Dual battery pack switching and motor load power adaptive distribution system for electric moped

CN120986270BActive Publication Date: 2026-08-21SKYLAND SPORT TECH CO LTD
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Patent Information

Application Number
CN202511511475.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-10-22
Publication Date
2026-08-21
Estimated Expiration
2045-10-22

AI Technical Summary

Technical Problem

一方面,传统电池包切换机制通常依赖于手动操作或单一触发条件,无法根据实际工况实时动态调整,导致系统切换过程中可能出现动力波动,影响用户的驾驶体验

Benefits of technology

[0043] The technical solution of this invention solves the problems of non-real-time switching and inaccurate allocation in traditional dual-battery pack systems by dynamically adjusting switching and power distribution through real-time detection of driving conditions and dual-battery pack status. This improves the range, stability and overall energy efficiency of electric-assisted bicycles and extends battery life.

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Abstract

The application discloses a dual-battery pack switching and motor load power adaptive distribution system for an electric moped, which comprises a working condition detection module, a battery state monitoring module, a dynamic switching control module and a power distribution module, and an execution module.The working condition detection module detects the driving working condition parameters of the electric moped.The battery state monitoring module monitors the current state parameters of the dual-battery pack.The dynamic switching control module calculates the comprehensive available capacity and output capacity of the dual-battery pack, compares the comprehensive available capacity and output capacity with preset threshold values, and generates a battery pack switching instruction according to the comparison result.The power distribution module generates a motor load power distribution instruction and determines a power output ratio according to the motor load power demand and output capacity based on the driving working condition parameters and current state parameters.The execution module controls the switching operation of the dual-battery pack according to the battery pack switching instruction, and adjusts the motor load power distribution according to the motor load power distribution instruction and the power output ratio.The application improves the endurance, stability and overall energy efficiency of the electric moped, and prolongs the service life of the battery.
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Description

Technical Field

[0001] This invention relates to the field of battery energy management technology, and in particular to a dual-battery pack switching and motor load power adaptive distribution system for electric bicycles. Background Technology

[0002] Existing technologies for dual-battery pack systems in electric-assisted bicycles have several limitations in energy management. Firstly, traditional battery pack switching mechanisms typically rely on manual operation or a single trigger condition, failing to dynamically adjust in real-time according to actual operating conditions. This can lead to power fluctuations during system switching, impacting the user's riding experience. Secondly, in terms of load power distribution, current technologies struggle to accurately optimize the energy allocation between the two battery packs based on changes in vehicle load, road conditions, and riding demands, thereby reducing overall energy efficiency and potentially affecting battery life. These issues limit the range and stability of electric-assisted bicycles under complex driving conditions, necessitating improvements to the switching and power distribution mechanisms to enhance performance.

[0003] Therefore, there is an urgent need to provide a technical solution to address the above problems. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides a dual-battery pack switching and motor load power adaptive allocation system for electric-assisted bicycles.

[0005] In a first aspect, the present invention provides a dual-battery pack switching and motor load power adaptive allocation system for an electric-assisted bicycle, the technical solution of which is as follows:

[0006] The operating condition detection module is used to detect the driving operating condition parameters of the electric-assisted bicycle in real time. The driving operating condition parameters include vehicle speed, acceleration, road slope and motor load power requirements.

[0007] A battery status monitoring module is used to monitor the current status parameters of the dual battery pack that provides power to the electric-assisted vehicle. The current status parameters include state of charge, temperature, and internal resistance.

[0008] The dynamic switching control module is used to calculate the combined available capacity and output capability of the dual battery pack based on the driving condition parameters and the current state parameters, compare the combined available capacity with a first preset threshold, and compare the output capability with a second preset threshold, and generate a battery pack switching command based on the comparison result.

[0009] The power distribution module is used to generate a motor load power distribution instruction based on the driving condition parameters and the current state parameters, according to the motor load power demand and the output capability, and to determine the power output ratio of the dual battery packs through a power distribution algorithm.

[0010] The execution module is used to control the switching operation between the primary battery pack and the backup battery pack in the dual battery pack according to the battery pack switching instruction, and to adjust the power distribution of the dual battery pack to the motor load according to the power output ratio based on the motor load power distribution instruction.

