Minimum battery voltage selection unit, the minimum battery voltage selection unit is configured to select the minimum value of j real-time battery voltages, recorded as Min (V battj ); a total battery voltage calculation unit, the total battery voltage calculation unit is configured to calculate the sum of i real-time battery voltages, denoted as Sum(V battj ), and an effective battery voltage calculation unit, the effective battery voltage calculation unit is configured to calculate the effective battery voltage V according to the following formula batt ;

[0015] In some optional embodiments of the present application, the third sampling processing module is configured to filter the sampled battery terminal voltages of multiple power management chips using a median average filtering method to obtain an effective battery terminal voltage V vph The third sampling processing module includes: a battery terminal voltage sampling unit, the battery terminal voltage sampling unit is configured to sample the battery terminal voltage of the power management chip at intervals of k, denoted as V vph1 ,Vvph2 ,…,V vphk , where k is a positive integer; the maximum battery terminal voltage selection unit, the maximum battery terminal voltage selection unit is configured to select the maximum value of the battery terminal voltages of k power management chips, recorded as Max(V vphk ); Minimum battery terminal voltage selection unit, the minimum battery terminal voltage selection unit is configured to select the minimum value of the battery terminal voltages of k power management chips, recorded as Min (V vphk ); a battery terminal voltage sum calculation unit, the battery terminal voltage sum calculation unit is configured to calculate the sum of the battery terminal voltages of k power management chips, denoted as Sum(V vphk ), and an effective battery terminal voltage calculation unit, the effective battery terminal voltage calculation unit is configured to calculate the effective battery terminal voltage V according to the following formula vph ;

[0016] In some optional embodiments of the present application, the rear battery cable impedance monitoring device further has: a mode configuration module; the mode configuration module includes: a mode acquisition unit, the mode acquisition unit is configured to read the current charging mode; a charging current sampling unit, the charging current sampling unit is configured to sample the real-time charging current; and a current stabilization control unit, the current stabilization control unit is configured to reduce the real-time charging current to the set charging current under the condition that the current charging mode is a fast charging mode.

[0017] Compared with the prior art, the advantages and positive effects of the present invention are:

[0018] The present invention can realize the monitoring of the rear battery cable impedance. After calculating the rear battery cable impedance R, the rear battery cable impedance R is used to correct and compensate the collected parameters, thereby improving the parameter accuracy and avoiding malfunction of the head-mounted display device due to parameter deviation.

[0019] Other features and advantages of the present invention will become more apparent after reading the detailed description of the present invention in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0021] Figure 1 A schematic block diagram of the power supply principle of a head-mounted display device provided in some embodiments of the present application;

[0022] Figure 2A flowchart of a method for monitoring impedance of a rear battery cable of a head-mounted display device provided in some embodiments of the present application;

[0023] Figure 3 A flow chart of a method for obtaining effective battery current in a method for monitoring impedance of a rear battery cable of a head-mounted display device provided in some embodiments of the present application;

[0024] Figure 4 A flow chart of a method for obtaining an effective battery voltage in a method for monitoring the impedance of a rear battery cable of a head-mounted display device provided in some embodiments of the present application;

[0025] Figure 5 A flow chart of a method for obtaining an effective battery terminal voltage in a method for monitoring the impedance of a rear battery cable of a head-mounted display device provided in some embodiments of the present application;

[0026] Figure 6 A flowchart of a method for monitoring impedance of a rear battery cable of a head-mounted display device provided in some embodiments of the present application;

[0027] Figure 7 This is a schematic block diagram of the structure of a rear battery cable impedance monitoring device in a head-mounted display device provided in some embodiments of the present application;

[0028] Figure 8 This is a schematic block diagram of the structure of a first sampling processing module in a head-mounted display device provided in some embodiments of the present application;

[0029] Figure 9 This is a schematic block diagram of the structure of a second sampling processing module in a head-mounted display device provided in some embodiments of the present application;

[0030] Figure 10 This is a schematic block diagram of the structure of a third sampling processing module in a head-mounted display device provided in some embodiments of the present application;

[0031] Figure 11 This is a schematic block diagram of the structure of a rear battery cable impedance monitoring device in a head-mounted display device provided in some embodiments of the present application;

[0032] Figure 12 This is a schematic block diagram of the structure of a mode configuration module in a head-mounted display device provided in some embodiments of the present application. DETAILED DESCRIPTION

[0033] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments.

