Electric two-wheeled vehicle anti-slip control system

Abstract

The present application relates to electric vehicle control technical field, especially to a kind of electric two-wheeled vehicle anti-slip control system, including anti-slip control platform, vehicle control evaluation unit, information risk supervision unit, slip control unit, operation and maintenance management unit and slip control unit;The present application is analyzed from the historical slip self-control and state performance of electric two-wheeled vehicle two angles, to improve the automatic control effect of electric two-wheeled vehicle slip, further to the state information of electric two-wheeled vehicle vehicle driving state safety supervision analysis, to understand the driving state of electric two-wheeled vehicle, judge whether electric two-wheeled vehicle is in the slip state, and take corresponding control strategy, effectively prevent the electric two-wheeled vehicle from slipping on the slope, and the slip control information is analyzed by the way of information feedback to the slip control performance supervision evaluation, so as to reasonably optimize adjustment, to reduce the slip control abnormal risk of electric two-wheeled vehicle.

Description

Technical Field

[0001] This invention relates to the field of electric vehicle control technology, and in particular to an anti-rollover control system for electric two-wheeled vehicles. Background Technology

[0002] With societal development, people have increasingly higher demands for the safety of transportation. The widespread adoption of electric two-wheelers has made them an environmentally friendly and convenient mode of transport, favored by many consumers. However, in actual use, electric two-wheelers are prone to rolling backwards when parking or starting on slopes due to gravity. This not only affects normal use but may also pose safety hazards. Therefore, effectively preventing electric two-wheelers from rolling backwards and improving vehicle safety performance is a problem that needs to be solved.

[0003] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0004] The purpose of this invention is to provide an anti-rollover control system for electric two-wheeled vehicles to address the aforementioned technical deficiencies. This invention analyzes the historical rollover self-control and current performance of the electric two-wheeled vehicle from two perspectives to ensure the stability of its rollover self-control and improve its automatic rollover control effect. Under the premise that both historical rollover self-control and current performance are normal, the invention performs vehicle driving status safety monitoring and analysis on the vehicle's status information to understand its driving status, determine whether the electric two-wheeled vehicle is in a rollover state, and take corresponding control strategies. This effectively prevents the electric two-wheeled vehicle from rolling over slopes, improving riding safety. Furthermore, the invention uses information feedback to perform rollover control performance monitoring and evaluation analysis on the rollover control information to understand the rollover control performance of the electric two-wheeled vehicle, allowing for reasonable optimization and adjustments to reduce the risk of abnormal rollover control.

[0005] The objective of this invention can be achieved through the following technical solution: an anti-roll-off control system for electric two-wheeled vehicles, comprising an anti-roll-off management platform, a vehicle control evaluation unit, an information risk monitoring unit, a roll-off management unit, an operation and maintenance management unit, and a roll-off monitoring unit;

[0006] The vehicle control evaluation unit is used to collect historical monitoring information of electric two-wheeled vehicles, perform slope slippage self-control safety evaluation and analysis on the historical monitoring information, and perform discrimination processing on the obtained slope slippage self-control risk rate to obtain qualified and unqualified signals.

[0007] Upon receiving the operation and management instruction, the information risk monitoring unit immediately collects the operational performance information of the vehicle status controller in the electric two-wheeler, and performs an information failure risk safety assessment on the operational performance information to obtain normal signals and alarm signals.

[0008] Upon receiving qualified and normal signals, the slope control unit immediately collects the status information of the electric two-wheeler, performs safety monitoring and analysis of the vehicle's driving status based on the status information, and sends the obtained slope control signal to the operation and maintenance management unit and the slope monitoring unit.

[0009] The slope control monitoring unit is used to collect slope control information of electric two-wheeled vehicles, perform slope control performance monitoring and evaluation analysis on the slope control information, and perform discrimination processing on the control performance evaluation coefficient K to obtain the control signal.

[0010] Preferably, the slope slip control safety assessment and analysis process of the vehicle control evaluation unit is as follows:

[0011] A monitoring period is set and defined as a time threshold. Historical monitoring information of electric two-wheelers within this time threshold is obtained. This historical information includes the total number of runaway warnings and the number of runaway control deviations. The runaway control deviation count represents the sum of the number of times automatic runaway control was delayed and the number of times runaway control was not executed. The ratio between the runaway control deviation count and the total number of runaway warnings is then obtained. This ratio is set as the runaway automatic control risk rate. The runaway automatic control risk rate is then compared and analyzed with its internally entered and stored preset runaway automatic control risk rate threshold.