[0011] In one alternative approach, the operating condition detection module is specifically used for:

[0012] The vehicle speed is obtained by a wheel speed sensor installed on the electric-assisted vehicle;

[0013] The acceleration is obtained by an accelerometer installed in the electric-assisted vehicle;

[0014] The road slope is obtained by tilt sensor installed on the electric-assisted vehicle;

[0015] The motor load power requirement is obtained through the motor controller of the electric-assisted vehicle.

[0016] In one alternative embodiment, the battery state monitoring module is specifically used for:

[0017] The state of charge is obtained by connecting the battery management chip of the dual battery pack;

[0018] The temperature is measured by a temperature sensor located inside the dual battery pack;

[0019] The internal resistance is calculated based on the voltage and current fluctuations of the dual battery pack.

[0020] In one alternative approach, the dynamic switching control module is specifically used for:

[0021] Based on the motor load power requirement, the state of charge, and the temperature, the overall usable capacity of the dual battery pack is calculated using a temperature compensation algorithm.

[0022] Based on the internal resistance, the road surface slope, and the acceleration, the output capacity of the dual battery pack is calculated using a power capability algorithm.

[0023] In one alternative approach, the dynamic switching control module is specifically used for:

[0024] A first switching condition is triggered when the total available capacity is lower than the first preset threshold, and a second switching condition is triggered when the output capacity is lower than the second preset threshold;

[0025] When either the first switching condition or the second switching condition is met, a battery pack switching instruction is generated to switch from the primary battery pack to the backup battery pack.

[0026] When neither the first switching condition nor the second switching condition is met, the current operating state of the main battery pack is maintained.

[0027] In one alternative approach, the power distribution module is specifically used for:

[0028] Based on the motor load power requirement, the state of charge and the internal resistance, and in conjunction with the output capability, the power output ratio of the dual battery pack is calculated using the power allocation algorithm, and the motor load power allocation command is generated according to the power output ratio.

[0029] In one alternative approach, the power distribution module is specifically used for:

[0030] The power distribution algorithm calculates the power output ratio of the dual battery pack based on the motor load power demand, the state of charge, and the internal resistance, combined with the output capability.

[0031] The formula for calculating the power output ratio is as follows:

[0032]

[0033] In the formula, This indicates the power output ratio of the main battery pack. This indicates the power output ratio of the backup battery pack. This indicates the state of charge of the main battery pack. This indicates the state of charge of the backup battery pack. This indicates the internal resistance of the main battery pack. This indicates the internal resistance of the backup battery pack. This indicates the output capacity of the main battery pack. This indicates the output capacity of the backup battery pack. This indicates the motor load power requirement.

[0034] In one alternative approach, the power distribution module is specifically used for:

[0035] Based on the power output ratio of the main battery pack and the power demand of the motor load, the allocated power value of the main battery pack is calculated; wherein, the formula for calculating the allocated power value of the main battery pack is: ; This indicates the allocated power value of the main battery pack;

[0036] Based on the power output ratio of the backup battery pack and the power demand of the motor load, the allocated power value of the backup battery pack is calculated; wherein, the formula for calculating the allocated power value of the backup battery pack is: ; This indicates the allocated power value of the backup battery pack;

[0037] The motor load power allocation command is generated based on the allocated power value of the primary battery pack and the allocated power value of the backup battery pack.

[0038] In an alternative embodiment, the execution module is specifically used for:

[0039] Upon receiving the battery pack switching command, the system controls the relay of the primary battery pack to disconnect and simultaneously controls the relay of the backup battery pack to close, thus completing the switching operation from the primary battery pack to the backup battery pack.

[0040] When the battery pack switching command requires maintaining the current state, the relay of the primary battery pack remains closed and the relay of the backup battery pack remains open.

[0041] In an alternative embodiment, the execution module is specifically used for:

[0042] Based on the power allocation values ​​of the main battery pack and the backup battery pack in the motor load power allocation command, the main battery pack is controlled to output its power allocation value, and the backup battery pack is controlled to output its power allocation value.

[0043] The technical solution of this invention solves the problems of non-real-time switching and inaccurate allocation in traditional dual-battery pack systems by dynamically adjusting switching and power distribution through real-time detection of driving conditions and dual-battery pack status. This improves the range, stability and overall energy efficiency of electric-assisted bicycles and extends battery life.