[0034] The terms "first," "second," "third," and so on, in the description, claims, and drawings of the present invention are used to distinguish between different items, not to describe a specific order. Furthermore, the terms "including," "having," and any variations thereof, represent non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or elements is not limited to the listed steps or elements, but may optionally include steps or elements not listed, or may optionally include other steps or elements inherent to the process, method, product, or apparatus.

[0035] In the present invention, the phrase "embodiment" means that a particular feature, structure, or characteristic described in conjunction with the embodiment may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. Those skilled in the art will appreciate that the embodiments described herein may be combined with other embodiments.

[0036] Moving the battery of a head-mounted display device from the front to the rear increases the length of the battery cable, which inevitably introduces a large impedance between the battery and the power management chip, thereby affecting the main control system of the head-mounted display device's detection of battery voltage, temperature and other information, and may further cause other functional defects. The first aspect of the present application provides a method for monitoring the impedance of the rear battery cable of a head-mounted display device.

[0037] First, let's introduce the head-mounted display device. The head-mounted display device usually consists of a main shell, a facial support structure and a wearing structure; the main shell is made of lightweight materials (such as plastic, lightweight metal). The facial support structure is arranged on the main shell, and the facial support structure is preferably designed to have a shape corresponding to the curve of the human face, so that it is in close contact with the user's face. The facial support structure can also be provided with a cushioning material to cushion the physical friction and physical impact acting on the user's face. The wearing structure is used to realize the wearability of the head-mounted display device, which can be made of elastic material, for example, designed to be in the shape of a belt and equipped with a buckle or magnetic buckle with adjustable length. The wearing structure can keep the main shell stably in the user's head area and support the weight of the main shell. In addition to the belt-shaped design, the wearing structure can also be a support structure similar to the temples or helmets.

[0038] The main housing houses a display screen with two separate display areas. This separates a single image into two images corresponding to the user's left and right eyes, each displayed separately. The two display areas are configured to perform the functions of a left-eye area and a right-eye area. The display screen can be a liquid crystal display (LCD), a light-emitting diode display (LED), an OLED display, a microelectromechanical system (MEMS) display, or the like. The display screen is preferably encased in a silicone sleeve and secured with a pressure cap.

[0039] The main housing is also provided with electrical components such as a power management chip 10 at least partially integrated on the mainboard, a storage unit, a main processor, an input / output interface, and a communication interface. Exemplarily, this may be a system-on-chip. The storage unit may include volatile memory and / or non-volatile memory. The storage unit is configured to store instructions or data associated with at least one component of the head-mounted display device, such as storing an application. Exemplarily, the application may be at least one image data displayed by a display screen. The main processor may be a dedicated processor, a central processing unit (CPU), etc. The main processor may access the storage unit to execute instructions stored in the storage unit to implement related functions. The input / output interface may be a serial communication interface, and the communication interface may support different wireless communication protocols, such as WiFi, Bluetooth, and near-field communication.

[0040] The head-mounted display device also includes a rear housing. In some optional embodiments of the present application, the rear housing and the main housing are connected by a wearing structure. A rechargeable battery 20, such as a lithium battery 20, is disposed in the rear housing. The cable between the battery and the main housing is embedded in the wearing structure.

[0041] like Figure 1 As shown, the power management chip 10 can form the charging and discharging paths for the battery 20 and manage the battery 20's charging and discharging. For example, the power management chip 10 connects the external power source Vin to the battery 20, activating the charging path to charge the battery 20. Alternatively, under the control of the power management chip 10, the battery 20 can supply power to the mainboard of the head-mounted display device, i.e., to various electrical components within the head-mounted display device, including but not limited to the power management chip 10, the display, the storage unit, the main processor, the input / output interface, and the communication interface. The pins connecting the power management chip 10 to the battery 20 are defined as the battery 20 terminals, which are connected to the rechargeable battery 20, such as a lithium battery, located within the rear housing. In addition to forming the charging and discharging paths, the power management chip 10 is also configured to implement voltage conversion within the head-mounted display device (for example, providing different linear voltage outputs and reference voltages through a DC-DC converter circuit and an LDO circuit), distribution, and parameter detection (including voltage, current, and temperature). The power management chip 10 is usually provided with an independent processing circuit. The power management chip 10 can be a commercially available chip, and its model is not further limited here.

