Two-wheel electric vehicle multi-parameter coupling fast charging system, method, device and equipment

Abstract

This application discloses a multi-parameter coupled fast charging system, method, device, and equipment for two-wheeled electric vehicles. Through a collaborative design that determines the power range based on remaining battery capacity and adjusts the power based on ambient temperature, battery internal resistance, and individual cell voltage balance, it achieves precise dynamic adaptation of fast charging power. It controls the macro-level fast charging pace based on remaining battery capacity to ensure charging efficiency, while micro-calibrating multiple core parameters to mitigate damage risks from high ambient temperatures, battery aging, and individual cell voltage imbalance. This effectively balances fast charging speed and battery protection, adapting to different battery states and environmental scenarios, significantly improving fast charging stability and battery compatibility, effectively extending battery life, and simplifying the control logic, reducing charging pile adaptation costs. It possesses strong practical value and industrial promotion potential.

Description

Technical Field

[0001] This application relates to the field of two-wheeled vehicle charging, and in particular to a multi-parameter coupling fast charging system, method, apparatus and equipment for two-wheeled electric vehicles. Background Technology

[0002] Existing multi-parameter coupling fast charging technologies for two-wheeled electric vehicles mostly use a single parameter (such as remaining battery capacity) threshold to adjust charging power. This adjustment method lacks precision and is prone to imbalances between fast charging efficiency and battery protection: either maintaining high power in pursuit of speed leads to overheating and accelerated battery aging due to individual cell voltage imbalances; or excessively conservatively reducing power affects charging efficiency. It also struggles to adapt to different battery states and environmental scenarios, resulting in poor fast charging stability and battery compatibility. Summary of the Invention

[0003] This application aims to propose a multi-parameter coupled fast charging system, method, device, and equipment for two-wheeled electric vehicles, which can effectively balance fast charging efficiency and battery protection.

[0004] According to a first aspect embodiment of the present application, a multi-parameter coupling fast charging system for a two-wheeled electric vehicle includes: An ambient temperature sensor is used to collect the ambient temperature of the environment in which the two-wheeled vehicle is located. The battery parameter acquisition unit is used to collect information such as the remaining battery capacity, battery internal resistance, and individual cell voltage balance. The main control unit is connected to the ambient temperature sensor and the battery parameter acquisition unit. It is used to receive the ambient temperature, the remaining power, the battery internal resistance, the single-cell voltage balance, and determine the target charging power adjustment range based on the remaining power. Based on the ambient temperature, the battery internal resistance, and the single-cell voltage balance, it adjusts the real-time target charging power of the electric vehicle, and the real-time target charging power is within the target charging power adjustment range.

[0005] The multi-parameter coupling fast charging method for two-wheeled electric vehicles according to a second aspect embodiment of this application is applied to the multi-parameter coupling fast charging system for two-wheeled electric vehicles as described in the first aspect embodiment, the multi-parameter coupling fast charging method for two-wheeled electric vehicles comprising: Get the remaining battery level; The target charging power adjustment range is determined based on the remaining battery power, wherein the remaining battery power is negatively correlated with the target charging power adjustment range; The ambient temperature, the battery internal resistance, and the single-cell voltage balance are obtained. The power adjustment coefficient is determined based on the ambient temperature, the battery internal resistance, and the individual cell voltage balance; wherein the ambient temperature, the battery internal resistance, and the individual cell voltage balance are all negatively correlated with the power adjustment coefficient. The real-time target charging power is determined based on the target charging power adjustment range and the power adjustment coefficient. The charging station is controlled to charge the electric vehicle at the real-time target charging power.

[0006] A multi-parameter coupling fast charging device for a two-wheeled electric vehicle according to a third aspect of this application is applied to a multi-parameter coupling fast charging system for a two-wheeled electric vehicle as described in the first aspect embodiment. The multi-parameter coupling fast charging device for a two-wheeled electric vehicle includes: The power acquisition module is used to obtain the remaining power. The first power determination module is used to determine the target charging power adjustment range based on the remaining power, wherein the remaining power is negatively correlated with the target charging power adjustment range; A battery parameter acquisition module is used to acquire the ambient temperature, the battery internal resistance, and the single-cell voltage equalization. The coefficient determination module is used to determine the power adjustment coefficient based on the ambient temperature, the battery internal resistance, and the single-cell voltage balance; wherein the ambient temperature, the battery internal resistance, and the single-cell voltage balance are all negatively correlated with the power adjustment coefficient. A power determination module is used to determine the real-time target charging power based on the target charging power adjustment range and the power adjustment coefficient; The charging control module is used to control the charging pile to charge the electric vehicle at the real-time target charging power.

[0007] An electronic device according to a fourth aspect of this application includes: a processor and a memory storing computer program instructions; When the processor executes computer program instructions, it implements the multi-parameter coupling fast charging method for two-wheeled electric vehicles as described in the second aspect embodiment.

