Intelligent charging method and intelligent charging system for electric bicycle

Abstract

The invention discloses an intelligent charging method and system for an electric bicycle, and the method comprises the steps: 1, obtaining feature data of a battery of the electric bicycle, and predicting a capacity recession curve of the whole life cycle of the battery of the electric bicycle; 2, predicting the residual life of the battery of the electric bicycle according to the characteristic data; step 3, dividing the capacity recession curve into four sections, the first two sections being a first period, the third section being a second period, and the fourth section being a third period; according to the residual life, judging which period the battery of the electric bicycle is in; and 4, in response to the setting of the user terminal, in combination with the period of the battery of the electric bicycle, executing different charging strategies on the battery. On the basis that the charging time set by a user is met, the electric bicycle is intelligently charged for maintaining the battery of the electric bicycle, and the service life of the battery of the electric bicycle is maximized.

Description

Technical Field

[0001] The present invention relates to the field of electric bicycles, and in particular to an intelligent charging method and an intelligent charging system for electric bicycles. Background Art

[0002] In recent years, people pay more and more attention to energy saving and environmental protection, so the electric bicycle market has developed rapidly. With the increase of urban population density, electric bicycles have become an essential tool for people's short-distance transportation, and the biggest problem facing electric bicycles is the healthy use of electric bicycle batteries.

[0003] The healthy use of electric bicycle batteries can not only effectively ensure the service life of the electric bicycle, but also ensure the safe use of the electric bicycle.

[0004] During the use of electric bicycles, how to ensure the healthy use of its battery requires users to follow the instructions in the user manual when charging and discharging, and to charge and discharge in a healthy manner, so as to extend the service life of the electric bicycle battery to the greatest extent possible.

[0005] However, in the actual use of electric bicycles, users often charge electric bicycles according to their own usage habits. Bad usage habits will greatly shorten the service life of electric bicycles. Moreover, it is unrealistic to rely on users to actively develop good usage habits of electric bicycle batteries.

[0006] In this context, the inventors realized that there is an urgent need for an intelligent charging method and an intelligent charging system for electric bicycles. The use of intelligent charging methods and systems can maintain batteries during charging of electric bicycles, extend the service life of batteries, and ensure the safety of electric bicycle batteries, which is the most reliable and feasible way. Summary of the invention

[0007] In view of this, an embodiment of the present invention provides a method and system for psychological assessment and treatment based on artificial intelligence multimodal input to solve the above technical problems.

[0008] To achieve the above objectives, in a first aspect, a smart charging method for an electric bicycle is provided, which comprises the following steps: Step 1: Obtain characteristic data of the electric bicycle battery and predict the capacity decay curve of the electric bicycle battery over its entire life cycle; Step 2: predicting the remaining life of the electric bicycle battery based on the characteristic data; Step 3, dividing the capacity decay curve into four sections, the first two sections are the first period, the third section is the second period, and the fourth section is the third period; according to the remaining life, determining which period the electric bicycle battery is in; Step 4: responding to the settings of the user terminal and combining the period of the battery of the electric bicycle, executing different charging strategies for it; The charging strategy includes selectively executing a fast charging mode and / or a standard charging mode according to the stage of the electric bicycle battery within the charging time set by the user.

[0009] In some embodiments, the electric bicycle intelligent charging method further includes step five, when the user-set time is greater than the charging time of the standard charging mode, the electric bicycle battery is regularly deeply discharged, and then the standard charging mode operation is performed, and the actual capacity of the current electric bicycle is recorded.

[0010] In certain embodiments, in the electric bicycle intelligent charging method, the characteristic data includes: nominal capacity, nominal voltage, cut-off voltage, power charged each time, actual number of charging times used by the user, voltage rise time in the constant current charging stage, current drop time in the constant voltage charging stage, and time when the temperature reaches peak value in the discharge stage.

[0011] In some embodiments, in the electric bicycle intelligent charging method, step 2 is specifically: The voltage rise time in the constant current charging stage, the current drop time in the constant voltage charging stage and the temperature peak time in the discharge stage are selected, and the XGBoost-LSTM model is combined to predict the first remaining life of the electric bicycle battery.

[0012] In certain embodiments, in the electric bicycle intelligent charging method, step three further includes determining the stage of the electric bicycle battery according to the position of the first remaining life in the capacity decay curve.

