KR102392553B1 - An apparatus of simulation for fuel consumption using lithium battery based on medical scooter and electro-wheelchair - Google Patents

Abstract

The present invention relates to a driving fuel efficiency simulation apparatus applied to a medical scooter and electric wheelchair based on a lithium battery, more specifically, comprising: a control module which calculates a power performance, loss rate, and battery power state of a device according to a driving velocity, a velocity during a driving cycle, an angle of inclination, a friction coefficient of a road environment, and surrounding environment values, and controls detailed actions to display a battery state of charge (SOC), drivable distance, battery state of health (SOH), or a drivable distance to a next charging station; an input module which receives the driving velocity or averaged driving velocity, transmits road information to calculate necessary torque and RPM according to the friction coefficient, or detects driving environment for modeling of the mounted lithium ion battery according to temperature; a driving module which receives signals detected and inputted by the input module, calculates the driving performance, calculates loss of a gear, bearing, and power, and measures open circuit voltage (OCV), heating value, and frequency of use of the battery; and an output module which calculates the battery state of capacity (SOC), drivable distance, SOH, and remaining distance to the charging station based on the open circuit voltage (OCV), heating value, and frequency of use of the battery measured from the driving module, and displays the same to the corresponding driving device. The driving efficiency simulation apparatus of the present invention secures stable operation of an auxiliary device, improves efficiency of the auxiliary device, and extends a battery life.

Description

An apparatus of simulation for fuel consumption using lithium battery based on medical scooter and electro-wheelchair}

The present invention relates to a driving fuel efficiency simulation device applied to a lithium battery-based medical scooter and an electric wheelchair, and more particularly, a lithium-ion battery pack design for a mobility aid device such as a medical scooter and an electric wheelchair equipped with a lithium-ion battery In consideration of driving environment such as city driving speed, average speed of driving cycle, inclination angle, torque and RPM according to road friction coefficient, and driving temperature, the remaining battery capacity (SOC) of the relevant auxiliary device, driving range, battery life, and charging station It relates to a driving fuel economy simulation device applied to a lithium battery-based medical scooter and an electric wheelchair that can display or derive the possible distance, etc. in the form of a driving graph.

In addition, the present invention provides a driving cycle and speed, inclination angle, road friction coefficient, temperature, etc., of an auxiliary device equipped with a lithium ion battery, driving environment, wind direction/wind speed input signal, torque and RPM calculation according to power performance, bearing OCV (open voltage), calorific value, and frequency of use by measuring the battery in the auxiliary device by calculating the loss of auxiliary devices in consideration of , gear, tires, etc. It relates to a driving fuel economy simulation device applied to lithium battery-based medical scooters and electric wheelchairs that secures stable operation of assistive devices by simulating the remaining distance to

In general, a transport vehicle is widely used as a means for transporting various articles and heavy goods. Electric vehicles are driven by electric power by mounting batteries, motors, controllers, mechanical devices, and control devices on existing vehicles. Currently, battery-powered devices are being used in many places. In a situation where items using batteries, such as portable electronic devices such as smartphones and laptops, and electric vehicles that can be recharged using batteries, are being used, the performance of the battery is becoming a measure of the performance of the entire device.

On the other hand, lithium-ion batteries are used in various elements such as electric wheelchairs, electric bicycles, and electric scooters, and depending on the use of the device, they are charged and reused after being used collectively. It cannot be checked, and the power consumption varies depending on the temperature, wind, and atmospheric environment, and the power consumption varies depending on the road surface and the external environment.

Therefore, information on the state of the driving device is checked according to the internal components such as motor, gear, tire, wheel, etc., and the external environment such as temperature, humidity, wind strength, wind direction, etc. and technical considerations for extending battery life through stable management.

Accordingly, the present invention proposes the present invention to provide efficient management and stable operation of memory through a simulation algorithm in a battery pack of an electric drive device.