[0008] The multi-parameter coupled fast charging system, method, apparatus, and equipment for two-wheeled electric vehicles in this application embodiment achieve precise dynamic adaptation of fast charging power through a collaborative design that "determines the power range based on remaining battery power + determines the adjustment coefficient based on ambient temperature, battery internal resistance, and individual cell voltage balance." It controls the macro-level fast charging pace with remaining battery power to ensure charging efficiency, while mitigating damage risks from high ambient temperatures, battery aging, and individual cell voltage imbalances through micro-calibration of multiple core parameters. This effectively balances fast charging speed and battery protection, adapting to different battery states and environmental scenarios, significantly improving fast charging stability and battery compatibility, effectively extending battery life, simplifying control logic, and reducing charging pile adaptation costs. It possesses strong practical value and industrial promotion potential.

[0009] Other features and advantages of this application will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing this application. Attached Figure Description

[0010] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 This is a flowchart of a multi-parameter coupling fast charging method for two-wheeled electric vehicles according to an embodiment of this application; Figure 2 This is a flowchart illustrating the determination of the power adjustment coefficient in the multi-parameter coupling fast charging method for two-wheeled electric vehicles according to an embodiment of this application. Figure 3 This is a flowchart illustrating the determination of real-time target charging power in a multi-parameter coupling fast charging method for two-wheeled electric vehicles according to an embodiment of this application. Detailed Implementation

[0011] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application.

[0012] In the description of this application, the use of terms such as "first," "second," etc., is for the purpose of distinguishing technical features only and should not be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated or the order of the technical features indicated.

[0013] In the description of this application, it should be understood that the orientation descriptions, such as up, down, etc., are based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application.

[0014] In the description of this application, it should be noted that, unless otherwise explicitly defined, terms such as "setup," "installation," and "connection" should be interpreted broadly, and those skilled in the art can reasonably determine the specific meaning of the above terms in this application in conjunction with the specific content of the technical solution.

[0015] The technical solution of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are some embodiments of this application, not all embodiments.

[0016] One embodiment of this application provides a multi-parameter coupling fast charging system for a two-wheeled electric vehicle, which includes: An ambient temperature sensor is used to collect the ambient temperature of the environment in which the two-wheeled vehicle is located. The battery parameter acquisition unit is used to collect information such as the remaining battery capacity, battery internal resistance, and individual cell voltage balance. The main control unit, connected to the ambient temperature sensor and battery parameter acquisition unit, is used to receive ambient temperature, remaining power, battery internal resistance, and individual cell voltage balance. It also determines the target charging power adjustment range based on the remaining power and adjusts the real-time target charging power of the electric vehicle according to the ambient temperature, battery internal resistance, and individual cell voltage balance, ensuring that the real-time target charging power is within the target charging power adjustment range.

[0017] In this embodiment, a collaborative design that "determines the power range based on remaining battery capacity + determines the adjustment coefficient based on ambient temperature, battery internal resistance, and individual cell voltage balance" achieves precise dynamic adaptation of fast charging power. This approach controls the macro-level fast charging pace based on remaining battery capacity to ensure charging efficiency, while micro-calibrating multiple core parameters mitigates damage risks from high ambient temperatures, battery aging, and individual cell voltage imbalances. It effectively balances fast charging speed and battery protection, adapting to different battery states and environmental scenarios, significantly improving fast charging stability and battery compatibility, effectively extending battery life, and simplifying the control logic to reduce charging pile adaptation costs. This approach possesses strong practical value and industrial promotion potential.

[0018] The aforementioned ambient temperature sensor can be an NTC thermistor sensor. Further options include sensors with waterproof, vibration-resistant, and wide-temperature-range adaptability characteristics to better meet the needs of outdoor charging scenarios for two-wheeled electric vehicles. The sensor should be installed on the exterior of the electric vehicle in a ventilated area (preferably on the side of the front or inside the rear mudguard), avoiding direct sunlight, direct rain, and the heat-generating area of ​​the charging port to ensure the accuracy of the collected data. Alternatively, it can be directly installed on the charging station (where the electric vehicle is usually located close to the charging station).

[0019] The aforementioned battery parameter acquisition unit adopts an integrated acquisition module, which integrates three major functions: remaining power (SOC) acquisition, battery internal resistance acquisition, and single-cell voltage equalization acquisition. The whole unit adopts a miniaturized packaging design, which is suitable for the narrow installation space of two-wheeled electric vehicle battery packs. It is located inside the battery pack near the cells and is kept insulated from the cells. Alternatively, independent sub-modules can be used to complete the acquisition of remaining power, battery internal resistance, and single-cell voltage equalization separately.

[0020] The aforementioned remaining power can be collected by communicating with the battery management system (BMS) to read the battery's current voltage, charging and discharging current, and cumulative capacity data. The SOC value can be calculated using the ampere-hour integration method combined with the open-circuit voltage calibration algorithm, which can accurately reflect the battery's current remaining power level.