[0044] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0045] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0046] The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0047] Figure 1 This is a schematic diagram of an embodiment of the electric-assisted bicycle dual-battery pack switching and motor load power adaptive allocation system of the present invention. Detailed Implementation

[0048] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be implemented in various forms and should not be limited to the embodiments set forth herein.

[0049] Figure 1 This diagram illustrates a structural schematic of an embodiment of an electric-assisted bicycle dual-battery pack switching and motor load power adaptive allocation system provided by the present invention. Figure 1 As shown, the system includes:

[0050] The operating condition detection module 110 is used to detect the driving operating condition parameters of the electric-assisted vehicle in real time, including vehicle speed, acceleration, road slope and motor load power requirements.

[0051] Here, "electric-assisted bicycle" refers to a human-powered bicycle equipped with an electric motor for auxiliary drive, powered by a battery; for example, a bicycle that uses a motor to assist in climbing a hill. Operating parameters refer to the set of physical quantities describing the operating state of the electric-assisted bicycle. Vehicle speed refers to the instantaneous speed of the electric-assisted bicycle; for example, maintaining a speed of 15 kilometers per hour while climbing a hill. Acceleration refers to the rate of change of speed of the electric-assisted bicycle; for example, the acceleration required for the bicycle to accelerate from 10 kilometers per hour to 15 kilometers per hour while climbing a hill. Road gradient refers to the angle of inclination of the road surface; for example, the road surface forms a 10-degree angle with the horizontal plane while climbing a hill. Motor load power requirement refers to the power required by the electric-assisted bicycle motor to meet the driving needs; for example, the motor requires 500 watts of power output when climbing a hill.

[0052] The battery status monitoring module 120 is used to monitor the current status parameters of the dual battery pack that provides power to the electric-assisted vehicle. The current status parameters include the state of charge, temperature, and internal resistance.

[0053] Dual battery packs refer to two independent battery packs that power an electric-assisted bicycle; for example, a bicycle equipped with a primary and a backup lithium-ion battery pack. Current state parameters refer to the real-time operating status of the dual battery packs. State of charge (SBC) refers to the percentage of remaining charge in the battery pack; for example, the primary battery pack has a SBC of 60% when climbing a hill. Temperature refers to the degree of heat inside or on the surface of the battery pack; for example, the battery pack temperature rises to 40 degrees Celsius when climbing a hill. Internal resistance refers to the resistance to current flow within the battery pack; for example, the internal resistance of the battery pack is 0.1 ohms when climbing a hill.

[0054] The dynamic switching control module 130 is used to calculate the comprehensive available capacity and output capability of the dual battery pack based on the driving condition parameters and the current state parameters, compare the comprehensive available capacity with a first preset threshold, and compare the output capability with a second preset threshold, and generate a battery pack switching command based on the comparison results.

[0055] The overall available capacity refers to the actual usable power of the battery pack after considering temperature compensation; for example, the available capacity of the primary battery pack calculated by the temperature compensation algorithm during hill climbing is 5 amp-hours. Output capacity refers to the maximum power the battery pack can provide under specific operating conditions; for example, the output capacity of the battery pack calculated by the power capacity algorithm during hill climbing is 800 watts. The first preset threshold refers to the critical value of the overall available capacity used to trigger battery pack switching; for example, setting the overall available capacity threshold to 3 amp-hours. The second preset threshold refers to the critical value of the output capacity used to trigger battery pack switching; for example, setting the output capacity threshold to 600 watts. The comparison result refers to the conclusion after comparing the overall available capacity and output capacity with the preset thresholds; for example, during hill climbing, the overall available capacity is lower than the first preset threshold and the output capacity is lower than the second preset threshold. The battery pack switching command refers to the command signal that controls the switching between the two battery packs; for example, the command to switch from the primary battery pack to the backup battery pack.

[0056] The power distribution module 140 is used to generate a motor load power distribution instruction based on the driving condition parameters and the current state parameters, according to the motor load power demand and the output capability, and to determine the power output ratio of the dual battery pack.