[0013] In some embodiments, in the electric bicycle intelligent charging method, the step three further includes: obtaining the number of charging cycles actually used by the user, locating it in the capacity decay curve, and determining a second remaining life obtained according to the capacity decay curve; When it is determined that the electric bicycle battery is in a first period according to the first remaining life, and when the difference between the first remaining life and the second remaining life is greater than or equal to 20%, a charging mode is executed according to the decay period; When it is determined that the electric bicycle battery is in the second period or the third period according to the first remaining life, and when the difference between the first remaining life and the second remaining life is greater than or equal to 20%, the charging mode is executed according to the dangerous period.

[0014] In some embodiments, in the electric bicycle intelligent charging method, when the electric bicycle battery is in the first period, the charging strategy is: According to the capacity of the battery of the electric bicycle, a first time of using the fast charging mode and a second time of using the standard charging mode are predicted and provided to the user; The user sets a charging time. When the set charging time is less than the first charging time, the fast charging mode is executed according to the set charging time. When the set charging time is reached, the charging is stopped and the charging is marked as completed. When the charging time is set between the first time and the second time, the fast charging mode is executed according to the first time, and after the fast charging mode is completed, the trickle charging is performed, and after the trickle charging is completed, the charging is stopped and the charging is marked as completed; When the set charging time is greater than the second time, the standard charging mode is executed according to the second charging time. After the set charging time is reached, trickle charging is performed. Charging is stopped when the set charging time is reached or trickle charging ends, and the charging is marked as completed.

[0015] In certain embodiments, in the electric bicycle intelligent charging method, when the electric bicycle battery is in the first period, when the set time is greater than the second time, a deep discharge is performed on the electric bicycle battery; after the deep discharge, the relationship between the remaining set charging time and the first time and the second time is determined, and a corresponding charging strategy is executed.

[0016] In some embodiments, in the electric bicycle intelligent charging method, when the electric bicycle battery is in a decay period or a dangerous period, the charging strategy is: Predicting, based on the actual capacity, a first time required for adopting the fast charging mode and a second time required for adopting the standard charging mode, and providing the second time to the user; The user sets the charging time; Perform multiple charging cycles within a predetermined time, and after each charging cycle, determine whether the remaining time is greater than the first time, if so, perform the next charging cycle; if less than or equal to, charge according to the standard charging mode until the set charging time is reached, stop charging, and complete this charging; Each charging cycle includes: executing the standard charging mode for the first time, and then pausing for a predetermined time.

[0017] Another aspect of the present invention further provides an electric bicycle intelligent charging system using the above electric bicycle intelligent charging method, characterized in that it comprises: A communication module, which is used to obtain characteristic data of the electric bicycle battery; A calculation module, which is used to predict the capacity decay curve of the electric bicycle battery over its entire life cycle according to the characteristic data, and at the same time, predict the remaining life of the electric bicycle battery according to the characteristic data; Charging terminal; A control module configured to, The capacity decay curve is divided into four sections, the first two sections are the first period, the third section is the second period, and the fourth section is the third period; According to the remaining life, determine which period the electric bicycle battery is in; In response to the settings of the user terminal, different charging strategies are implemented for the electric bicycle battery in combination with the period of the battery; The charging strategy includes selectively executing a fast charging mode and / or a standard charging mode according to the stage of the battery of the electric bicycle within the charging time set by the user.

[0018] Beneficial effects: The electric bicycle intelligent charging method described in the present invention sets the most suitable charging strategy for the electric bicycle battery according to the status of the electric bicycle battery within the charging time set by the user, meets the user's use needs, and does not require user operation, so as to realize maintenance charging of the electric bicycle battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying drawings are used to better understand the present invention and do not constitute an improper limitation of the present invention. Figure 1 is a flow chart of an electric bicycle intelligent charging method according to an embodiment of the present invention; Figure 2 It is a functional block diagram of an electric bicycle intelligent charging system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0020] The following is a description of exemplary embodiments of the present invention in conjunction with the accompanying drawings, including various details of the embodiments of the present invention to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present invention. Similarly, for clarity and conciseness, the description of well-known functions and structures is omitted in the following description.