[0021] The aforementioned individual cell voltage balance can be obtained by simultaneously acquiring the voltage of each individual cell through multiple voltage acquisition channels, and by calculating the difference between the maximum and minimum individual cell voltages, the individual cell voltage balance data can be obtained.

[0022] The aforementioned main control unit can be a microcontroller, DSP, etc., specifically an STM32 series processor. It needs to have a multi-channel communication interface and high-speed computing capabilities. It can be installed on the main control board inside the charging pile of a two-wheeled electric vehicle and obtain data such as remaining power, battery internal resistance, and single-cell voltage balance from the side of the electric vehicle through wired or wireless communication.

[0023] The aforementioned main control unit can have a built-in mapping table between SOC and power range, determining the corresponding target charging power adjustment range based on the pre-processed SOC value, for example: When SOC < 30% (low battery range), the target charging power adjustment range is set to 30kW~40kW; When 30%≤SOC≤80% (medium power range), the target charging power adjustment range is set to 20kW~30kW; When SOC > 80% (high battery range), the target charging power adjustment range is set to 5kW~10kW; It should be noted that the specific division needs to be flexibly adjusted based on the load-bearing capacity of the electric vehicle and the output capacity of the charging station.

[0024] The aforementioned main control unit can calculate the power adjustment coefficient k based on ambient temperature, battery internal resistance, and individual cell voltage balance. The calculation logic is as follows: the higher the ambient temperature, the greater the battery internal resistance, and the greater the difference in individual cell voltage balance, the smaller the value of k, and vice versa. Combining the target charging power adjustment range, the real-time power is calculated using the formula "Real-time target charging power = Lower threshold of adjustment range + (Higher threshold of adjustment range - Lower threshold of adjustment range) × k", and then a power adjustment command is sent to the charging pile power module.

[0025] The above (high threshold of adjustment range - low threshold of adjustment range) can be understood as a segment value.

[0026] The aforementioned main control unit continuously receives real-time parameters from various sensors and acquisition units, repeatedly executing the "parameter preprocessing → coefficient calculation → power adjustment" process to achieve dynamic adaptive adjustment of charging power. For example, when the ambient temperature rises due to exposure to sunlight during charging, the k value decreases synchronously, and the real-time target charging power is correspondingly reduced within the set range to prevent battery damage caused by high-temperature, high-power charging; if the battery's internal resistance decreases during charging, the k value increases accordingly, increasing the charging power within a safe range to ensure fast charging efficiency.

[0027] In some implementations, the aforementioned multi-parameter coupled fast charging system for two-wheeled electric vehicles also includes a heat dissipation module, which is electrically connected to the main control unit.

[0028] In this embodiment, the use of a heat dissipation module can effectively alleviate battery heat buildup during high-power charging, prevent charging interruptions caused by excessive temperature, ensure fast charging efficiency, reduce the impact of high temperature on battery internal resistance and single-cell voltage balance, extend battery life, and improve the system's fast charging stability and adaptability under different ambient temperatures.

[0029] like Figure 1 As shown, this application embodiment also provides a multi-parameter coupling fast charging method for two-wheeled electric vehicles. This multi-parameter coupling fast charging method for two-wheeled electric vehicles is applied to the main control unit 140 in the above-mentioned multi-parameter coupling fast charging system for two-wheeled electric vehicles. The multi-parameter coupling fast charging method for two-wheeled electric vehicles includes steps S100 to S600. Step S100: Obtain the remaining battery power; Step S200: Determine the target charging power adjustment range based on the remaining power, wherein the remaining power is negatively correlated with the target charging power adjustment range; Step S300: Obtain ambient temperature, battery internal resistance, and single-cell voltage balance. Step S400: Determine the power adjustment coefficient based on ambient temperature, battery internal resistance, and single-cell voltage balance; wherein, ambient temperature, battery internal resistance, and single-cell voltage balance are all negatively correlated with the power adjustment coefficient. Step S500: Determine the real-time target charging power based on the target charging power adjustment range and the power adjustment coefficient; Step S600: Control the charging pile to charge the electric vehicle at the real-time target charging power.

[0030] The method in this embodiment is based on the aforementioned multi-parameter coupled fast charging system for two-wheeled electric vehicles, and therefore possesses all the beneficial effects of such a system. Simultaneously, this method first obtains the ambient temperature outside the vehicle and the temperature of each group of battery cells, calculates and determines the internal average temperature of the battery cells and the temperature difference between the inside and outside, and then adapts the basic interval time for charging cycles according to the relationship between the absolute value of the temperature difference and the ambient and average temperatures. Logically, this aligns with actual heat dissipation conditions. When the ambient temperature is lower than the internal average temperature, the larger the absolute value of the temperature difference, the longer the interval, allowing sufficient time for heat dissipation. When the ambient temperature is higher than or equal to the average temperature, the larger the absolute value of the temperature difference, the shorter the interval, reasonably ensuring both fast charging efficiency and heat dissipation requirements. Furthermore, the cyclic charging avoids simultaneous heating of all battery cells, reducing heat accumulation within the battery pack and helping to alleviate the problem of high-temperature triggering protection. It balances fast charging efficiency and heat dissipation safety, adapts to different outdoor environmental requirements, improves fast charging stability, and helps extend the lifespan of the blade battery pack.

