Device and method for estimating load using vibration

Abstract

A load estimation device and method using vibration are disclosed. A load estimation device for estimating the load of a hydrogen storage alloy storage container included in a hydrogen fuel cell-based mobility is provided on a lower pad installed at the bottom of the hydrogen storage alloy storage container and includes a sensor unit that measures vibration-related acceleration transmitted to the lower pad according to the weight of the hydrogen storage alloy storage container and the driving of the mobility, and a control unit that derives compression vibration characteristic data according to the load of the lower pad based on the measured acceleration and estimates the load of the hydrogen storage alloy storage container using the derived vibration characteristic data.

Description

Technology Field

[0001] The present invention relates to a load estimation device, and more specifically, to a load estimation device and method using vibration that estimates the load of an object based on vibration characteristics and the deformation of a lower pad supporting the object. Background Technology

[0002] Generally, force sensors such as load cells are widely used to measure loads applied to objects. However, such sensors have limitations, as they must be directly attached to structures, incur high installation costs, and restrict measurable locations. Particularly in the case of large structures or moving objects, not only is sensor installation difficult or requires a large number of sensors, but frequent sensor failures also lead to issues regarding reliability and cost.

[0003] Therefore, there is a need for a method that can accurately estimate the load of an object non-contactually, even without measuring the load through direct contact like a force sensor. Prior art literature

[0004] Registered Patent Publication No. 10-2456262 (October 14, 2022) The problem to be solved

[0005] The problem to be solved by the present invention is to provide a vibration-based load estimation apparatus and method for estimating the load of a hydrogen storage alloy storage container based on vibration characteristics and the deformation of a lower pad supporting the hydrogen storage alloy storage container in hydrogen fuel cell-based mobility. means of solving the problem

[0006] To solve the above problem, a load estimation device for estimating the load of a hydrogen storage alloy storage container included in a hydrogen fuel cell-based mobility according to the present invention is provided on a lower pad installed at the bottom of the hydrogen storage alloy storage container and includes a sensor unit that measures the weight of the hydrogen storage alloy storage container and vibration-related acceleration transmitted to the lower pad according to the driving of the mobility, and a control unit that derives compression vibration characteristic data according to the load of the lower pad based on the measured acceleration and estimates the load of the hydrogen storage alloy storage container using the derived vibration characteristic data.

[0007] In addition, the control unit is characterized by matching the previously stored reference data related to the pressure vibration characteristics of the lower pad with the pressure vibration characteristic data, and estimating the load corresponding to the matched reference data as the load of the hydrogen storage alloy storage container.

[0008] In addition, the control unit is characterized by correcting the compression vibration characteristic data using the received driving data when driving data of the mobility is received, so that the driving characteristics of the mobility are reflected in the vibration characteristics.

[0009] In addition, the driving data is characterized by including at least one of the movement speed, direction of movement, inclination due to road surface environment, impact, and vibration of the mobility.

[0010] In addition, the control unit is characterized by calculating the amount of hydrogen stored in the hydrogen storage alloy storage container using the estimated load, and controlling the output of a notification signal when the calculated amount of hydrogen stored is lower than a preset reference amount.

[0011] In addition, the lower pad is formed of an elastic material and is installed at least one at each lower corner of the hydrogen storage alloy storage container, and is characterized by having its shape changed by adjusting the amount of compression according to the load.

[0012] A load estimation method performed by a load estimation device for estimating the load of a hydrogen storage alloy storage container included in a hydrogen fuel cell-based mobility according to the present invention comprises the steps of: measuring the weight of the hydrogen storage alloy storage container and vibration-related acceleration transmitted to a lower pad installed at the bottom of the hydrogen storage alloy storage container according to the driving of the mobility; deriving compression vibration characteristic data according to the load of the lower pad based on the measured acceleration; and estimating the load of the hydrogen storage alloy storage container using the derived vibration characteristic data. Effects of the invention

[0013] According to an embodiment of the present invention, by estimating the load of a hydrogen storage alloy storage container based on vibration characteristics and the deformation of a lower pad supporting the hydrogen storage alloy storage container in hydrogen fuel cell-based mobility, it is possible to avoid harsh environments where heavy objects are directly measured, thereby ensuring reliability against sensor failure while simultaneously measuring the load accurately at low cost.