[0042] The impedance introduced by the rear battery cable will cause deviations in the detection of various parameters of the power management chip 10, which may further cause new faults. Based on this, some embodiments of the present application provide the following Figure 2 The impedance monitoring method of the rear battery cable of the head-mounted display device shown in the figure specifically includes the following steps: Figure 2 Multiple steps shown.

[0043] Step S11: Sampling multiple instantaneous battery currents, filtering the sampled multiple instantaneous battery currents using a data acquisition filtering algorithm to obtain an effective battery current I avg .

[0044] Step S12: Sampling multiple real-time battery voltages, filtering the sampled multiple real-time battery voltages using a data acquisition filtering algorithm to obtain an effective battery voltage V batt .

[0045] Step S13: sampling multiple battery terminal voltages of power management chips, and filtering the sampled battery terminal voltages of multiple power management chips using a data acquisition filtering algorithm to obtain an effective battery terminal voltage V vph .

[0046] Step S14: According to the effective battery current I avg , effective battery voltage V batt and the effective battery terminal voltage V vph Calculate the rear battery cable impedance R, That is, the real-time impedance R between the battery and the power management chip 10 is calculated using the voltage drop formed on the rear battery cable.

[0047] After calculating the rear battery cable impedance R, the rear battery cable impedance R is used to correct and compensate the collected parameters to improve parameter accuracy and avoid malfunction of the head-mounted display device due to parameter deviation.

[0048] In some optional embodiments of the present application, a median average filtering method is used to filter the sampled multiple instantaneous battery currents to obtain the effective battery current I avg , including Figure 3 Multiple steps shown.

[0049] Step S11-1: Sample i instantaneous battery currents at intervals, denoted as I1, I2, ..., I i , where i is a positive integer. For example, the optional interval is 10 ms, and five instantaneous battery currents are sampled at intervals, denoted as I1, I2, ..., I5. In other embodiments of the present application, other intervals may be set, or other numbers of instantaneous battery currents may be sampled.

[0050] Step S11-2: Select the maximum value among i instantaneous battery currents, and record it as Max(I i ).

[0051] Step S11-3: Select the minimum value among the i instantaneous battery currents, and record it as Min(I i ).

[0052] Step S11-4: Calculate the sum of the instantaneous battery currents, denoted as Sum(I i ),

[0053] Step S11-5: Calculate the effective battery current I according to the following formula avg ;

[0054]

[0055] The median average filtering method can effectively deal with the occasional pulse interference of instantaneous battery current, eliminate the sampling deviation caused by the pulse interference, and has a good inhibitory effect on periodic interference.

[0056] In other optional embodiments of the present application, other data acquisition filtering algorithms may be used to filter the sampled multiple instantaneous battery currents, such as arithmetic averaging filtering, recursive averaging filtering, clipped averaging filtering, weighted recursive averaging filtering, and the like.

[0057] In some optional embodiments of the present application, a median average filtering method is used to filter the sampled multiple real-time battery voltages to obtain the effective battery voltage V batt , including Figure 4 Multiple steps shown.

[0058] Step S12-1: Sample j real-time battery voltages at intervals, denoted as V batt1 ,V batt2 ,…,V battj , j is a positive integer. For example, the optional interval is 10ms, and 5 real-time battery voltages are sampled at intervals, which are recorded as V batt1 ,V batt2 ,…,V batt5 In some other embodiments of the present application, other intervals may be set, or other numbers of real-time battery voltages may be sampled.

[0059] Step S12-2: Select the maximum value among the j real-time battery voltages, and record it as Max(V battj ).

[0060] Step S12-3: Select the minimum value among the j real-time battery voltages, and record it as Min(V battj ).

[0061] Step S12-4: Calculate the sum of j real-time battery voltages, denoted as Sum(V battj ),

[0062] Step S12-5: Calculate the effective battery voltage V according to the following formula: batt ;

[0063]

[0064] The median average filtering method can effectively deal with the occasional pulse interference of the real-time battery voltage, eliminate the sampling deviation caused by the pulse interference, and has a good inhibitory effect on periodic interference.