[0031] The aforementioned main control unit establishes communication with the battery parameter acquisition unit, reads the current battery voltage, charging / discharging current, and cumulative capacity data transmitted by the battery management system (BMS), and can calculate the remaining charge (SOC) using the ampere-hour integration method. Further, the acquired data can be processed by moving average filtering to eliminate outliers caused by transient interference, improving the accuracy of SOC measurement and precisely outputting the current remaining charge value.

[0032] The aforementioned main control unit incorporates a mapping logic between remaining battery power and power range, adhering to the principle that "remaining battery power and target charging power adjustment range are negatively correlated." For example, when 30% ≤ SOC ≤ 80%, it is set to 20kW~30kW; when SOC > 80%, it is set to 5kW~10kW, automatically matching the corresponding range without additional manual intervention. In some implementations, the main control unit further sets mapping logic between remaining battery power and power range for different vehicle models and batteries. Based on the battery and electric vehicle information, it can automatically select a mapping logic that better matches the battery and electric vehicle to improve charging service. By macroscopically controlling the charging power range through remaining battery power, it avoids overcharging due to high power charging when the battery is high and low power charging affecting efficiency when the battery is low, achieving reasonable planning of fast charging rhythm, balancing charging speed and basic battery protection, and adapting to the core needs of two-wheeled electric vehicles with different battery power scenarios.

[0033] The aforementioned main control unit receives ambient temperature data transmitted from an ambient temperature sensor and battery internal resistance and single-cell voltage equalization data transmitted from a battery parameter acquisition unit via a communication interface. The acquisition frequency of these three parameters can be synchronized with the remaining power acquisition frequency.

[0034] The aforementioned main control unit follows the principle that "ambient temperature, battery internal resistance, and individual cell voltage balance are all negatively correlated with the power adjustment coefficient," and sets a range for the coefficient's value. For example, the better the parameter values ​​(suitable ambient temperature, low internal resistance, and good balance), the closer the coefficient is to 100%; the worse the parameter values, the closer the coefficient is to 0%, automatically calculating and outputting a unique power adjustment coefficient. This achieves microscopic and precise calibration of charging power, dynamically adjusting the coefficient for different ambient temperatures, battery health states, and individual cell voltage balance conditions. This avoids overheating and battery damage caused by fixed-power charging, making power adjustment more targeted and balancing fast charging efficiency with safety protection.

[0035] The aforementioned main control unit employs the calculation logic of "real-time target charging power = lower threshold of the target charging power adjustment range + segment value × power adjustment coefficient". Combining the range determined in step S200 and the coefficient from step S400, it automatically calculates the real-time power value, ensuring the result falls within the set adjustment range without requiring additional manual calculation. By integrating the macroscopic power range and microscopic adjustment coefficient, it achieves precise matching of charging power, ensuring it does not exceed the safe power range while dynamically optimizing according to actual operating conditions. This avoids the drawbacks of excessively high or low power, balancing fast charging speed, battery protection, and operating condition adaptability, thus improving the scientific nature of the adjustment.

[0036] The aforementioned main control unit can send a charging adjustment command carrying the real-time target charging power to the charging pile power module via a PWM signal, controlling the power module to output the corresponding current and voltage for fast charging of the two-wheeled electric vehicle battery. During the charging process, it continuously receives feedback data from various parameter acquisition modules, cyclically executes steps S100 to S500, dynamically updates the real-time power, and ensures that it adapts to changes in operating conditions throughout the process.

[0037] In some implementations, reference Figure 2 Step S400 includes steps S410 to S420; Step S410: Determine the influencing factors corresponding to the ambient temperature, battery internal resistance, and single-cell voltage balance based on the current values ​​of ambient temperature, battery internal resistance, and single-cell voltage balance; wherein, the larger the current values ​​of ambient temperature, battery internal resistance, and single-cell voltage balance, the larger the corresponding influencing factor. Step S420: Determine the power adjustment coefficient based on the ambient temperature, battery internal resistance, and individual cell voltage balance, and their respective influencing factors.

[0038] The aforementioned main control unit can follow the principle that "the larger the current parameter value (the worse the operating condition), the larger the influence factor," and "the total influence factor is 0~1, and a single parameter anomaly can exceed 1 / 3 of the constraint," amplifying the dominant role of abnormal states in power regulation. A specific example can be found below: Ambient temperature: 0℃ corresponds to 0, 25℃ corresponds to 0.1, 50℃ corresponds to 0.3, and 60℃ corresponds to 0.8; Battery internal resistance: 100mΩ corresponds to 0, 150mΩ corresponds to 0.2, and 200mΩ corresponds to 0.8. Individual cell voltage balance: 0V corresponds to 0, 0.2V corresponds to 0.1, 0.3V corresponds to 0.3, and 0.5V corresponds to 0.8.