1. Fuel consumption rate measuring system for fuel cell vehicle (Patent Registration No. 10-1230897) 2. Secondary battery characteristic simulation method and electronic device supporting the same (VIRTUAL SIMULATION METHOD AND ELECTRONIC DEVICE FOR CHARACTERISTIC) (Patent Registration No. 10-1956266)

The present invention has been devised to solve the above problems, and its purpose is to provide input signals of the driving cycle and speed, inclination angle, road friction coefficient, temperature, etc., and the wind direction/wind speed of an auxiliary device equipped with a lithium ion battery. In consideration of power performance through torque and RPM calculations, bearings, gears, tires, etc., OCV (open voltage), calorific value, and frequency of use of the battery in the auxiliary device are measured by calculating the loss of the auxiliary device to determine the remaining battery capacity (SOC), This is to provide a fuel economy simulation device applied to lithium battery-based medical scooters and electric wheelchairs to ensure stable operation of assistive devices by simulating the drivable distance, battery life (SOH), and the remaining distance to the charging station.

In addition, the present invention relates to the driving speed, the average speed of the driving cycle, the inclination angle, the torque and RPM according to the road friction coefficient, and the driving when designing a lithium ion battery pack for a mobility aid device such as a medical scooter or an electric wheelchair equipped with a lithium ion battery. A lithium battery-based medical scooter capable of displaying or deducing the remaining battery capacity (SOC), drivable distance, battery life, and possible distance to a charging station in the form of a driving graph in consideration of the driving environment such as temperature, and This is to provide a driving fuel economy simulation device applied to an electric wheelchair.

In order to achieve the above object, the driving fuel efficiency simulation device applied to the lithium battery-based medical scooter and the electric wheelchair according to the embodiment of the present invention for achieving the above object is the driving speed detected, transmitted or input from the medical scooter or the electric wheelchair, and the speed during the driving cycle , slope angle, friction coefficient of road surface environment, external environment temperature, wind speed, and wind direction, calculate the power performance, loss rate, and battery operation of the device to calculate the remaining battery capacity (SOC), drivable distance, a control module for controlling detailed operations to display battery life (SOH) or the drivable distance to the next charging station; The driving speed of a medical scooter or electric wheelchair device, or the average speed for a certain period of time in the driving cycle, is input, or the required torque and RPM according to the friction coefficient are determined by detecting the inclination angle according to the driving of the driving device and the friction coefficient according to the road surface environment during driving. an input module for transmitting road surface information to be calculated or sensing a driving environment for modeling a built-in lithium-ion battery according to a temperature at which a driving mechanism is driven; Receives the signal detected and input through the input module, calculates the power performance through torque and RPM calculation in consideration of the motor state, gear ratio, and tire/wheel value of the driving mechanism, and the bearing state, gear state, and tire of the driving mechanism It calculates the loss of gear, bearing, and power according to the calculated power in consideration of the state and power state, and based on the calculated loss, lithium-ion cell information, battery pack information, a driving module for measuring the frequency of use; And, based on the open-circuit voltage (OCV) measured through the drive module, the amount of heat generated and the frequency of use, the remaining amount of the battery (SOC), the drivable distance, the SOH (battery life), and the remaining distance to the charging station are calculated and sent to the corresponding drive mechanism. In the driving fuel efficiency simulation device applied to a lithium battery-based medical scooter and an electric wheelchair configured to include an output module to display, the output module includes bearings, gears, tire information, electric power and When the loss values of gear loss, bearing loss, LED, headlamp power loss, wire controller, etc. calculated by the loss calculation unit based on the mechanical loss value due to the electrical component efficiency and gear/bearing loss are transmitted through the transmission unit, the transmitted Based on the information, the remaining battery capacity (SOC), drivable distance, SOH (battery life), and distance to charging stations are calculated and displayed.