[0021] The embodiment of the present invention relates to an intelligent charging method for an electric bicycle. Figure 1 1 is a flow chart of an electric bicycle intelligent charging method according to an embodiment of the present invention; an electric bicycle intelligent charging method according to the present invention comprises the following steps: Step 1: Obtain characteristic data of the electric bicycle battery and predict the capacity decay curve of the electric bicycle battery over its entire life cycle; Step 2: predicting the remaining life of the electric bicycle battery based on the characteristic data; Step 3, dividing the capacity decay curve into four sections, the first two sections are the first period, the third section is the second period, and the fourth section is the third period; according to the remaining life, determining which period the electric bicycle battery is in; Step 4: responding to the settings of the user terminal and combining the period of the battery of the electric bicycle, executing different charging strategies for it; The charging strategy includes selectively executing a fast charging mode and / or a standard charging mode according to the stage of the electric bicycle battery within the charging time set by the user.

[0022] In modern society, electric bicycles have become one of the important choices for people to travel. However, as the battery is used for a longer time, its capacity will gradually decline, which not only affects the use of the battery, but may also cause inconvenience to users. Therefore, in order to better manage and use electric bicycle batteries, we need to predict the capacity decline over the entire life cycle and formulate appropriate charging strategies based on the prediction results.

[0023] The electric bicycle intelligent charging method of the invention does not require a complicated setting program, and can meet the charging time set by the user to the greatest extent. According to the actual situation of the electric bicycle battery, the charging strategy most suitable for the electric bicycle is implemented. The charging method of the invention optimizes the battery charging strategy based on the user's usage habits, and ensures and extends the service life of the electric bicycle battery as much as possible.

[0024] Step 1: We need to obtain the characteristic data of the electric bicycle battery. These data include but are not limited to the maximum number of cycles of rated use of the battery, nominal capacity, nominal voltage, cut-off voltage, power per charge, actual number of charges by users, voltage rise time during constant current charging, current drop time during constant voltage charging, and temperature peak time during discharge.

[0025] Use the following formula to determine different equivalent full charge and discharge times, calculate the capacity decay rate of the electric bicycle battery corresponding to different charge and discharge cycle periods, and draw the capacity decay curve.

[0026] (1); in, is the battery capacity decay rate, It is the equivalent number of full charge and discharge cycles. , represents the battery capacity decay correlation coefficient, The value is 0.01676. The value is 0.88793.

[0027] Step 2: predicting the remaining life of the electric bicycle battery based on the characteristic data; The characteristic parameters with a high correlation with battery capacity decay are extracted from the voltage, current and temperature data of the original charge and discharge cycle of the electric bicycle battery, and the initial data is normalized and abnormal data is eliminated; the selected indirect health features are then input into the XGBoost model for preliminary prediction to increase the number of features, and the model hyperparameters are optimized through the network search algorithm. Finally, the output results of the two models are weighted summed using the inverse error method to obtain the final prediction result. The calculation formula is as follows: (2); (3); (4); Where: , Represent the weights of the XGBoost model and the LSTM model respectively; , Represent the predicted values ​​of the XGBoost model and the LSTM model respectively; , Represent the errors of the XGBoost model and the LSTM model respectively.

[0028] The remaining life of the electric bicycle battery predicted by the above formula can be compared with the actual remaining life of the electric bicycle battery with an accuracy rate of up to 99%, which can accurately predict the remaining life of the electric bicycle battery.

[0029] Step 3, dividing the capacity decay curve into four sections, the first two sections are the first period, the third section is the second period, and the fourth section is the third period; according to the remaining life, determining which period the electric bicycle battery is in; The capacity decay curve is divided into 4 equal parts, and the first 2 sections are regarded as the first period, the third section as the second period, and the fourth section as the third period. The first period is the initial decay period. In this stage, the capacity decay of the battery is relatively slow. This is because after the first use of the battery, the internal chemical substances begin to gradually adapt to the charging and discharging process, resulting in a slight decrease in capacity. However, the rate of battery capacity decay during this period is not significant, so users usually do not notice the change in battery performance. The second period is the mid-term decay period. In this stage, the capacity decay rate of the battery begins to accelerate. As the battery is used for a longer time, the activity of the internal chemical substances gradually decreases, resulting in increased energy loss during the charging and discharging process. At this point, users may begin to notice a significant decrease in battery life and need to charge more frequently. The third period is the final decay period. In this stage, the capacity decay rate of the battery reaches the fastest. If users still want to continue using electric bicycle batteries, they need to control the charging strategy to ensure safe use. At different times, formulating a charging strategy that can both meet user needs and maintain electric bicycle batteries can ensure the safety of electric bicycles and guarantee and even extend the life of electric bicycles.