[0039] Understandably, the specific mapping relationship needs to be flexibly set according to actual needs. The above is just an example. The core idea is that the value during abnormal phases needs to be effectively reflected in the power adjustment.

[0040] Afterwards, the main control unit can calculate the sum S of the three initial influence factors. If S≤1, the initial factors can be directly used as the final influence factors; if S>1, the value can be assigned to 1.

[0041] In this implementation, the design strictly adheres to the principle of "the worse the operating conditions, the larger the factor." By setting high impact factors for abnormal parameters (such as 60℃ high temperature and 200mΩ high internal resistance), abnormal states can be quickly and accurately fed back to power regulation, preventing the dilution of abnormal effects. The logic of using a sum ≤1 directly and assigning 1 to values ​​>1 simplifies calculations and ensures the compliance of the factor sum, adapting to the efficient processing requirements of the two-wheeled electric vehicle's main control unit. When operating conditions are favorable, the total impact value is small, and the power adjustment coefficient is close to 1 to ensure fast charging efficiency; when operating conditions are poor, the total impact value is large, and the coefficient is quickly reduced to avoid battery damage. The dynamic adaptation logic sensitively tracks parameter changes, significantly improving the fast charging system's response speed to abnormal risks, power regulation accuracy, and adaptability stability in different scenarios.

[0042] In some implementations, the influencing factors corresponding to ambient temperature, battery internal resistance, and single-cell voltage equalization are determined based on the current values ​​of ambient temperature, battery internal resistance, and single-cell voltage equalization, including: Based on the ambient temperature and the predetermined temperature classification level, the corresponding influence factor of the ambient temperature is determined. The higher the ambient temperature, the higher the temperature classification level and the greater the corresponding influence factor. Based on the battery's internal resistance and a predetermined internal resistance classification level, the influence factor corresponding to the battery's internal resistance is determined. The higher the battery's internal resistance, the higher the internal resistance classification level, and the greater the corresponding influence factor. Based on the individual cell voltage balance and the predetermined voltage deviation classification, the influence factor corresponding to the individual cell voltage balance is determined. The larger the individual cell voltage balance indication deviation, the higher the corresponding temperature classification level, and the larger the corresponding influence factor.

[0043] In this embodiment, influencing factors are determined according to a grading rule for temperature, internal resistance, and voltage deviation, ensuring that the contribution of each parameter to power regulation precisely matches the actual operating condition level. The design of factors whose influence increases with the level of environmental temperature, battery internal resistance, and voltage deviation allows for targeted amplification of the adjustment weights for abnormal operating conditions (such as high temperature, high internal resistance, and large voltage deviation), making power adjustment more closely aligned with the risk level. This approach not only ensures fast charging efficiency under normal operating conditions but also rapidly triggers power optimization when parameters enter abnormal levels, effectively avoiding battery damage and improving the adaptability and adjustment accuracy of the multi-parameter coupled fast charging system for two-wheeled electric vehicles to different environments and battery states, balancing fast charging speed and battery protection.

[0044] In some implementations, the power adjustment coefficient is determined based on the ambient temperature, battery internal resistance, and individual cell voltage uniformity, and their respective influencing factors, including: Based on the influencing factors of ambient temperature, battery internal resistance, and single-cell voltage uniformity, the corresponding attenuation ratio coefficient is determined; where the larger the influencing factor, the larger the corresponding attenuation ratio coefficient. The power adjustment coefficient is determined based on the preset basic proportional coefficient and multiple attenuation proportional coefficients.

[0045] The aforementioned main control unit can preset the mapping rules between the influence factor and the attenuation ratio coefficient, and the attenuation ratio coefficient ranges from 0 to 1, strictly following the rule that "the larger the influence factor (the worse the operating condition), the larger the attenuation ratio coefficient." The following is an example: The influence factor of ambient temperature is 0 → attenuation ratio coefficient 0, 0.1 → 0.1, 0.3 → 0.3, 0.8 → 0.8; Battery internal resistance influence factor 0 → attenuation ratio coefficient 0, 0.2 → 0.2, 0.8 → 0.8; The influence factor of single-cell voltage balance is 0 → attenuation ratio coefficient 0, 0.1 → 0.1, 0.3 → 0.3, 0.8 → 0.8.

[0046] It should be noted that other types of mapping rules can also be used in actual operation. For example, the actual impact of ambient temperature, battery internal resistance, and single-cell voltage balance can be further considered, and influence coefficients can be introduced. For example, ambient temperature can be assigned an adjustment coefficient of 1.2, battery internal resistance can be assigned an adjustment coefficient of 0.9, and single-cell voltage balance can be assigned an influence coefficient of 0.8. That is, taking the corresponding attenuation ratio coefficient of 0.8 as an example, the final attenuation ratio coefficient corresponding to ambient temperature is 0.8*1.2=0.96, the final attenuation ratio coefficient corresponding to battery internal resistance is 0.8*0.9=0.72, and the final attenuation ratio coefficient corresponding to single-cell voltage balance is 0.8*0.8=0.64.