[0057] The power allocation algorithm refers to the mathematical method used to calculate the power output ratio of the two battery packs; for example, an algorithm based on the formula for calculating the ratio using the state of charge and internal resistance. The motor load power allocation command is a command specifying the power values ​​allocated between the two battery packs; for example, a command allocating 300 watts to the primary battery pack and 200 watts to the backup battery pack. The power output ratio refers to the ratio of power allocated between the two battery packs; for example, a power output ratio of 3:2 between the primary and backup battery packs.

[0058] The execution module 150 is used to control the switching operation between the primary battery pack and the backup battery pack in the dual battery pack according to the battery pack switching instruction, and to adjust the power distribution of the dual battery pack to the motor load according to the power output ratio based on the motor load power distribution instruction.

[0059] The primary battery pack refers to the battery pack that currently provides the main power for the electric-assisted bicycle; for example, the lithium-ion battery pack initially used when climbing a hill. The backup battery pack refers to the battery pack that is switched on when the primary battery pack is unavailable; for example, the backup lithium-ion battery pack used when climbing a hill. The switching operation refers to the action of controlling the change in the connection state between the primary and backup battery packs; for example, disconnecting the primary battery pack relay and closing the backup battery pack relay.

[0060] The technical solution of this embodiment solves the problems of non-real-time switching and inaccurate allocation in traditional dual-battery pack systems by dynamically adjusting the switching and power distribution by real-time detection of driving conditions and dual battery pack status. This improves the range, stability and overall energy efficiency of electric-assisted bicycles and extends battery life.

[0061] In one alternative embodiment, the operating condition detection module 110 is specifically used for:

[0062] The vehicle speed is obtained by a wheel speed sensor installed on the electric-assisted vehicle.

[0063] Among them, wheel speed sensor refers to a device that detects the wheel speed of electric power steering wheels; for example, a magnetic induction sensor installed on the wheel.

[0064] The acceleration is obtained by an accelerometer installed on the electric-assisted vehicle.

[0065] An accelerometer is a device that measures the acceleration of an electric bicycle; for example, a triaxial accelerometer based on MEMS technology.

[0066] The road slope is obtained by tilt sensor installed on the electric-assisted vehicle.

[0067] Among them, tilt sensor refers to a device for detecting road slope; for example, a tilt sensor that uses the principle of gyroscope.

[0068] The motor load power requirement is obtained through the motor controller of the electric-assisted vehicle.

[0069] Among them, a motor controller refers to an electronic device that manages the power output of a motor; for example, a motor controller that integrates a PID control algorithm.

[0070] Among the above-mentioned optional methods, the system can further acquire vehicle speed, acceleration, road slope and motor load power requirements in real time through sensors, so as to enable the system to have real-time and comprehensive working condition perception capabilities and improve the level of intelligence.

[0071] In an alternative embodiment, the battery state monitoring module 120 is specifically used for:

[0072] The state of charge is obtained by connecting the battery management chip of the dual battery pack.

[0073] Among them, battery management chips refer to integrated circuits that monitor the status of battery packs; for example, BMS chips used to collect state of charge data.

[0074] The temperature is measured by a temperature sensor located inside the dual battery pack.

[0075] Temperature sensors refer to devices that measure the temperature of a battery pack; for example, thermocouples attached to a battery pack.

[0076] The internal resistance is calculated based on the voltage and current fluctuations of the dual battery pack.

[0077] Voltage and current fluctuations refer to the changes in voltage and current when the battery pack is working; for example, when climbing a hill, the battery pack voltage drops from 48 volts to 46 volts and the current rises from 10 amps to 12 amps.

[0078] In the above-mentioned optional methods, the state of charge, temperature and internal resistance of the dual battery pack are further monitored through battery management chips and sensors to provide real-time data support for subsequent dynamic switching and power distribution.

[0079] In an alternative embodiment, the dynamic switching control module 130 is specifically used for:

[0080] Based on the motor load power requirement, the state of charge, and the temperature, the overall usable capacity of the dual battery pack is calculated using a temperature compensation algorithm.

[0081] Among them, the temperature compensation algorithm refers to the mathematical method for adjusting the battery capacity calculation based on temperature; for example, using a linear compensation formula to calculate the overall usable capacity.

[0082] Based on the internal resistance, the road surface slope, and the acceleration, the output capacity of the dual battery pack is calculated using a power capability algorithm.