[0030] According to the remaining life predicted in step 2, that is, the number of charge and discharge cycles that the electric bicycle battery can still be used, the corresponding position is found in the capacity decay curve to determine which period the position belongs to. Different periods correspond to different charging strategies.

[0031] Step 4, after obtaining the information of the above three steps, when charging the electric bicycle battery, the user sets the charging time according to the actual use needs, and then implements different charging strategies for it with reference to the user's set time and the period of the electric bicycle battery. During the overcharge, maintenance measures are taken to extend the battery life.

[0032] The charging strategy includes selectively executing a fast charging mode and / or a standard charging mode according to the stage of the electric bicycle battery within the charging time set by the user.

[0033] The fast charging module includes setting the fast charging allowable voltage. When starting the fast charging mode, the battery voltage of the electric bicycle is first determined. When the current voltage of the electric bicycle battery is lower than the fast charging allowable voltage, the standard charging mode is used for charging first. However, when the voltage reaches the fast charging allowable voltage, the fast charging mode is started. If the battery voltage of the electric bicycle is judged to be too low at the beginning of charging, the charging equipment will use a small current for pre-charging. Only when the battery terminal voltage rises slowly and can accept a larger charging current, can the fast charging mode be used.

[0034] In fast charging mode, the charging device charges the battery with a larger charging current, so that the battery voltage reaches point C, which is close to full charge. At this time, the charged capacity can reach about 90% of the battery's nominal capacity.

[0035] In the standard charging mode, when there is not much lead sulfate on the plate, the pb+ required for electrochemical oxidation and reduction provided by the dissolution of lead sulfate is extremely scarce, the polarization of the reaction increases, and the side reaction at the positive electrode, that is, the oxygen evolution process, that is, the 2H2O+4e=4H'+O2 process, the voltage at the end of the charging curve increases significantly. At this time, the output voltage and current of the charging equipment should be strictly controlled, otherwise it will cause water loss. When the charge reaches 90%, the side reaction at the negative electrode, that is, the hydrogen evolution process, occurs. At this time, the terminal voltage of the battery reaches point D, a large amount of gas is precipitated at the two electrodes, and the water electrolysis process is carried out. At this time, the next stage of charging, the current reduction stage, begins.

[0036] Step 5: When the user-set time is greater than the charging time of the standard charging mode, the electric bicycle battery is regularly deep-discharged and then recharged, and the actual capacity of the electric bicycle is recorded.

[0037] Different deep discharge cycles can be set according to the user's frequency of use. Under normal use, the electric bicycle should be deeply discharged once every 1 to 2 months. Regular deep discharge will help maintain the electric bicycle battery.

[0038] In the above scheme, the characteristic data include: nominal capacity, nominal voltage, cut-off voltage, power charged each time, actual number of charging times used by the user, voltage rise time in the constant current charging stage, current drop time in the constant voltage charging stage and time when the temperature reaches the peak in the discharge stage.

[0039] The voltage rise time in the constant current charging stage, the current drop time in the constant voltage charging stage and the temperature peak time in the discharge stage are selected, and the XGBoost-LSTM model is combined to predict the first remaining life of the electric bicycle battery.

[0040] Obtaining the number of charge and discharge times actually used by the user, locating the number in the capacity decay curve, and determining a second remaining life obtained according to the capacity decay curve; When it is determined according to the first remaining life that the battery of the electric bicycle is in the early or middle stage, when the difference between the first remaining life and the second remaining life is greater than or equal to 20%, the charging mode is executed according to the decay period; When it is determined that the electric bicycle battery is in a decay period or a dangerous period according to the first remaining life, and when the difference between the first remaining life and the second remaining life is greater than or equal to 20%, the charging mode is executed according to the dangerous period.

[0041] The difference between the first remaining life and the second remaining life is greater than 20%, indicating that the electric bicycle battery has a large loss during actual use. In subsequent use, attention should be paid to battery maintenance.

[0042] When the electric bicycle battery is in the first period, the charging strategy is: According to the capacity of the electric bicycle battery, the first time of fast charging and the second time of standard charging are predicted and provided to the user; The user sets a charging time. When the set charging time is less than the first charging time, charging is performed according to the set charging time. When the set charging time is reached, charging is stopped and the charging is marked as completed. When the set charging time is between the first time and the second time, fast charging is performed according to the first time, and trickle charging is performed after the fast charging is completed. After the trickle charging is completed, charging is stopped and the charging is marked as completed; When the set charging time is greater than the second time, the standard charging mode is executed according to the second charging time. After the second charging time is reached, trickle charging is performed. Charging is stopped when the set charging time is reached or trickle charging ends, and the charging is marked as completed.