[0065] In other optional embodiments of the present application, other data acquisition filtering algorithms may be used to filter the sampled multiple real-time battery voltages, such as arithmetic averaging filtering, recursive averaging filtering, clipped averaging filtering, weighted recursive averaging filtering, and the like.

[0066] In some optional embodiments of the present application, a median average filtering method is used to filter the sampled battery terminal voltages of multiple power management chips to obtain an effective battery terminal voltage V vph , including Figure 5 Multiple steps shown.

[0067] Step S13-1: sampling the voltage of the battery terminals of k power management chips at intervals, recorded as V vph1 ,V vph2 ,…,V vphk , k is a positive integer. For example, the optional interval is 10ms, and the battery terminal voltage of 5 power management chips is sampled at intervals, which is recorded as V vph1 ,V vph2 ,…,V vph5 In some other embodiments of the present application, other intervals may be set, or other numbers of battery terminal voltages of the power management chip may be sampled.

[0068] Step S13-2: Select the maximum value among the battery terminal voltages of k power management chips, and record it as Max (V vphk ).

[0069] Step S13-3: Select the minimum value among the battery terminal voltages of k power management chips, and record it as Min (V vphk ).

[0070] Step S13-4: Calculate the sum of the voltages at the battery terminals of k power management chips, denoted as Sum(V vphk ),

[0071] Step S13-5: Calculate the effective battery terminal voltage V according to the following formula vph ;

[0072]

[0073] The median average filtering method can effectively deal with the occasional pulse interference of the battery terminal voltage of the power management chip, eliminate the sampling deviation caused by the pulse interference, and has a good inhibitory effect on periodic interference.

[0074] In other optional embodiments of the present application, other data acquisition filtering algorithms can also be used to filter the sampled battery terminal voltages of multiple power management chips, such as arithmetic average filtering method, recursive average filtering method, limited average filtering method, weighted recursive average filtering method, etc.

[0075] To ensure the stability of electrical parameters during monitoring, such as Figure 6 As shown, in some optional embodiments of the present application, before sampling multiple instantaneous battery currents, real-time battery voltages and battery terminal voltages of the power management chip, the following is also included: Figure 6 Multiple steps shown.

[0076] Step S21: Read the current charging mode.

[0077] Step S22: Sampling the real-time charging current I cur .

[0078] Step S23: Under the condition that the current charging mode is the fast charging mode, reduce the real-time charging current to the set charging current to ensure the stability of the actual value of the charging current. In an optional embodiment of the present application, the set charging current is preferably half of the real-time charging current, that is, the charging current is set to I cur / 2.

[0079] The second aspect of the present application provides a head mounted display device. The head mounted display device includes a rear battery cable impedance monitoring device 30. The rear battery cable impedance monitoring device 30 has the following features: Figure 7 Multiple modules are shown.

[0080] Specifically, it includes:

[0081] The first sampling processing module 31 is configured to sample multiple instantaneous battery currents and filter the sampled multiple instantaneous battery currents using a data acquisition filtering algorithm to obtain an effective battery current I avg .

[0082] The second sampling processing module 32 is configured to sample multiple real-time battery voltages and filter the sampled multiple real-time battery voltages using a data acquisition filtering algorithm to obtain an effective battery voltage V batt .

[0083] The third sampling processing module 33 is configured to sample the battery terminal voltages of multiple power management chips, and filter the sampled battery terminal voltages of multiple power management chips using a data acquisition filtering algorithm to obtain an effective battery terminal voltage V vph .

[0084] The calculation module 34 is configured to calculate the effective battery current I avg , effective battery voltage V batt and the effective battery terminal voltage V vph Calculate the rear battery cable impedance R,

[0085] The head-mounted display device provided in the present application, wherein the rear battery cable impedance monitoring device 30 can calculate and provide the rear battery cable impedance R. The head-mounted display device can use the rear battery cable impedance R to correct and compensate the collected parameters, thereby improving the parameter accuracy and avoiding malfunction of the head-mounted display device due to parameter deviation.