[0083] Among them, the power capability algorithm refers to a mathematical method for calculating the output capability based on internal resistance and operating conditions; for example, calculating the maximum output power by combining internal resistance and slope.

[0084] Among the above-mentioned optional methods, the combined available capacity and output capacity of the dual battery packs are further dynamically calculated based on temperature compensation algorithms and power capability algorithms to improve the accuracy of switching decisions.

[0085] In an alternative embodiment, the dynamic switching control module 130 is specifically used for:

[0086] A first switching condition is triggered when the total available capacity is lower than the first preset threshold, and a second switching condition is triggered when the output capacity is lower than the second preset threshold.

[0087] The first switching condition refers to the state where the overall available capacity is lower than a first preset threshold; for example, the first switching condition is triggered when the overall available capacity drops to 2.5 amp-hours. The second switching condition refers to the state where the output capability is lower than a second preset threshold; for example, the second switching condition is triggered when the output capability drops to 550 watts.

[0088] When either the first switching condition or the second switching condition is met, a battery pack switching command is generated to switch from the primary battery pack to the backup battery pack.

[0089] When neither the first switching condition nor the second switching condition is met, the current operating state of the main battery pack is maintained.

[0090] The current operating status refers to the current connection and power supply status of the main battery pack; for example, the main battery pack relay is closed and is outputting power.

[0091] In the above-mentioned optional methods, a trigger condition mechanism is further used to automatically switch the battery pack when the overall available capacity or output capability is lower than a preset threshold, so as to ensure the stability of the system under complex operating conditions.

[0092] In an alternative embodiment, the power distribution module 140 is specifically used for:

[0093] Based on the motor load power requirement, the state of charge and the internal resistance, and in conjunction with the output capability, the power output ratio of the dual battery pack is calculated using the power allocation algorithm, and the motor load power allocation command is generated according to the power output ratio.

[0094] In the above-mentioned optional methods, the power allocation ratio of the dual battery packs is further optimized dynamically based on the state of charge, internal resistance, and output capability through a power allocation algorithm, thereby improving the overall energy efficiency.

[0095] In an alternative embodiment, the power distribution module 140 is specifically used for:

[0096] The power distribution algorithm calculates the power output ratio of the dual battery pack based on the motor load power demand, the state of charge, and the internal resistance, combined with the output capability.

[0097] The formula for calculating the power output ratio is as follows:

[0098]

[0099] In the formula, This indicates the power output ratio of the main battery pack. This indicates the power output ratio of the backup battery pack. This indicates the state of charge of the main battery pack. This indicates the state of charge of the backup battery pack. This indicates the internal resistance of the main battery pack. This indicates the internal resistance of the backup battery pack. This indicates the output capacity of the main battery pack. This indicates the output capacity of the backup battery pack. This indicates the motor load power requirement.

[0100] In the above-mentioned optional methods, the power output ratio calculation logic of the dual battery pack is further clarified through the power allocation formula to ensure the rationality of the allocation ratio.

[0101] In an alternative embodiment, the power distribution module 140 is specifically used for:

[0102] Based on the power output ratio of the main battery pack and the power demand of the motor load, the allocated power value of the main battery pack is calculated; wherein, the formula for calculating the allocated power value of the main battery pack is: ; This indicates the allocated power value of the main battery pack.

[0103] The power allocation value of the main battery pack refers to the power output value of the main battery pack as instructed; for example, 300 watts are output according to the power allocation instruction.

[0104] Based on the power output ratio of the backup battery pack and the power demand of the motor load, the allocated power value of the backup battery pack is calculated; wherein, the formula for calculating the allocated power value of the backup battery pack is: ; This indicates the allocated power value of the backup battery pack.

[0105] The power allocation value of the backup battery pack refers to the power output value of the backup battery pack as instructed; for example, 200 watts are output according to the power allocation instruction.

[0106] The motor load power allocation command is generated based on the allocated power value of the primary battery pack and the allocated power value of the backup battery pack.

[0107] In the above-mentioned optional methods, the power allocation between the primary and backup battery packs can be dynamically adjusted through the calculation formula of the power allocation value to ensure the high efficiency of system operation.

[0108] In an alternative embodiment, the execution module 150 is specifically used for:

[0109] Upon receiving the battery pack switching command, the system controls the relay of the primary battery pack to disconnect and simultaneously controls the relay of the backup battery pack to close, thus completing the switching operation from the primary battery pack to the backup battery pack.