[0014] In addition, by utilizing the load of the hydrogen storage alloy container, it helps to check the amount of hydrogen stored in the container in real time, enabling hydrogen refueling at the right time and place. Brief explanation of the drawing

[0015] FIG. 1 is a configuration diagram for explaining a load estimation system according to an embodiment of the present invention. FIG. 2 is a drawing for explaining hydrogen fuel cell-based mobility according to an embodiment of the present invention. FIG. 3 is a block diagram illustrating a load estimation device according to an embodiment of the present invention. Figure 4 is a diagram illustrating the load estimation process according to a real-time example of the present invention. FIG. 5 is a drawing for explaining deformation and compression vibration characteristic data of a lower pad according to a load according to an embodiment of the present invention. FIG. 6 is a flowchart illustrating a load estimation method according to an embodiment of the present invention. FIG. 7 is a block diagram illustrating a computing device according to an embodiment of the present invention. Specific details for implementing the invention

[0016] Embodiments of the present invention are described below with reference to the attached drawings so that those skilled in the art can easily implement them. However, the present invention may be embodied in various different forms and is not limited to the embodiments described herein. Furthermore, in order to clearly explain the present invention in the drawings, parts unrelated to the explanation have been omitted, and similar parts throughout the specification are denoted by similar reference numerals.

[0017] In this specification and drawings (hereinafter referred to as the 'this specification'), redundant descriptions of identical components are omitted.

[0018] Furthermore, when a component is described in this specification as being 'connected' or 'connected' to another component, it should be understood that it may be directly connected to or connected to the other component, or that there may be other components in between. On the other hand, when a component is described in this specification as being 'directly connected' or 'directly connected' to another component, it should be understood that there are no other components in between.

[0019] Furthermore, the terms used in this specification are used merely to describe specific embodiments and are not intended to limit the invention.

[0020] Additionally, in this specification, singular expressions may include plural expressions unless the context clearly indicates otherwise.

[0021] Furthermore, in this specification, terms such as 'comprising' or 'having' are intended merely to indicate the existence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not excluding in advance the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

[0022] Additionally, in this specification, the term "and / or" includes a combination of the plurality of described items or any of the plurality of described items. In this specification, "A or B" may include "A," "B," or "both A and B."

[0023] In addition, detailed descriptions of known functions and configurations that may obscure the essence of the invention will be omitted in this specification.

[0025] FIG. 1 is a configuration diagram for explaining a load estimation system according to an embodiment of the present invention, and FIG. 2 is a drawing for explaining hydrogen fuel cell-based mobility according to an embodiment of the present invention.

[0026] Referring to FIGS. 1 and 2, a load estimation system (300) estimates the load of a hydrogen storage alloy storage container based on vibration characteristics in a hydrogen fuel cell-based mobility (M) and deformation of a lower pad supporting the hydrogen storage alloy (Metal Hydride, MH) storage container. The mobility (M) is a means of transportation that receives power from a hydrogen-based hydrogen fuel cell and may be a forklift, excavator, wheel loader, tractor, etc. That is, the mobility (M) includes a power system that supplies power, and the power system may include a hybrid power management module (including a battery and capacitor), a fuel cell module, and a hydrogen storage alloy storage module. Here, the load estimation system (300) can estimate the load of the hydrogen storage alloy storage container included in the hydrogen storage alloy storage module. The load estimation system (300) includes a load estimation device (100) and a user terminal (200).

[0027] The load estimation device (100) is installed in a hydrogen fuel cell-based mobility (M) and can be linked with the mobility (M). The load estimation device (100) estimates the load on the hydrogen storage alloy storage container of the hydrogen fuel cell-based mobility (M). That is, the load estimation device (100) performs indirect load estimation using vibration rather than direct load measurement. As a result, the load estimation device (100) ensures reliability by preventing sensor failures that occur when continuously measuring the load for heavy weight, while simultaneously estimating the load accurately at low cost by not using high-cost sensors for measuring heavy weight. The load estimation device (100) calculates the amount of hydrogen stored in the hydrogen storage alloy storage container based on the estimated load. If the calculated amount of hydrogen stored is lower than a preset reference amount, the load estimation device (100) outputs an alert signal. Here, the reference amount refers to the amount of hydrogen stored in a state where approximately 80% to 90% or more of the total charging capacity has been discharged. The load estimation device (100) generates monitoring information indicating the charging status of the mobility (M). The monitoring information may indicate the real-time status of the mobility (M) and may include the load of the hydrogen storage alloy storage container, the amount of hydrogen stored, etc. The load estimation device (100) may transmit the generated monitoring information to a user terminal (200).