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In addition, the driving module of the driving fuel efficiency simulation device applied to the lithium battery-based medical scooter and the electric wheelchair according to the embodiment of the present invention is the driving speed or driving cycle of the medical scooter or electric wheelchair device transmitted from the input module for a certain period of time. The average speed, the inclination angle according to the driving of the driving mechanism, the friction coefficient by the road surface environment during driving, and the corresponding friction coefficient, information detected according to the driving temperature of the driving device, and the wind speed, wind direction, and climate sensing values according to driving are received. Receiver provided by performance, loss calculation and battery measurement, the driving cycle/speed, inclination angle, road friction coefficient, driving environment temperature, and wind direction/speed of the medical scooter or electric wheelchair device received through the receiver and the motor , gear ratio, a calculation unit that calculates and transmits torque and RPM values to the power performance unit based on the parameter values of the tire/wheel, and calculates the performance of the corresponding medical scooter or electric wheelchair based on the torque and RPM values transmitted through the calculation unit The power performance unit calculates the current and voltage values consumed based on the calculated values transmitted from the power performance unit and the values of bearings, gears, tires, and other power sources for each driving mechanism and transmits the information to the battery measurement unit for battery performance measurement. The storage unit in which the necessary parameter values are stored, the gear loss calculation, the bearing loss calculation, the power loss calculation of LEDs, headlamps, and the wire controller based on the values stored in the storage unit to calculate each loss value Based on the loss calculator and the output value calculated through the loss calculator, the simulator is driven based on the cell specification and the fax specification to determine the open-circuit voltage (OCV), the amount of heat generated and the remaining battery capacity (SOC) according to the frequency of use, and the drivable distance. , SOH (battery life), characterized in that it is configured to further include a battery measuring unit for calculating the remaining distance to the charging station.

The driving fuel efficiency simulation device applied to the lithium battery-based medical scooter and electric wheelchair according to the present invention is the driving environment, wind direction/ According to the input signal of wind speed, the power performance through torque and RPM calculations, bearings, gears, tires, etc., are taken into account, and the battery in the auxiliary device measures the OCV (open voltage), heat output, and frequency of use by calculating the loss of the auxiliary device. By simulating the remaining amount (SOC), drivable distance, battery life (SOH), and remaining distance to the charging station, it ensures stable operation of auxiliary equipment and provides the effect of improving the efficiency of auxiliary equipment and extending the battery life.

In addition, the driving fuel efficiency simulation device applied to a lithium battery-based medical scooter and electric wheelchair according to the present invention is a lithium-ion battery-equipped medical scooter, an electric wheelchair, etc. In consideration of the driving environment such as the average speed of the driving cycle, the inclination angle, the torque and RPM according to the friction coefficient of the road surface, and the driving temperature, the remaining battery capacity (SOC) of the auxiliary device, the drivable distance, the battery life, the possible distance to the charging station, etc. It can be displayed in the form of a driving graph to draw the user's attention and promote the convenience of using a medical scooter and an electric wheelchair.

1 is a configuration diagram of a driving fuel economy simulation device applied to a lithium battery-based medical scooter and an electric wheelchair according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a driving fuel efficiency simulation device applied to a lithium battery-based medical scooter and an electric wheelchair according to FIG. 1; FIG.
3 is a block diagram illustrating an internal configuration of the driving module of FIG. 1;
4 is a conceptual diagram showing the operating state of the power performance unit of the driving module of the present invention;
5 is a conceptual diagram showing the operating state of the loss calculating unit of the driving module of the present invention;
6 is a conceptual diagram illustrating an operating state of the battery measuring unit of the driving module of the present invention;
7 is an exemplary view showing the state of the driving graph derived from the output module according to the simulation operation of the present invention;

Hereinafter, a detailed description of a preferred embodiment of the present invention will be described with reference to the accompanying drawings. In the following description of the present invention, if it is determined that a detailed description of a related well-known function or configuration may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted.