[0110] Among them, a relay refers to an electromagnetic switch that controls the on / off state of the battery pack circuit; for example, a DC relay used to switch the connection between the primary and backup battery packs.

[0111] When the battery pack switching command requires maintaining the current state, the relay of the primary battery pack remains closed and the relay of the backup battery pack remains open.

[0112] In the above-mentioned optional methods, a relay control mechanism is further used to achieve rapid switching between the primary battery pack and the backup battery pack, ensuring a smooth transition of the system during the switching process.

[0113] In an alternative embodiment, the execution module 150 is specifically used for:

[0114] Based on the power allocation values ​​of the main battery pack and the backup battery pack in the motor load power allocation command, the main battery pack is controlled to output its power allocation value, and the backup battery pack is controlled to output its power allocation value.

[0115] In the above-mentioned optional methods, the power output of the dual battery packs can be dynamically adjusted according to the allocation instructions through the power control function, thereby improving the energy utilization efficiency of the system.

[0116] To better illustrate the technical solution of this embodiment, the following example is used for complete explanation:

[0117] S10. The working condition detection module 110 obtains the vehicle speed through the wheel speed sensor installed on the electric-assisted vehicle, obtains the acceleration through the accelerometer installed on the electric-assisted vehicle, obtains the road slope through the tilt sensor installed on the electric-assisted vehicle, and obtains the motor load power requirement through the motor controller of the electric-assisted vehicle.

[0118] S20. The battery status monitoring module 120 obtains the state of charge by connecting to the battery management chip of the dual battery pack, measures the temperature by a temperature sensor set inside the dual battery pack, and calculates the internal resistance based on the voltage and current fluctuations of the dual battery pack.

[0119] S30. The dynamic switching control module 130 calculates the comprehensive available capacity of the dual battery pack based on the motor load power demand, the state of charge and the temperature through a temperature compensation algorithm. At the same time, it calculates the output capacity of the dual battery pack based on the internal resistance, the road slope and the acceleration through a power capability algorithm.

[0120] S40. The dynamic switching control module 130 compares the calculated comprehensive available capacity with a first preset threshold and the output capability with a second preset threshold. When the comprehensive available capacity is lower than the first preset threshold or the output capability is lower than the second preset threshold, a battery pack switching command is generated to switch from the primary battery pack to the backup battery pack.

[0121] S50. The power distribution module 140, based on the motor load power demand, the state of charge, and the internal resistance, and in conjunction with the output capability, calculates the power output ratio of the dual battery pack using a power distribution algorithm. The formula for calculating the power output ratio is: ;

[0122] S60. Based on the calculated power output ratio and the motor load power requirement, the power distribution module 140 further calculates the power distribution value of the main battery pack and the power distribution value of the backup battery pack. The formula for calculating the power distribution value of the main battery pack is as follows: The formula for calculating the allocated power value of the backup battery pack is as follows: And generate a motor load power allocation instruction based on the allocated power value;

[0123] S70. The execution module 150 controls the relay of the main battery pack to disconnect and the relay of the backup battery pack to close according to the battery pack switching command, thereby completing the switching operation from the main battery pack to the backup battery pack.

[0124] S80. The execution module 150 controls the main battery pack to output its corresponding main battery pack power allocation value and controls the backup battery pack to output its corresponding backup battery pack power allocation value according to the motor load power allocation instruction, thereby adjusting the power allocation of the dual battery packs to the motor load according to the power output ratio.

[0125] Furthermore, the system provided in the above embodiments is only illustrated by the division of the above functional modules when implementing its functions. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the system can be divided into different functional modules according to the actual situation to complete all or part of the functions described above.

[0126] The above description is merely a preferred embodiment of the present invention and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of disclosure in this invention is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-disclosed concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions disclosed in this invention.

[0127] It should be noted that the terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and represent a limitation on a specific order or sequence. Where appropriate, the order of use for similar objects can be interchanged so that the embodiments of this application described herein can be implemented in an order other than that shown or described.