[0086] In some optional embodiments of the present application, the first sampling processing module 31 is configured to filter the sampled multiple instantaneous battery currents using a median average filtering method to obtain an effective battery current I avg The first sampling processing module 31 includes the following Figure 8 Multiple components shown.

[0087] The battery current sampling unit 311 is configured to sample i instantaneous battery currents at intervals, denoted as I1, I2, ..., I i , where i is a positive integer. An optional interval of 10 ms is used to sample five instantaneous battery currents, denoted as I1, I2, ..., I5. In other embodiments of the present application, other intervals may be set, or other numbers of instantaneous battery currents may be sampled.

[0088] The maximum battery current selection unit 312 is configured to select the maximum value among i instantaneous battery currents, which is recorded as Max(I i ).

[0089] The minimum battery current selection unit 313 is configured to select the minimum value of i instantaneous battery currents, which is recorded as Min(I i ).

[0090] The total battery current calculation unit 314 is configured to calculate the sum of i instantaneous battery currents, which is recorded as Sum(I i ),

[0091] The effective battery current calculation unit 315 is configured to calculate the effective battery current I according to the following formula: avg ;

[0092]

[0093] In some optional embodiments of the present application, the first sampling processing module 31 can also be configured to use other data acquisition filtering algorithms to filter the sampled multiple instantaneous battery currents, such as arithmetic averaging filtering method, recursive averaging filtering method, clipped averaging filtering method, weighted recursive averaging filtering method, etc.

[0094] In some optional embodiments of the present application, the second sampling processing module 32 is configured to filter the sampled multiple real-time battery voltages using a median average filtering method to obtain an effective battery voltage V batt The second sampling processing module 32 includes the following Figure 9 Multiple parts shown.

[0095] The battery voltage sampling unit 321 is configured to sample j real-time battery voltages at intervals, denoted as V batt1 ,V batt2 ,…,V battj , where j is a positive integer. For example, the optional interval is 10ms, and 5 real-time battery voltages are sampled at intervals, recorded as V batt1 ,V batt2 ,…,V batt5 In some other embodiments of the present application, other intervals may be set, or other numbers of real-time battery voltages may be sampled.

[0096] The maximum battery voltage selection unit 322 is configured to select the maximum value of j real-time battery voltages, which is recorded as Max(V battj ).

[0097] The minimum battery voltage selection unit 323 is configured to select the minimum value of j real-time battery voltages, which is recorded as Min (V battj ).

[0098] The total battery voltage calculation unit 324 is configured to calculate the sum of i real-time battery voltages, which is recorded as Sum(V battj ),

[0099] The effective battery voltage calculation unit 325 is configured to calculate the effective battery voltage V according to the following formula: batt ;

[0100]

[0101] In some alternative embodiments of the present application, other data collection filtering algorithms can also be used to filter the sampled plurality of real-time battery voltages, such as arithmetic average filtering, recursive average filtering, clip average filtering, weighted recursive average filtering, and the like.

[0102] In some alternative embodiments of the present application, the third sampling processing module 33 is configured to filter the sampled plurality of power management chip battery terminal voltages using a median average filtering method to obtain the effective battery terminal voltage V vph The third sampling processing module 33 includes a plurality of components as shown in FIG. 3B. Figure 10

[0103] The battery terminal voltage sampling unit 331 is configured to sample k power management chip battery terminal voltages at intervals, denoted as V vph1 ,V vph2 ,…,V vphk , where k is a positive integer. For example, the sampling interval can be 10 ms, and 5 power management chip battery terminal voltages can be sampled at intervals, denoted as V vph1 ,V vph2 ,…,V vph5 In some other embodiments of the present application, other interval values can be set, or other numbers of power management chip battery terminal voltages can be sampled.

[0104] The maximum battery terminal voltage selection unit 332 is configured to select the maximum value among the k power management chip battery terminal voltages, denoted as Max(V vphk ).

[0105] The minimum battery terminal voltage selection unit 333 is configured to select the minimum value among the k power management chip battery terminal voltages, denoted as Min(V vphk ).