1 is an internal cross-sectional view of a driving fuel efficiency simulation device applied to a lithium battery-based medical scooter and an electric wheelchair of the present invention, and FIG. 2 is a lithium battery-based medical scooter and electric wheelchair driving fuel efficiency according to FIG. As a schematic diagram of a simulation device, the fuel efficiency simulation device for a medical scooter and an electric wheelchair according to the present invention is largely a control module 100 , an input module 200 , a drive module 300 , and an output module 400 . ) is composed of

Hereinafter, the detailed operation of the driving fuel efficiency simulation apparatus applied to the lithium battery-based medical scooter and the electric wheelchair according to the present invention will be described with reference to the accompanying FIGS. 1 and 2 . First, the control module 100 is a medical scooter or electric Depending on the driving speed detected, transmitted or input from the wheelchair, the speed during the driving cycle, the inclination angle, the friction coefficient of the road surface environment, the temperature according to the external environment, the wind speed, and the surrounding environment value of the wind direction, the power performance of the device, the loss rate, and whether the battery is operated The detailed operation of the simulation device is controlled so that the remaining battery capacity (SOC), drivable distance, battery life (SOH), or drivable distance to the next charging station is displayed by calculating .

The input module 200 is an environmental input value necessary for driving the simulation device, and is divided into five elements such as driving cycle/speed, inclination angle, road surface, driving environment and external environment, and is input by the user or a state according to device driving The information is sensed and a detection signal is transmitted.

More specifically, the input module 200 is the driving speed of the medical scooter or the electric wheelchair device or the average speed for a certain period of time in the driving cycle, or the inclination angle according to the driving of the driving device, and the friction coefficient by the road surface environment during driving. to transmit road surface information to calculate the required torque and RPM according to the friction coefficient, or to detect the driving environment for modeling the built-in lithium-ion battery according to the temperature at which the driving mechanism is driven, or to detect the wind speed, wind direction, and climate according to driving. The value of is detected and used for power performance calculation.

The driving module 300 calculates power performance by calculating torque and RPM in consideration of the motor state, gear ratio, and tire/wheel value of the driving mechanism by receiving a signal detected and inputted through the input module 200, Calculate the loss of gear, bearing, and power according to the calculated power considering the bearing condition of the drive mechanism, gear condition, tire condition, and power condition, and based on the calculated loss based on lithium ion cell information and battery pack information Measure the open circuit voltage (OCV), calorific value and frequency of use of the battery.

The output module 400 is based on the open voltage (OCV), the amount of heat and the frequency of use measured through the driving module 300, the remaining amount of the battery (SOC), the drivable distance, the SOH (battery life), up to the charging station. Calculate the remaining distance and display it on the corresponding drive mechanism.

More specifically, the output module 400 calculates the loss based on the bearing, gear, and tire information stored in the storage unit 350 of the driving module 300 , the power and electronic component efficiency, and the mechanical loss value according to the gear/bearing loss. When the gear loss, bearing loss, power loss of LED, headlamp, wire controller, etc., calculated by the unit 360, are transmitted through the transmission unit 380, the remaining amount of the battery (SOC) based on the transmitted information , drivable distance, SOH (battery life), and distance to charging station are calculated and displayed.

3 is a block diagram showing a detailed configuration of a driving module 300 of a driving fuel efficiency simulation device for a medical scooter and an electric wheelchair based on a lithium battery according to an embodiment of the present invention, wherein the driving module 300 includes a microcomputer 310 ), a receiving unit 320 , a calculating unit 330 , a power performance unit 340 , a storage unit 350 , a loss calculating unit 360 , a battery measuring unit 370 , and a transmitting unit 380 .

Hereinafter, looking at the detailed configuration and operation of the driving fuel efficiency simulation device for a lithium battery-based medical scooter and electric wheelchair based on the driving module 300 according to the present invention with reference to the accompanying FIGS. 1 to 6, first, the microcomputer ( 310) is based on the signal input through the input module 200, power performance, the bearing state of the driving mechanism, Loss of gear, bearing, and power according to the calculated power considering the gear condition, tire condition, and power condition, lithium ion cell information based on the calculated loss, and battery open circuit voltage (OCV: Open Circuit) based on battery pack information Voltage), the overall operation of the driving module 300 is controlled in order to measure the amount of heat generated and the frequency of use.