[0043] In certain embodiments, in the electric bicycle intelligent charging method, when the electric bicycle battery is in the first period, when the set time is greater than the second time, a deep discharge is performed on the electric bicycle battery; after the deep discharge, the relationship between the remaining set charging time and the first time and the second time is determined, and a corresponding charging strategy is executed.

[0044] In some embodiments, in the electric bicycle intelligent charging method, when the electric bicycle battery is in the third period or the fourth period, the charging strategy is: Predicting, based on the actual capacity, a first time required for adopting the fast charging mode and a second time required for adopting the standard charging mode, and providing the second time to the user; The user sets the charging time; Perform multiple charging cycles within a predetermined time, and after each charging cycle, determine whether the remaining time is greater than the first time, if so, perform the next charging cycle; if less than or equal to, charge according to the standard charging mode until the set charging time is reached, stop charging, and complete this charging; Each charging cycle includes: executing the standard charging mode according to the first time and pausing charging for a predetermined time.

[0045] When the electric bicycle battery is in the decline stage, the setting time for suspending charging is 30min~45min. When the electric bicycle battery is in the fourth stage, the setting time for suspending charging is 30min~45min.

[0046] On the other hand, Figure 2 As shown, the present invention also provides an electric bicycle intelligent charging system, which includes: A communication module, which is used to obtain characteristic data of the electric bicycle battery; A calculation module, which is used to predict the capacity decay curve of the electric bicycle battery over its entire life cycle according to the characteristic data, and at the same time, predict the remaining life of the electric bicycle battery according to the characteristic data; Charging terminal; A control module configured to, The capacity decay curve is divided into four sections, the first two sections are the first period, the third section is the second period, and the fourth section is the third period; According to the remaining life, determine which period the electric bicycle battery is in; In response to the settings of the user terminal, different charging strategies are implemented for the electric bicycle battery in combination with the period of the battery; The charging strategy includes selectively executing a fast charging mode and / or a standard charging mode according to the stage of the battery of the electric bicycle within the charging time set by the user.

[0047] Embodiment 1: Two electric bicycles are in basically the same usage status. The batteries of the two electric bicycles are in the first stage. According to the frequency of daily riding, the first one is charged by the electric bicycle intelligent charging method of the present invention, and the second one is charged by itself according to the user's usage habits. After the two electric bicycles are used for half a year, the loss of the battery of the first electric bicycle is 5% to 10% less than the loss of the battery of the second electric bicycle during this half year.

[0048] Embodiment 2: Two electric bicycles are in substantially the same usage state. The batteries of the two electric bicycles are in the second stage. According to the frequency of daily riding, the first one is charged by the electric bicycle intelligent charging method of the present invention, and the second one is charged by itself according to the user's usage habits. After the two electric bicycles are used for half a year, the loss of the battery of the first electric bicycle is 15% to 20% less than the loss of the battery of the second electric bicycle during this half year.

[0049] Embodiment 3: Two electric bicycles are in basically the same usage status. The batteries of the two electric bicycles are in the third stage. According to the frequency of riding every day, the first one is charged by the electric bicycle intelligent charging method of the present invention, and the second one is charged by itself according to the user's usage habits. After the two electric bicycles are used for half a year, the loss of the battery of the first electric bicycle is 20% to 30% less than the loss of the battery of the second electric bicycle during this half year.

[0050] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may occur depending on design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent charging method for an electric bicycle, characterized in that: The following steps are involved: Step 1: Obtain characteristic data of the electric bicycle battery and predict the capacity decay curve of the electric bicycle battery over its entire life cycle; Step 2: predicting the remaining life of the electric bicycle battery based on the characteristic data; Step 3, dividing the capacity decay curve into four sections, the first two sections are the first period, the third section is the second period, and the fourth section is the third period; according to the remaining life, determining which period the electric bicycle battery is in; Step 4: responding to the settings of the user terminal and combining the period of the battery of the electric bicycle, executing different charging strategies for it; The charging strategy includes selectively executing a fast charging mode and / or a standard charging mode according to the stage of the electric bicycle battery within the charging time set by the user.