[0106] The battery terminal voltage sum calculation unit 334 is configured to calculate the sum of the k power management chip battery terminal voltages, denoted as Sum(V vphk ),

[0107] The effective battery terminal voltage calculation unit 335 is configured to calculate the effective battery terminal voltage V vph according to the following formula:

[0108]

[0109] ​In some optional embodiments of the present application, the third sampling processing module 33 can also be configured to use other data acquisition filtering algorithms to filter the sampled battery terminal voltages of multiple power management chips, such as arithmetic average filtering method, recursive average filtering method, limited average filtering method, weighted recursive average filtering method, etc.

[0110] In some optional embodiments of the present application, such as Figure 11 As shown, the rear battery cable impedance monitoring device 30 also has a mode configuration module 41. Figure 12 As shown, the mode configuration module 41 includes:

[0111] The mode acquisition unit 41 - 1 is configured to read the current charging mode.

[0112] The charging current sampling unit 41-2 is configured to sample the real-time charging current I cur .

[0113] The steady current control unit 41-3 is configured to reduce the real-time charging current to the set charging current under the condition that the current charging mode is the fast charging mode, so as to ensure the stability of the actual value of the charging current. In an optional embodiment of the present application, the set charging current is preferably half of the real-time charging current, that is, the set charging current is I cur / 2.

[0114] Some optional embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables the head-mounted display device to perform part or all of the steps of any method described in the above method embodiments.

[0115] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0116] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are merely schematic, and the division of the above-mentioned units or modules is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical or other forms.

[0117] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one physical space, or may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0118] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0119] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for a person skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to replace some of the technical features therein with equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions claimed to be protected by the present invention.

Claims

1. A method for monitoring the impedance of a rear battery cable of a head-mounted display device, characterized in that: The head-mounted display device includes: A main housing, wherein the main housing is provided with a power management chip at least partially integrated on the mainboard; a rear housing in which a rechargeable battery is disposed; The main housing and the rear housing are connected by a wearing structure, and the cable between the battery and the mainboard is buried in the wearing structure; The method comprises the following steps: Sample multiple instantaneous battery currents and use data acquisition filtering algorithm to filter the sampled multiple instantaneous battery currents to obtain the effective battery current ; Sample multiple real-time battery voltages and use data acquisition filtering algorithm to filter the sampled multiple real-time battery voltages to obtain the effective battery voltage ; Sampling multiple battery terminal voltages of power management chips, wherein the battery terminals are electrically connected to batteries, and filtering the sampled battery terminal voltages of multiple power management chips using a data acquisition filtering algorithm to obtain an effective battery terminal voltage ; According to the effective battery current , effective battery voltage and effective battery terminal voltage Calculating rear battery cable impedance , .

2. The method for monitoring impedance of a rear battery cable of a head-mounted display device according to claim 1, wherein: The median average filtering method is used to filter the multiple instantaneous battery currents sampled to obtain the effective battery current ; Interval sampling The instantaneous battery current is recorded as ,…, ,in is a positive integer; Select The maximum value among the instantaneous battery currents is recorded as ; Select The minimum value of the instantaneous battery current is recorded as ; calculate The sum of the instantaneous battery currents is recorded as , ; Calculate the effective battery current according to the following formula ; 。 3. The method for monitoring impedance of a rear battery cable of a head-mounted display device according to claim 1, wherein: The median average filtering method is used to filter the sampled multiple real-time battery voltages to obtain the effective battery voltage ; Interval sampling The real-time battery voltage is recorded as ,…, is a positive integer; Select The maximum value of the real-time battery voltage is recorded as ; Select The minimum value of the real-time battery voltage is recorded as ; Calculate the sum of j real-time battery voltages, recorded as , ; Calculate the effective battery voltage according to the following formula ; 。 4. The method for monitoring impedance of a rear battery cable of a head-mounted display device according to claim 1, wherein: The median average filtering method is used to filter the sampled battery terminal voltages of multiple power management chips to obtain the effective battery terminal voltage ; Interval sampling The battery terminal voltage of the power management chip is recorded as ,…, is a positive integer; Select The maximum value among the battery terminal voltages of the power management chips is recorded as ; Select The minimum value of the battery terminal voltage of the power management chip is recorded as ; calculate The sum of the battery terminal voltages of the power management chips is recorded as , ; Calculate the effective battery terminal voltage according to the following formula ; 。 5. The method for monitoring impedance of a rear battery cable of a head-mounted display device according to any one of claims 1 to 4, characterized in that: Before sampling multiple instantaneous battery currents, real-time battery voltages, and battery terminal voltages of a power management chip, the following steps are also included: Read the current charging mode; Sample real-time charging current; Under the condition that the current charging mode is the fast charging mode, the real-time charging current is reduced to the set charging current.