The receiving unit 320 responds to the control signal of the microcomputer 310 to the driving speed of the medical scooter or the electric wheelchair device transmitted from the input module 200, or the average speed for a certain period of time in the driving cycle, and to the driving of the driving device. Power performance, loss calculation and battery measurement are performed by receiving the corresponding friction coefficient, information detected according to the driving temperature of the driving device, and the wind speed, wind direction, and climate according to driving by sensing the friction coefficient according to the inclination angle and the road surface environment during driving. to be provided

The calculation unit 330 responds to the control signal of the microcomputer 310 according to the input value of the medical scooter or electric wheelchair device transmitted through the receiving unit 320. Based on the parameter values of the motor, gear ratio, and tire/wheel Calculate the torque and RPM values to calculate the power state of the corresponding drive mechanism.

More specifically, the calculation unit 330 receives the driving cycle/speed, inclination angle, road friction coefficient, driving environment temperature, wind direction/wind speed, and external environmental input values received through the receiving unit 320, motor, gear ratio, and tire/wheel Torque and RPM values are calculated based on the parameter values and transmitted to the power performance unit 340 .

The power performance unit 340 calculates the performance of the corresponding medical scooter or electric wheelchair based on the torque and RPM values transmitted through the calculation unit 330 according to the control signal of the microcomputer 310 .

In more detail, the power performance unit 340 changes the corresponding parameter value according to the driving device to a parameter value required for deriving a motor performance curve according to the motor specification and a unique value of the motor mounted on the driving mechanism, and the driving mechanism With the gear ratio specification of the powertrain of By changing the drive mechanism value to the parameter values required for deriving the motor performance curve and the inherent value of the drive mechanism with It operates to derive the curve and input the derived T-N curve to the power calculation routine to calculate current, voltage, torque, and RPM, and transmit the calculated values to the loss calculator 360 .

The storage unit 350 calculates the current and voltage values consumed based on the calculated values transmitted from the power performance unit 340 and the values of bearings, gears, tires, and other power sources for each driving mechanism to measure the battery performance to measure the battery performance. The necessary parameter values are stored so that the corresponding information is transmitted to the unit 370 .

More specifically, the storage unit 350 stores bearings, gears, tires, and other power values. Based on the bearing specifications included in the rotating parts, the loss due to bearing is calculated and applied to the machine loss routine to reflect the loss. The specification is stored, the loss due to gear is calculated based on the type and specification of the gear, and the gear specification is saved so that it is reflected in the loss by substituting it in the machine loss routine, and the loss due to wheel/tire is calculated based on the tire specification By substituting it into the machine loss routine, the tire size is stored to reflect the loss, and the efficiency of other electronic components such as the controller and the loss due to the wire are reflected, and the controller and power standard to reflect the loss consumed during the operation of the electric equipment such as the headlight or LED. this is saved

On the other hand, through the bearing, gear, tire, and power standards stored in the storage unit 350, the mechanical loss routine of the gear loss subroutine, the bearing loss subroutine, and other power loss subroutines, and the electrical equipment loss subroutine in the loss calculation unit 360 are electrically A loss routine is collected to calculate consumed current and voltage values, and then transmitted to the battery measuring unit 370 .

The loss calculation unit 360 is based on the value stored in the storage unit 350 according to the control signal of the microcomputer 310, gear loss calculation, bearing loss calculation, power loss calculation of LED, headlamp, wire controller, etc. Calculate each loss by calculating the loss of electrical equipment.

That is, the loss calculation unit 360 includes the mechanical loss routine of the gear loss subroutine and the bearing loss subroutine and the subroutine of the LED, headlamp, wire, and controller based on the bearing, gear, tire, and power specifications stored in the storage unit 350 . Collects the electrical loss routine of the electrical loss subroutine of , calculates the loss based on the current and voltage consumed, calculates each loss value, and transmits the calculated loss value to the battery measuring unit 370 .