[0028] The user terminal (200) is a terminal used by a user (or driver) and communicates with the load estimation device (100). The user terminal (200) receives monitoring information from the load estimation device (100) and outputs the received monitoring information. Through this, the user terminal (200) enables the user to check the charging status of the mobility (M) even when the user is remote.

[0029] Meanwhile, the load estimation system (300) supports communication between the load estimation device (100) and the user terminal (200) by establishing a communication network (350). The communication network (350) may be composed of a backbone network and a subscriber network. The backbone network may be composed of one or more integrated networks among an X.25 network, a Frame Relay network, an ATM network, an MPLS (Multi-Protocol Label Switching) network, and a GMPLS (Generalized Multi-Protocol Label Switching) network. The subscriber network may be FTTH (Fiber To The Home), ADSL (Asymmetric Digital Subscriber Line), cable network, Zigbee, Bluetooth, Wireless LAN (IEEE 802.11b, IEEE 802.11a, IEEE 802.11g, IEEE 802.11n), Wireless Hart (ISO / IEC 62591-1), ISA 100.11a (ISO / IEC 62734), CoAP (Constrained Application Protocol), MQTT (Message Queuing Telemetry Transport), WIBro (Wireless Broadband), WiMAX, 3G, HSDPA (High Speed ​​Downlink Packet Access), 4G, 5G, and 6G, etc. In some embodiments, the communication network (350) may be an internet network and a mobile communication network. Additionally, the communication network (350) may include any other widely known or future-developed wireless or wired communication methods.

[0031] FIG. 3 is a block diagram for explaining a load estimation device according to an embodiment of the present invention, FIG. 4 is a diagram for explaining a load estimation process according to a real-time example of the present invention, and FIG. 5 is a diagram for explaining deformation and compression vibration characteristic data of a lower pad according to a load according to an embodiment of the present invention. FIG. 4(a) is a diagram showing acceleration measurement data of the lower pad, FIG. 4(b) is a diagram showing compression vibration characteristic data, and FIG. 4(c) is a diagram showing program code for estimating the load. FIG. 5(a) is a diagram showing deformation and compression vibration characteristic data of the lower pad when the load of the hydrogen storage alloy storage container is a first load, FIG. 5(b) is a diagram showing deformation and compression vibration characteristic data of the lower pad when the load of the hydrogen storage alloy storage container is a second load, and FIG. 5(c) is a diagram showing deformation and compression vibration characteristic data of the lower pad when the load of the hydrogen storage alloy storage container is a third load.

[0032] Referring to FIGS. 1 to 5, the load estimation device (100) includes a sensor unit (20) and a control unit (30), and may further include a communication unit (10), an output unit (40), and a storage unit (50).

[0033] The communication unit (10) performs communication with the user terminal (200) and the mobility (M). The communication unit (10) transmits monitoring information related to the mobility (M) to the user terminal (200). The communication unit (10) receives driving data indicating the driving status of the mobility (M) via CAN (Controller Area Network) communication. Here, the driving data may include at least one of the movement speed, direction of movement, inclination due to the road surface environment, impact, and vibration of the mobility (M).

[0034] The sensor unit (20) is provided on a lower pad (P) installed at the bottom of the hydrogen storage alloy storage container (C). The lower pad (P) is formed of an elastic material and is installed at least one at each lower corner of the hydrogen storage alloy storage container (C). The shape of the lower pad (P) can be changed by adjusting the amount of compression according to the load of the hydrogen storage alloy storage container (C). The sensor unit (20) measures vibration-related acceleration transmitted to the lower pad (P) according to the weight of the hydrogen storage alloy storage container (C) and the movement of the mobility (M). To this end, the sensor unit (20) may be an acceleration sensor that measures acceleration and may be provided at least one at each lower pad (P). That is, the sensor unit (20) can measure acceleration for the front-left corner, front-right corner, rear-left corner, and rear-right corner of the lower pad (P), respectively.