[0128] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A dual-battery pack switching and motor load power adaptive distribution system for an electric-assisted bicycle, characterized in that, The system includes: The operating condition detection module is used to detect the driving operating condition parameters of the electric-assisted bicycle in real time. The driving operating condition parameters include vehicle speed, acceleration, road slope and motor load power requirements. A battery status monitoring module is used to monitor the current status parameters of the dual battery pack that provides power to the electric-assisted vehicle. The current status parameters include state of charge, temperature, and internal resistance. The dynamic switching control module is used to calculate the comprehensive available capacity of the dual battery pack based on the motor load power demand, the state of charge, and the temperature using a temperature compensation algorithm; and to calculate the output capacity of the dual battery pack based on the internal resistance, the road slope, and the acceleration using a power capability algorithm. When the comprehensive available capacity is lower than a first preset threshold, a first switching condition is triggered; when the output capacity is lower than a second preset threshold, a second switching condition is triggered. When either the first or second switching condition is met, a battery pack switching command is generated to switch from the primary battery pack to the backup battery pack. The power allocation module is used to calculate the power output ratio of the dual battery packs based on the motor load power demand, the state of charge, and the internal resistance, combined with the output capability, using a power allocation algorithm; calculate the allocated power value of the primary battery pack based on the power output ratio of the primary battery pack and the motor load power demand; calculate the allocated power value of the backup battery pack based on the power output ratio of the backup battery pack and the motor load power demand; and generate a motor load power allocation command based on the allocated power values ​​of the primary battery pack and the backup battery pack. The formula for calculating the power output ratio is as follows: In the formula, This indicates the power output ratio of the main battery pack. This indicates the power output ratio of the backup battery pack. This indicates the state of charge of the main battery pack. This indicates the state of charge of the backup battery pack. This indicates the internal resistance of the main battery pack. This indicates the internal resistance of the backup battery pack. This indicates the output capacity of the main battery pack. This indicates the output capacity of the backup battery pack. This indicates the motor load power requirement; The formula for calculating the allocated power value of the main battery pack is as follows: ; This represents the allocated power value of the primary battery pack; the formula for calculating the allocated power value of the backup battery pack is: ; This indicates the allocated power value of the backup battery pack; The execution module is used to control the switching operation between the primary battery pack and the backup battery pack in the dual battery pack according to the battery pack switching instruction, and to adjust the power distribution of the dual battery pack to the motor load according to the power output ratio based on the motor load power distribution instruction.

2. The dual-battery pack switching and motor load power adaptive allocation system for electric-assisted bicycles according to claim 1, characterized in that, The operating condition detection module is specifically used for: The vehicle speed is obtained by a wheel speed sensor installed on the electric-assisted vehicle; The acceleration is obtained by an accelerometer installed in the electric-assisted vehicle; The road slope is obtained by tilt sensor installed on the electric-assisted vehicle; The motor load power requirement is obtained through the motor controller of the electric-assisted vehicle.

3. The dual-battery pack switching and motor load power adaptive allocation system for electric-assisted bicycles according to claim 1, characterized in that, The battery status monitoring module is specifically used for: The state of charge is obtained by connecting the battery management chip of the dual battery pack; The temperature is measured by a temperature sensor located inside the dual battery pack; The internal resistance is calculated based on the voltage and current fluctuations of the dual battery pack.

4. The dual-battery pack switching and motor load power adaptive distribution system for electric-assisted bicycles according to claim 3, characterized in that, The dynamic switching control module is also used for: When neither the first switching condition nor the second switching condition is met, the current operating state of the main battery pack is maintained.

5. The dual-battery pack switching and motor load power adaptive allocation system for electric-assisted bicycles according to claim 1, characterized in that, The execution module is specifically used for: Upon receiving the battery pack switching command, the system controls the relay of the primary battery pack to disconnect and simultaneously controls the relay of the backup battery pack to close, thus completing the switching operation from the primary battery pack to the backup battery pack. When the battery pack switching command requires maintaining the current state, the relay of the primary battery pack remains closed and the relay of the backup battery pack remains open.

6. The dual-battery pack switching and motor load power adaptive allocation system for electric-assisted bicycles according to claim 5, characterized in that, The execution module is specifically used for: Based on the power allocation values ​​of the main battery pack and the backup battery pack in the motor load power allocation command, the main battery pack is controlled to output its power allocation value, and the backup battery pack is controlled to output its power allocation value.

Citation Information

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