6. A head-mounted display device, characterized in that: include: A main housing, wherein the main housing is provided with a power management chip at least partially integrated on the mainboard; a rear housing in which a rechargeable battery is disposed; The main housing and the rear housing are connected by a wearing structure, and the cable between the battery and the mainboard is buried in the wearing structure; A rear battery cable impedance monitoring device, the rear battery cable impedance monitoring device comprising: The first sampling processing module is configured to sample multiple instantaneous battery currents, filter the sampled multiple instantaneous battery currents using a data acquisition filtering algorithm, and obtain an effective battery current ; The second sampling processing module is configured to sample multiple real-time battery voltages, and filter the sampled multiple real-time battery voltages using a data acquisition filtering algorithm to obtain an effective battery voltage. ; The third sampling processing module is configured to sample the battery terminal voltages of multiple power management chips, and filter the sampled battery terminal voltages of multiple power management chips using a data acquisition filtering algorithm to obtain an effective battery terminal voltage. ; and The calculation module is configured to calculate the current of the battery according to the effective battery current. , effective battery voltage and effective battery terminal voltage Calculating rear battery cable impedance , .

7. The head mounted display device according to claim 6, wherein: The first sampling processing module is configured to filter the multiple instantaneous battery currents sampled using a median average filtering method to obtain an effective battery current ; The first sampling processing module includes: A battery current sampling unit configured for interval sampling The instantaneous battery current is recorded as ,…, ,in is a positive integer; The maximum battery current selection unit is configured to select The maximum value among the instantaneous battery currents is recorded as ; Minimum battery current selection unit, the minimum battery current selection unit is configured to select The minimum value of the instantaneous battery current is recorded as ; A total battery current calculation unit is configured to calculate The sum of the instantaneous battery currents is recorded as , ;and The effective battery current calculation unit is configured to calculate the effective battery current according to the following formula ; 。 8. The head mounted display device according to claim 6, wherein: The second sampling processing module is configured to filter the sampled multiple real-time battery voltages using a median average filtering method to obtain an effective battery voltage ; The second sampling processing module includes: A battery voltage sampling unit configured for interval sampling The real-time battery voltage is recorded as ,…, ,in is a positive integer; A maximum battery voltage selection unit is configured to select a maximum battery voltage The maximum value of the real-time battery voltage is recorded as ; A minimum battery voltage selection unit is configured to select a minimum battery voltage selection unit. The minimum value of the real-time battery voltage is recorded as ; A total battery voltage calculation unit is configured to calculate The sum of the real-time battery voltages is recorded as , ;and The effective battery voltage calculation unit is configured to calculate the effective battery voltage according to the following formula ; 。 9. The head mounted display device according to claim 6, wherein: The third sampling processing module is configured to filter the sampled battery terminal voltages of multiple power management chips using a median average filtering method to obtain an effective battery terminal voltage ; The third sampling processing module includes: The battery terminal voltage sampling unit is configured to sample the battery terminal voltage at intervals. The battery terminal voltage of the power management chip is recorded as ,…, ,in is a positive integer; The maximum battery terminal voltage selection unit is configured to select The maximum value among the battery terminal voltages of the power management chips is recorded as ; The minimum battery terminal voltage selection unit is configured to select The minimum value of the battery terminal voltage of the power management chip is recorded as ; The battery terminal voltage sum calculation unit is configured to calculate The sum of the battery terminal voltages of the power management chips is recorded as , ; and The effective battery terminal voltage calculation unit is configured to calculate the effective battery terminal voltage according to the following formula ; 。 10. The head mounted display device according to any one of claims 6 to 9, characterized in that: The rear battery cable impedance monitoring device further comprises: a mode configuration module; The mode configuration module includes: a mode acquisition unit, configured to read a current charging mode; a charging current sampling unit configured to sample a real-time charging current; and The current stabilization control unit is configured to reduce the real-time charging current to the set charging current under the condition that the current charging mode is the fast charging mode.

Citation Information

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