The battery measuring unit 370 operates a simulator based on a cell specification and a pack specification based on the output value calculated through the loss calculation unit 360 in response to the control signal of the microcomputer 310 to operate the open circuit voltage (OCV). ), calorific value and frequency of use, the remaining battery capacity (SOC), drivable distance, SOH (battery life), and remaining distance to the charging station are calculated.

The transmission unit 380 transmits the remaining amount (SOC), drivable distance, SOH (battery life), and remaining distance to the charging station calculated through the battery measuring unit 370 to the control signal of the microcomputer 310 . Accordingly, it is transmitted to the output module 400 to be displayed.

As described above, preferred embodiments of the present invention have been disclosed in the present specification and drawings, and although specific terms are used, these are only used in a general sense to easily explain the technical content of the present invention and help the understanding of the present invention. , it is not intended to limit the scope of the present invention. It will be apparent to those of ordinary skill in the art to which the present invention pertains that other modifications based on the technical spirit of the present invention can be implemented in addition to the embodiments disclosed herein.

100: control module
200: input module
300: drive module
310: microcomputer 320: receiver
330: calculation unit 340: power performance unit
350: storage unit 360: loss calculation unit
370: battery measurement unit 380: transmission unit
400: output module

Claims (4)

The power performance and loss rate of the device according to the driving speed detected, transmitted or input from the medical scooter or electric wheelchair, the speed during the driving cycle, the inclination angle, the friction coefficient of the road surface environment, the temperature according to the external environment, the wind speed, and the surrounding environment value , a control module 100 for controlling detailed operations so that the remaining battery capacity (SOC), drivable distance, battery life (SOH) or drivable distance to the next charging station are displayed by calculating whether or not the battery is driven; The driving speed of the medical scooter or electric wheelchair device, or the average speed for a certain period of time in the driving cycle, is input, or the required torque and RPM according to the friction coefficient are detected by the inclination angle according to the driving of the driving device and the friction coefficient by the road surface environment during driving. an input module 200 for transmitting road surface information to be calculated or for sensing a driving environment for modeling a built-in lithium-ion battery according to a temperature at which the driving mechanism is driven; Receives the signal detected and inputted through the input module 200 to calculate the power performance by calculating torque and RPM in consideration of the motor state, gear ratio, and tire/wheel value of the driving mechanism, bearing state of the driving mechanism, gear The loss of gear, bearing, and power is calculated based on the calculated power considering the condition, tire condition, and power condition, and the battery’s open-circuit voltage (OCV: Open Circuit Voltage), a driving module 300 for measuring the amount of heat and frequency of use; And based on the open-circuit voltage (OCV), calorific value, and frequency of use measured through the driving module 300, the remaining amount of the battery (SOC), the drivable distance, the SOH (battery life), and the remaining distance to the charging station are calculated and the corresponding In the driving fuel economy simulation device applied to a lithium battery-based medical scooter and electric wheelchair comprising; an output module 400 to be displayed on the driving mechanism,
The output module 400 is a loss calculator 360 based on the bearing, gear, and tire information stored in the storage unit 350 of the driving module 300 , power and electrical equipment efficiency, and the mechanical loss value according to the gear/bearing loss. ) calculated in gear loss, bearing loss, power loss of LED, headlight, and loss of electrical equipment such as wire controller are transmitted through the transmission unit 380, the remaining battery capacity (SOC) and driving possible based on the transmitted information Driving fuel efficiency simulation device applied to lithium battery-based medical scooters and electric wheelchairs, which calculates and displays distance, SOH (battery life), and distance to a charging station
delete The method of claim 1,
The driving module 300 is
Based on the signal input through the input module 200, the power performance, the bearing state of the driving mechanism, the gear state, Loss of gear, bearings, and power according to the power calculated considering the tire condition and power condition, lithium-ion cell information based on the calculated loss, and battery open-circuit voltage (OCV), calorific value and frequency of use based on the battery pack information A microcomputer 310 that controls the overall operation of the driving module 300 to measure