[0035] The control unit (30) performs overall control of the load estimation device (100). When the mobility (M) is turned on, the control unit (30) drives the sensor unit (20) to measure the vibration-related acceleration of the lower pad (P). Based on the measured acceleration data (Fig. 4 (a)), the control unit (30) derives compression vibration characteristic data according to the load of the lower pad (P) (Fig. 4 (b)). At this time, the control unit (30) can derive compression vibration characteristic data using acceleration data measured by a plurality of sensors installed on the lower part of the lower pad (P). The compression vibration characteristic data is data representing the vibration characteristics generated as the lower pad (P) is pressed by the load, and can be derived based on the acceleration of the lower pad (P). The control unit (30) matches the reference data related to the compression vibration of the lower pad (P) stored in the storage unit (50) with the derived compression vibration characteristic data, and estimates the load corresponding to the matched reference data as the load of the hydrogen storage alloy storage container (C) (Fig. 4 (c)). That is, if the derived compression vibration characteristic data has characteristic A, the control unit (30) can match it with reference data having characteristic A in a previously stored database, and then estimate the load corresponding to the matched reference data as the load of the hydrogen storage alloy storage container (C). The reference data is a standard for diagnosing the state related to compression vibration, and may be a database constructed in the form of a lookup table or the like, for the characteristics of compression vibration occurring under pre-set conditions prior to estimating the load.For example, the control unit (30) can collect data related to the compression vibration characteristics of the lower pad (P) that occur in various embodiments, such as when a first load is generated by the weight of the hydrogen storage alloy storage container (C) and the height of the lower pad (P) is deformed to 10 mm (Fig. 5 (a)), when a second load is generated by the weight of the hydrogen storage alloy storage container (C) and the height of the lower pad (P) is deformed to 5 mm (Fig. 5 (b)), and when a third load is generated by the weight of the hydrogen storage alloy storage container (C) and the height of the lower pad (P) is deformed to 2 mm (Fig. 5 (c)), and can database the collected data related to the compression vibration characteristics.

[0036] Here, when the control unit (30) receives driving data from the Electronic Control Unit (ECU) of the mobility (M), it can use the received driving data to correct the derived compression vibration characteristic data so that the driving characteristics of the mobility (M) are reflected in the vibration characteristics. The driving data is measured by an Inertial Measurement Unit (IMU) sensor embedded in the mobility (M) and may include at least one of the movement speed, direction of movement, inclination due to the road surface environment, impact, and vibration of the mobility (M). That is, the control unit (30) can control the compression vibration characteristic data by reflecting the vehicle body vibrations that vary due to the movement speed and direction of movement of the mobility (M), the condition of the road surface, etc., so that only the vibrations related to the load of the actual hydrogen storage alloy storage container (C), from which driving-related vibrations are excluded, appear in the compression vibration characteristic data.

[0037] The control unit (30) calculates the amount of hydrogen stored in the hydrogen storage alloy storage container (C) using the estimated load. For example, the control unit (30) can compare the load when the hydrogen storage alloy storage container (C) is fully filled with hydrogen (hydrogen storage amount is 100%) with the estimated load and calculate the amount of hydrogen stored using the result of the comparison. Alternatively, the control unit (30) can compare the load when the hydrogen storage alloy storage container (C) is empty (hydrogen storage amount is 0%) with the estimated load and calculate the amount of hydrogen stored using the result of the comparison. If the calculated amount of hydrogen stored is lower than the preset reference storage amount, the control unit (30) can control the output unit (40) to output a notification signal indicating that charging is required. Through this, the control unit (30) supports stable driving by making the driver aware that it is time to charge hydrogen. The standard storage capacity refers to the hydrogen storage capacity in a state where approximately 80% to 90% or more of the total charging capacity is discharged.

[0038] The control unit (30) generates monitoring information indicating the charging status of the mobility (M). The monitoring information may indicate the real-time status of the mobility (M) and may include the load of the hydrogen storage alloy storage container (C), the amount of hydrogen stored, etc. The control unit (30) may control the generated monitoring information to be output by the output unit (40) or to be transmitted to the user terminal (200).

[0039] The output unit (40) may be installed on the dashboard of the mobility (M), but is not limited thereto. The output unit (40) may output information to produce visual and auditory effects. At this time, the output unit (40) may output information collected, received, estimated, calculated, and generated during the process of estimating the load of the hydrogen storage alloy storage container (C) and calculating the amount of hydrogen stored. For example, the output unit (40) may output vibration-related acceleration, compression vibration characteristic data, the load of the hydrogen storage alloy storage container, driving data, monitoring information, notification signals, etc.