[0047] The aforementioned power adjustment coefficient can be calculated using the formula: Power Adjustment Coefficient = Base Proportional Coefficient - Attenuation Ratio Corresponding to Ambient Temperature - Attenuation Proportional Coefficient Corresponding to Battery Internal Resistance - Attenuation Proportional Coefficient Corresponding to Individual Cell Voltage Balance. Furthermore, when the total value of multiple attenuation proportional coefficients exceeds 1, it is assigned a value of 1 to ensure the power adjustment coefficient remains within the 0-1 range. Additionally, when the total value of multiple attenuation proportional coefficients exceeds a preset threshold (e.g., 1.5, the specific threshold can be flexibly set), an alarm message can be generated for remote manual verification.

[0048] In this embodiment, the design achieves precise quantification of power attenuation through a positive correlation between the influencing factor and the attenuation ratio coefficient. Simultaneously, it supports the introduction of adjustment coefficients to assign weights to each parameter, aligning with actual impact priorities and adapting to the complex operating conditions of two-wheeled electric vehicles. Furthermore, the subtraction formula is concise and efficient; a value of 1 is assigned when the total attenuation exceeds 1, and an alarm is triggered when a preset threshold is exceeded, ensuring compliance of the power adjustment coefficient while providing timely warnings of high-risk operating conditions. Moreover, the dynamic adaptation logic responds to parameter changes in real time, balancing fast charging efficiency under normal operating conditions with battery protection under abnormal operating conditions, significantly improving the adjustment accuracy, safety, and scenario adaptability stability of the fast charging system.

[0049] In some implementations, reference Figure 3 Step S500 includes steps S510 to S530; Step S510: Determine the lower threshold value of the target charging power adjustment range and the segment value corresponding to the target charging power adjustment range; Step S520: Perform a multiplication operation on the section value and the power adjustment coefficient to obtain the power adjustment value; Step S530: Add the low threshold value of the target charging power adjustment range and the power adjustment value to obtain the real-time target charging power.

[0050] The aforementioned main control unit first defines the core parameters of the target charging power adjustment range: the lower threshold value is the minimum value of the range, and the segment value is the difference between the maximum value of the range and the lower threshold value (segment value = maximum adjustment range value - lower threshold value of the adjustment range). For example, when 30% ≤ remaining power ≤ 80%, the range is 20kW~30kW, the lower threshold value = 20kW, and the segment value = 10kW.

[0051] The main control unit can call the power adjustment coefficient determined in step S400 and perform a multiplication operation with the segment value to obtain the power adjustment value (power adjustment value = segment value × power adjustment coefficient). Then, the low threshold value and the power adjustment value are added together to finally obtain the real-time target charging power (i.e., real-time target charging power = low threshold value + power adjustment value). During the charging process, the multi-parameter acquisition module continuously collects parameters and feeds them back. The main control unit repeats the above calculation process to dynamically update the real-time target charging power, ensuring that it always adapts to the current operating conditions.

[0052] In this implementation, the calculation logic of "low threshold + segment value × coefficient" ensures that the real-time target charging power is always within a preset safe range, avoiding battery damage or insufficient fast charging efficiency caused by power overflow. The calculation logic is simple and efficient, adapting to the rapid processing needs of the main control unit of two-wheeled electric vehicles. The power adjustment value can accurately reflect the quality of the operating conditions (the higher the coefficient, the larger the adjustment value, and the closer the power is to the upper limit of the range, ensuring fast charging; the lower the coefficient, the smaller the adjustment value, and the power is close to the low threshold, protecting the battery). The dynamic iterative update mechanism can respond to changes in the environment and battery status in real time, significantly improving the power adjustment accuracy, operating condition adaptability, and charging stability of multi-parameter coupled fast charging of two-wheeled electric vehicles, taking into account both charging speed and battery life.

[0053] In some embodiments, the above-mentioned multi-parameter coupling fast charging method for two-wheeled electric vehicles further includes: An alarm strategy is executed when the ambient temperature exceeds a preset high temperature threshold, and / or when the battery internal resistance exceeds a preset high internal resistance threshold, and / or when the ambient temperature exceeds a preset high temperature threshold.

[0054] In this embodiment, the alarm strategy and the dynamic adaptation logic of the power adjustment coefficient form a dual guarantee. In the early stage, the power is accurately optimized through coefficient adjustment to avoid damage to the battery from minor anomalies. When parameters such as ambient temperature and battery internal resistance exceed high thresholds, the alarm strategy is immediately triggered to provide timely warning of high-risk operating conditions. Combined with the continuous feedback and step-by-step execution of the multi-parameter acquisition module, the main control unit can track parameter changes in real time and respond quickly when risks escalate, avoiding problems such as battery overheating and accelerated aging caused by continuous parameter exceedances. This significantly improves the safety and controllability of the multi-parameter coupled fast charging process of two-wheeled electric vehicles, taking into account both fast charging efficiency and battery life cycle protection.