The driving speed of the medical scooter or the electric wheelchair device transmitted from the input module 200 in response to the control signal of the microcomputer 310, or the average speed for a certain period of time in the driving cycle, the inclination angle according to the driving of the driving device, the road surface environment when driving Receiver 320 that provides power performance, loss calculation and battery measurement by receiving the friction coefficient, information detected according to the driving temperature of the driving mechanism, wind speed, wind direction, and climate according to driving by sensing the friction coefficient with ,
The driving cycle/speed, inclination angle, road friction coefficient, driving environment temperature, wind direction/wind speed of the medical scooter or electric wheelchair device received through the receiver 320 and external environmental input values of the motor, gear ratio, and tire/wheel parameter values Calculating unit 330 that calculates torque and RPM values based on and transmits them to the power performance unit 340;
A power performance unit 340 for calculating the performance of the corresponding medical scooter or electric wheelchair device based on the torque and RPM values transmitted through the calculation unit 330 according to the control signal of the microcomputer 310;
For battery performance measurement, the current and voltage values consumed based on the calculated values transmitted from the power performance unit 340 and the values of bearings, gears, tires, and other power sources for each driving mechanism are calculated and the corresponding information is sent to the battery measurement unit 370 . A storage unit 350 in which the necessary parameter values are stored to be transmitted;
Based on the value stored in the storage unit 350 according to the control signal of the microcomputer 310, the gear loss calculation, the bearing loss calculation, the power loss calculation of the LED, the headlamp, and the electrical equipment loss such as the wire controller are calculated and each loss value A loss calculator 360 for calculating , and
Based on the output value calculated through the loss calculator 360 in response to the control signal of the microcomputer 310, the simulator is driven based on the cell specification and the fax specification according to the open circuit voltage (OCV), the amount of heat generated and the frequency of use. Lithium battery-based medical scooter and electric wheelchair, characterized in that it further comprises a battery measuring unit 370 for calculating the remaining amount of the battery (SOC), the drivable distance, the SOH (battery life), and the remaining distance to the charging station Driving fuel economy simulation device applied to
4. The method of claim 3,
The power performance unit 340 changes the corresponding parameter value according to the driving device to a parameter value necessary for deriving a motor performance curve and a unique value of the motor mounted on the driving mechanism with the specification of the motor according to the motor, and the powertrain of the driving mechanism. The value of the drive mechanism is changed according to the drive mechanism with the parameter values required for deriving the motor performance curve with the gear ratio specification and the eigenvalue of the gear mounted on the drive mechanism. The TN curve is derived by calculating torque, rpm, power, etc. through the power performance routine (subroutine: torque calculation, motor performance curve, RPM calculation) by changing the drive mechanism value with the parameter values required for derivation and the unique value of the drive mechanism. Inputs the derived TN curve to the power calculation routine to calculate current, voltage, torque, and RPM, and operates to transmit the calculated values to the loss calculation unit 360,
The storage unit 350 stores bearings, gears, tires, and other power values. Based on the bearing specifications included in the rotating parts, the loss due to bearing is calculated and the bearing specifications are stored so that the loss due to bearing is substituted into the machine loss routine and reflected in the loss. The loss due to gear is calculated based on the type and specification of the gear, and the gear specification is saved to be reflected in the loss by applying it to the machine loss routine. The tire specifications are stored to reflect the losses by substituting it in , and the controller and power specifications are stored to reflect the efficiency of other electrical components such as the controller and losses due to wires, and to reflect the losses consumed when operating the electrical components such as headlights or LEDs;
The loss calculation unit 360 includes a mechanical loss routine of a gear loss subroutine and a bearing loss subroutine based on the bearings, gears, tires, and power specifications stored in the storage unit 350, a subroutine of LEDs, headlights, wires, and electronic components of the controller. Collecting the electrical loss routine of the loss subroutine, calculating the loss based on the consumed current and voltage value, calculating each loss value, and transmitting the calculated loss value to the battery measuring unit 370 Driving fuel economy simulation device applied to lithium battery-based medical scooters and electric wheelchairs

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