[0040] The storage unit (50) stores a program or algorithm for driving the load estimation device (100). The storage unit (50) may store information collected, received, estimated, calculated, and generated during the process of estimating the load of the hydrogen storage alloy storage container (C) and calculating the hydrogen storage amount. Additionally, the storage unit (50) may store information that serves as a reference for estimating the load of the hydrogen storage alloy storage container (C). For example, the storage unit (50) may store vibration-related acceleration, compression vibration characteristic data, load of the hydrogen storage alloy storage container, driving data, monitoring information, notification signals, reference data, reference storage amount, etc. The storage unit (50) may include a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (e.g., SD or XD memory), RAM (Random Access Memory), SRAM (Static Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory), magnetic memory, a magnetic disk, and an optical disk.

[0042] FIG. 6 is a flowchart illustrating a load estimation method according to an embodiment of the present invention.

[0043] Referring to FIGS. 1 and 6, the load estimation method estimates the load of a hydrogen storage alloy storage container based on vibration characteristics and deformation of the lower pad supporting the hydrogen storage alloy storage container in a hydrogen fuel cell-based mobility (M), thereby avoiding harsh environments where heavy objects are measured directly, ensuring reliability against sensor failure, and enabling accurate load measurement at low cost. In addition, the load estimation method helps to check the amount of hydrogen stored in the hydrogen storage alloy storage container in real time using the load of the hydrogen storage alloy storage container, thereby facilitating hydrogen charging at the right time and place.

[0044] In step S110, the load estimation device (100) receives a start signal indicating that the hydrogen fuel cell-based mobility (M) is turned on. The load estimation device (100) can be activated simultaneously with receiving the start signal. Here, the turning on of the mobility (M) means that vibration occurs in the vehicle body.

[0045] In step S120, the load estimation device (100) measures the acceleration of the lower pad installed on the lower part of the hydrogen storage alloy storage container of the mobility (M). The load estimation device (100) generates acceleration data by measuring the vibration-related acceleration transmitted to the lower pad according to the weight of the hydrogen storage alloy storage container and the movement of the mobility (M). At this time, the load estimation device (100) can generate acceleration data for each acceleration sensor provided at each corner of the lower pad.

[0046] In step S130, the load estimation device (100) derives compression vibration characteristic data. The load estimation device (100) derives compression vibration characteristic data according to the load of the lower pad based on the generated acceleration data. The compression vibration characteristic data may be data representing vibration characteristics that occur as the lower pad is pressed by the load. At this time, the load estimation device (100) can derive compression vibration characteristic data for each corner portion of the lower pad.

[0047] In step S140, the load estimation device (100) determines whether driving data of the mobility (M) has been received. If the driving data of the mobility (M) is received, the load estimation device (100) performs step S150, and if it is not received, performs step S160. Here, the driving data may be received from the ECU of the mobility (M) and may include at least one of the movement speed, direction of movement, inclination due to road surface environment, impact, and vibration of the mobility (M).

[0048] In step S150, the load estimation device (100) corrects the compression vibration characteristic data using the driving data of the mobility (M). The load estimation device (100) can correct the estimated compression vibration characteristic data so that the driving characteristics of the mobility (M) are reflected in the vibration characteristics.

[0049] In step S160, the load estimation device (100) estimates the load of the hydrogen storage alloy storage container. The load estimation device (100) matches the reference data related to the compression vibration characteristics of the previously stored lower pad with the compression vibration characteristic data, and can estimate the load corresponding to the matched reference data as the load of the hydrogen storage alloy storage container.

[0050] In step S170, the load estimation device (100) calculates the hydrogen storage amount of the hydrogen storage alloy storage container. The load estimation device (100) calculates the hydrogen storage amount stored in the hydrogen storage alloy storage container using the estimated load. Additionally, if the calculated hydrogen storage amount is lower than a preset reference storage amount, the load estimation device (100) can output a notification signal to induce the driver to refuel with hydrogen.

[0052] FIG. 7 is a block diagram illustrating a computing device according to an embodiment of the present invention.

[0053] Referring to FIG. 7, the computing device (TN100) may be a device described in this specification (e.g., a load estimation device, a user terminal, etc.).

[0054] The computing device (TN100) may include at least one processor (TN110), a transceiver (TN120), and a memory (TN130). Additionally, the computing device (TN100) may further include a storage device (TN140), an input interface device (TN150), an output interface device (TN160), etc. The components included in the computing device (TN100) may be connected by a bus (TN170) to communicate with each other.