[0055] The multi-parameter coupling fast charging method for two-wheeled electric vehicles provided in this application can be executed by a multi-parameter coupling fast charging device for two-wheeled electric vehicles. This application uses the execution of the multi-parameter coupling fast charging method by the multi-parameter coupling fast charging device for two-wheeled electric vehicles as an example to illustrate the multi-parameter coupling fast charging device for two-wheeled electric vehicles provided in this application.

[0056] This application embodiment also provides a multi-parameter coupling fast charging device for a two-wheeled electric vehicle, applied to the multi-parameter coupling fast charging system for a two-wheeled electric vehicle as described above. The multi-parameter coupling fast charging device for a two-wheeled electric vehicle includes: The power acquisition module is used to obtain the remaining power. The first power determination module is used to determine the target charging power adjustment range based on the remaining power, wherein the remaining power is negatively correlated with the target charging power adjustment range; The battery parameter acquisition module is used to obtain ambient temperature, battery internal resistance, and single-cell voltage balance. The coefficient determination module is used to determine the power adjustment coefficient based on ambient temperature, battery internal resistance, and single-cell voltage balance; among them, ambient temperature, battery internal resistance, and single-cell voltage balance are all negatively correlated with the power adjustment coefficient. The power determination module is used to determine the real-time target charging power based on the target charging power adjustment range and the power adjustment coefficient. The charging control module is used to control the charging pile to charge the electric vehicle at the real-time target charging power.

[0057] This application also provides an electronic device, including: a processor and a memory storing computer program instructions; when the processor executes the computer program instructions, it implements the multi-parameter coupling fast charging method for two-wheeled electric vehicles as described above. The source table provided in this application can implement each process of the above-described multi-parameter coupling fast charging method for two-wheeled electric vehicles and achieve the same beneficial effects; to avoid repetition, it will not be described again here.

[0058] This application also provides a computer-readable storage medium storing computer-executable instructions that are executed by a processor or control module, causing the processor to perform the multi-parameter coupling fast charging method for two-wheeled electric vehicles described above, for example, the method described above.

[0059] It should be clarified that this application is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of this application is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of this application.

[0060] The functional blocks shown in the above structural diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this application are programs or code segments used to perform the required tasks. The programs or code segments can be stored on a machine-readable medium or transmitted over a transmission medium or communication link via data signals carried on a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM, floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency links, etc. Code segments can be downloaded via computer networks such as the Internet, intranets, etc.

[0061] It should also be noted that the exemplary embodiments mentioned in this application describe methods or systems based on a series of steps or apparatus. However, this application is not limited to the order of the above steps; that is, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0062] It should also be noted that the user information involved in this application, including but not limited to user device information and user personal information, and the data, including but not limited to data used for analysis, stored data, and displayed data, are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of related data must comply with relevant regulations. The acquisition, storage, use, and processing of data in the technical solution of this application all comply with the relevant provisions of national laws and regulations.

[0063] The aspects of this disclosure have been described above with reference to flowchart illustrations and / or block diagrams of methods, apparatus, and computer program products according to embodiments of this disclosure. It should be understood that each block in the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that these instructions, executable via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions / actions specified in one or more blocks of the flowchart illustrations and / or block diagrams. Such a processor can be a general-purpose processor, a special-purpose processor, a special application processor, or a field-programmable logic circuit. It is also understood that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can also be implemented by special-purpose hardware performing the specified functions or actions, or can be implemented by a combination of special-purpose hardware and computer instructions.

[0064] The above are merely specific embodiments of this application. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the protection scope of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the protection scope of this application.

Claims

1. A multi-parameter coupling fast charging system for a two-wheeled electric vehicle, characterized in that, include: An ambient temperature sensor is used to collect the ambient temperature of the environment in which the two-wheeled vehicle is located. The battery parameter acquisition unit is used to collect information such as the remaining battery capacity, battery internal resistance, and individual cell voltage balance. The main control unit is connected to the ambient temperature sensor and the battery parameter acquisition unit. It is used to receive the ambient temperature, the remaining power, the battery internal resistance, the single-cell voltage balance, and determine the target charging power adjustment range based on the remaining power. Based on the ambient temperature, the battery internal resistance, and the single-cell voltage balance, it adjusts the real-time target charging power of the electric vehicle, and the real-time target charging power is within the target charging power adjustment range.

2. The multi-parameter coupling fast charging system for two-wheeled electric vehicles according to claim 1, characterized in that, It also includes a heat dissipation module, which is electrically connected to the main control unit.