2. The electric bicycle intelligent charging method according to claim 1, characterized in that: The method further includes step five, when the user-set time is greater than the charging time of the standard charging mode, the battery of the electric bicycle is first deeply discharged regularly, and then the standard charging mode is performed, and the actual capacity of the electric bicycle is recorded.

3. The electric bicycle intelligent charging method according to claim 1, characterized in that: The characteristic data include: nominal capacity, nominal voltage, cut-off voltage, power per charge, actual number of charging times by the user, voltage rise time in constant current charging stage, current drop time in constant voltage charging stage and time when temperature reaches peak value in discharge stage.

4. The electric bicycle intelligent charging method according to claim 1, characterized in that: The step 2 is specifically as follows: The voltage rise time in the constant current charging stage, the current drop time in the constant voltage charging stage and the temperature peak time in the discharge stage are selected, and the XGBoost-LSTM model is combined to predict the first remaining life of the electric bicycle battery.

5. The electric bicycle intelligent charging method according to claim 4, characterized in that: The step three also includes determining the stage of the electric bicycle battery according to the position of the first remaining life in the capacity decay curve.

6. The electric bicycle intelligent charging method according to claim 5, characterized in that: The step three also includes: obtaining the number of charging cycles actually used by the user, locating it in the capacity decay curve, and determining a second remaining life obtained according to the capacity decay curve; When it is determined that the electric bicycle battery is in the first period according to the first remaining life, and when the difference between the first remaining life and the second remaining life is greater than or equal to 20%, the charging mode is executed according to the second period; When it is determined that the electric bicycle battery is in the second period or the third period according to the first remaining life, when the difference between the first remaining life and the second remaining life is greater than or equal to 20%, the charging mode is executed according to the third period.

7. The electric bicycle intelligent charging method according to claim 1, characterized in that: When the electric bicycle battery is in the first period, the charging strategy is: According to the capacity of the battery of the electric bicycle, a first time of using the fast charging mode and a second time of using the standard charging mode are predicted and provided to the user; The user sets a charging time. When the set charging time is less than the first charging time, the fast charging mode is executed according to the set charging time. When the set charging time is reached, the charging is stopped and the charging is marked as completed. When the charging time is set between the first time and the second time, the fast charging mode is executed according to the first time, and after the fast charging mode is completed, the trickle charging is performed, and after the trickle charging is completed, the charging is stopped and the charging is marked as completed; When the set charging time is greater than the second time, the standard charging mode is executed according to the second charging time. After the set charging time is reached, trickle charging is performed. Charging is stopped when the set charging time is reached or trickle charging ends, and the charging is marked as completed.

8. The electric bicycle intelligent charging method according to claim 7, characterized in that: When the electric bicycle battery is in the first period, when the set charging time is greater than the second time, a deep discharge is performed on the electric bicycle battery; after the deep discharge, the relationship between the remaining set charging time and the first time and the second time is determined, and a corresponding charging strategy is executed.

9. The electric bicycle intelligent charging method according to claim 1, characterized in that: When the battery of an electric bicycle is in a decaying or dangerous period, the charging strategy is: Predicting, based on the actual capacity, a first time required for adopting the fast charging mode and a second time required for adopting the standard charging mode, and providing the second time to the user; The user sets the charging time; Perform multiple charging cycles within a predetermined time, and after each charging cycle, determine whether the remaining time is greater than the first time, and if so, perform the next charging cycle; If it is less than or equal to, charging is performed according to the standard charging mode until the set charging time is reached, then charging is stopped and the charging is completed; Each charging cycle includes: executing the standard charging mode for the first time, and then pausing for a predetermined time.

10. An electric bicycle intelligent charging system, using the electric bicycle intelligent charging method according to any one of claims 1 to 9, characterized in that: include: A communication module, which is used to obtain characteristic data of the electric bicycle battery; A calculation module, which is used to predict the capacity decay curve of the electric bicycle battery over its entire life cycle according to the characteristic data, and at the same time, predict the remaining life of the electric bicycle battery according to the characteristic data; Charging terminal; A control module configured to, The capacity decay curve is divided into four sections, the first two sections are the first period, the third section is the second period, and the fourth section is the third period; According to the remaining life, determine which period the electric bicycle battery is in; In response to the settings of the user terminal, different charging strategies are implemented for the electric bicycle battery in combination with the period of the battery; The charging strategy includes selectively executing a fast charging mode and / or a standard charging mode according to the stage of the electric bicycle battery within the charging time set by the user.

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