[0055] The processor (TN110) can execute a program command stored in at least one of the memory (TN130) and the storage device (TN140). The processor (TN110) may refer to a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which methods according to embodiments of the present invention are performed. The processor (TN110) may be configured to implement the procedures, functions, and methods described in relation to embodiments of the present invention. The processor (TN110) can control each component of the computing device (TN100).

[0056] Each of the memory (TN130) and the storage device (TN140) can store various information related to the operation of the processor (TN110). Each of the memory (TN130) and the storage device (TN140) may be composed of at least one of a volatile storage medium and a non-volatile storage medium. For example, the memory (TN130) may be composed of at least one of read-only memory (ROM) and random access memory (RAM).

[0057] The transmitting and receiving device (TN120) can transmit or receive wired or wireless signals. The transmitting and receiving device (TN120) can be connected to a network to perform communication.

[0059] Meanwhile, embodiments of the present invention are not limited to being implemented only through the apparatus and / or methods described so far, but may also be implemented through a program that realizes a function corresponding to the configuration of the embodiments of the present invention or a recording medium on which such program is recorded, and such implementation can be easily achieved by a person skilled in the art to which the present invention belongs based on the description of the embodiments described above.

[0061] Although embodiments of the present invention have been described in detail above, the scope of the present invention is not limited thereto, and various modifications and improvements made by a person skilled in the art using the basic concept of the present invention as defined in the following claims also fall within the scope of the present invention. Explanation of the symbols

[0062] 10: Communications Department 20: Sensor section 30: Control unit 40: Output section 50: Storage section 100: Load estimation device 200: User terminal 300: Load Estimation System 350: Communication network

Claims

Claim 1 A load estimation device for estimating the load of a hydrogen storage alloy storage container included in a hydrogen fuel cell-based mobility, comprising: a sensor unit provided on a lower pad made of an elastic material installed at the bottom of the hydrogen storage alloy storage container, and measuring vibration-related acceleration transmitted to the lower pad according to the weight of the hydrogen storage alloy storage container and the driving of the mobility; and a control unit that derives compression vibration characteristic data, which is a vibration characteristic generated by being pressed by the load of the lower pad based on the measured acceleration, and estimates the load of the hydrogen storage alloy storage container using the derived compression vibration characteristic data; wherein the lower pad is installed at least one at each lower corner of the hydrogen storage alloy storage container, and its shape changes as the amount of compression is adjusted according to the load, and the control unit matches the derived compression vibration characteristic data with reference data related to the compression vibration characteristic of the lower pad that has been stored previously, and estimates the load corresponding to the matched reference data as the load of the hydrogen storage alloy storage container. Claim 2 delete Claim 3 A load estimation device according to claim 1, wherein the control unit corrects the compression vibration characteristic data using the received driving data so that the driving characteristics of the mobility are reflected in the vibration characteristics when driving data of the mobility is received. Claim 4 A load estimation device according to claim 3, wherein the driving data comprises at least one of the movement speed, direction of movement, inclination due to road surface environment, impact, and vibration of the mobility. Claim 5 A load estimation device according to claim 1, wherein the control unit calculates the amount of hydrogen stored in the hydrogen storage alloy storage container using the estimated load, and controls the output of a notification signal when the calculated amount of hydrogen stored is lower than a preset reference amount. Claim 6 delete Claim 7 A load estimation method performed by a load estimation device for estimating the load of a hydrogen storage alloy storage container included in a hydrogen fuel cell-based mobility, comprising: a step of measuring vibration-related acceleration transmitted to a lower pad made of an elastic material installed at the bottom of the hydrogen storage alloy storage container according to the weight of the hydrogen storage alloy storage container and the driving of the mobility; a step of deriving compression vibration characteristic data, which is a vibration characteristic generated by being pressed by the load of the lower pad based on the measured acceleration; and a step of estimating the load of the hydrogen storage alloy storage container using the deriving compression vibration characteristic data; wherein the lower pad is installed at least one at each lower corner of the hydrogen storage alloy storage container, and its shape changes as the amount of compression is adjusted according to the load, and the estimation step is characterized by matching the previously stored reference data related to the compression vibration characteristic of the lower pad with the deriving compression vibration characteristic data, and estimating the load corresponding to the matched reference data as the load of the hydrogen storage alloy storage container.

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