3. A multi-parameter coupling fast charging method for a two-wheeled electric vehicle, characterized in that, The method for multi-parameter coupling fast charging of a two-wheeled electric vehicle, applied to the multi-parameter coupling fast charging system for two-wheeled electric vehicles as described in claim 1 or 2, includes: Get the remaining battery level; The target charging power adjustment range is determined based on the remaining battery power, wherein the remaining battery power is negatively correlated with the target charging power adjustment range; The ambient temperature, the battery internal resistance, and the single-cell voltage balance are obtained. The power adjustment coefficient is determined based on the ambient temperature, the battery internal resistance, and the individual cell voltage balance; wherein the ambient temperature, the battery internal resistance, and the individual cell voltage balance are all negatively correlated with the power adjustment coefficient. The real-time target charging power is determined based on the target charging power adjustment range and the power adjustment coefficient. The charging station is controlled to charge the electric vehicle at the real-time target charging power.

4. The multi-parameter coupling fast charging method for two-wheeled electric vehicles according to claim 3, characterized in that, The step of determining the power adjustment coefficient based on the ambient temperature, the battery internal resistance, and the single-cell voltage balance includes: Based on the current values ​​of the ambient temperature, the battery internal resistance, and the single-cell voltage equalization, determine the corresponding influence factors for the ambient temperature, the battery internal resistance, and the single-cell voltage equalization; wherein, the larger the current values ​​of the ambient temperature, the battery internal resistance, and the single-cell voltage equalization, the larger the corresponding influence factor. The power adjustment coefficient is determined based on the ambient temperature, the battery internal resistance, and the individual cell voltage balance, and their respective influencing factors.

5. The multi-parameter coupling fast charging method for two-wheeled electric vehicles according to claim 4, characterized in that, The step of determining the influencing factors corresponding to the ambient temperature, battery internal resistance, and individual cell voltage equalization based on the current values ​​of the ambient temperature, battery internal resistance, and individual cell voltage equalization includes: Based on the ambient temperature and the predetermined temperature classification level, the influence factor corresponding to the ambient temperature is determined, wherein the higher the ambient temperature, the higher the temperature classification level, and the greater the corresponding influence factor. Based on the battery's internal resistance and a predetermined internal resistance classification level, an influence factor corresponding to the battery's internal resistance is determined. The larger the battery's internal resistance, the higher the internal resistance classification level, and the larger the corresponding influence factor. Based on the individual unit voltage balance and the predetermined voltage deviation classification level, the influence factor corresponding to the individual unit voltage balance is determined. The larger the deviation of the individual unit voltage balance, the higher the corresponding temperature classification level, and the larger the corresponding influence factor.

6. The multi-parameter coupling fast charging method for two-wheeled electric vehicles according to claim 4 or 5, characterized in that, The determination of the power adjustment coefficient based on the ambient temperature, the battery internal resistance, and the individual cell voltage balance, and their respective influencing factors, includes: Based on the influence factors corresponding to the ambient temperature, the battery internal resistance, and the single-cell voltage uniformity, the corresponding attenuation ratio coefficients are determined; wherein, the larger the influence factor, the larger the corresponding attenuation ratio coefficient. The power adjustment coefficient is determined based on the preset basic proportional coefficient and multiple attenuation proportional coefficients.

7. The multi-parameter coupling fast charging method for two-wheeled electric vehicles according to claim 3, characterized in that, The step of determining the real-time target charging power based on the target charging power adjustment range and the power adjustment coefficient includes: Determine the lower threshold value of the target charging power adjustment range, and the segment value corresponding to the target charging power adjustment range; The power adjustment value is obtained by multiplying the segment value and the power adjustment coefficient. The real-time target charging power is obtained by adding the lower threshold value of the target charging power adjustment range and the power adjustment value.

8. The multi-parameter coupling fast charging method for two-wheeled electric vehicles according to claim 3, characterized in that, Also includes: An alarm strategy is executed when the ambient temperature exceeds a preset high temperature threshold, and / or when the battery internal resistance exceeds a preset high internal resistance threshold, and / or when the ambient temperature exceeds a preset high temperature threshold.

9. A multi-parameter coupling fast charging device for a two-wheeled electric vehicle, characterized in that, The multi-parameter coupling fast charging device for two-wheeled electric vehicles, as described in claim 1 or 2, comprises: The power acquisition module is used to obtain the remaining power. The first power determination module is used to determine the target charging power adjustment range based on the remaining power, wherein the remaining power is negatively correlated with the target charging power adjustment range; A battery parameter acquisition module is used to acquire the ambient temperature, the battery internal resistance, and the single-cell voltage equalization. The coefficient determination module is used to determine the power adjustment coefficient based on the ambient temperature, the battery internal resistance, and the single-cell voltage balance; wherein the ambient temperature, the battery internal resistance, and the single-cell voltage balance are all negatively correlated with the power adjustment coefficient. A power determination module is used to determine the real-time target charging power based on the target charging power adjustment range and the power adjustment coefficient; The charging control module is used to control the charging pile to charge the electric vehicle at the real-time target charging power.

10. An electronic device, characterized in that, The electronic device includes a processor and a memory storing computer program instructions; When the processor executes the computer program, it implements the multi-parameter coupling fast charging method for two-wheeled electric vehicles as described in any one of claims 3 to 8.

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