[0012] If the ratio between the self-controlled slope risk rate and the preset self-controlled slope risk rate threshold is less than 1, a qualified signal is generated; if the ratio between the self-controlled slope risk rate and the preset self-controlled slope risk rate threshold is greater than or equal to 1, a disqualified signal is generated.

[0013] Preferably, the information failure risk security assessment operation process of the information risk supervision unit is as follows:

[0014] The vehicle status controller of the electric two-wheeler within a time threshold is obtained. The vehicle status controller includes a vehicle speed sensor, an angle sensor, and a motor status sensor. The time threshold is divided into i sub-time periods, where i is a natural number greater than zero. The operating performance information of each sensor in the vehicle status controller within each sub-time period is obtained. The operating performance information includes the temperature rise rate and the operating voltage. Then, the overlap duration corresponding to the value of the operating performance information exceeding the preset threshold is obtained, and the overlap duration corresponding to the value of the operating performance information exceeding the preset threshold is set as the state risk duration.

[0015] Preferably, the duration of the state risk is compared and analyzed with a stored preset state risk duration threshold. Sub-time periods with a state risk duration greater than the preset threshold are designated as abnormal periods and assigned the value "1". Sub-time periods with a state risk duration less than or equal to the preset threshold are designated as normal periods and assigned the value "2". A sequence of "1" and "2" is obtained based on the order of the sub-time periods. The number of occurrences exceeding two consecutive "1"s is then identified and set as the control risk value. This control risk value is then compared and analyzed with a stored preset control risk value threshold.

[0016] If the ratio between the control risk value and the preset control risk value threshold is less than the preset threshold, a normal signal is generated;

[0017] If the ratio between the control risk value and the preset control risk value threshold is greater than or equal to the preset threshold, an alarm signal is generated.

[0018] Preferably, the vehicle driving status safety monitoring and analysis process of the slope control unit is as follows:

[0019] The state information of the electric two-wheeler within a time threshold is obtained, including forward and reverse states, and the state information of the electric two-wheeler is analyzed:

[0020] If the electric two-wheeler's status information indicates it is in reverse, no signal will be generated.

[0021] If the electric two-wheeler's status information indicates it is in a forward motion state, then an anti-slip-off signal is generated;

[0022] Preferably, when the slope control unit generates the anti-slope signal:

[0023] The vehicle status controller acquires vehicle status information and slope information of the electric two-wheeler within a time threshold. The vehicle status information includes forward speed and motor rotation direction status, which includes forward rotation and reverse rotation. The slope information is then processed for discrimination.

[0024] If the slope angle is less than the preset slope angle threshold, no signal will be generated;

[0025] If the slope angle is greater than or equal to the preset slope angle threshold, a risk runaway signal is generated. Once the risk runaway signal is generated, the vehicle status information is immediately processed.

[0026] If the forward speed is greater than or equal to the preset forward speed threshold, or the motor is rotating in the forward direction, the electric two-wheeler is determined to be in normal condition and no signal is generated.

[0027] If there is no forward speed greater than or equal to the preset forward speed threshold, or if the motor is rotating in the forward direction, the electric two-wheeler is determined to be in a rolling state, and a rolling control signal is generated.

[0028] Preferably, the slope control performance monitoring and evaluation analysis process of the slope monitoring unit is as follows:

[0029] The slope control information of the electric two-wheeled vehicle within the time threshold is obtained. The slope control information includes the slope braking distance and the slope execution time. The slope braking distance represents the slope distance of the electric two-wheeled vehicle in the slope state. The slope execution time represents the time between the moment when the electric two-wheeled vehicle generates the slope control signal and the moment when the electric two-wheeled vehicle stops sliding. The slope braking distance and the slope execution time are labeled as LZ and LC, respectively.

[0030] The control performance evaluation coefficient K is obtained according to the formula. The control performance evaluation coefficient K is then compared and analyzed with the preset control performance evaluation coefficient threshold stored internally.

[0031] If the ratio between the control performance evaluation coefficient K and the preset control performance evaluation coefficient threshold is less than 1, no signal will be generated.

[0032] If the ratio between the control performance evaluation coefficient K and the preset control performance evaluation coefficient threshold is greater than or equal to 1, a control signal is generated.

[0033] The beneficial effects of this invention are as follows:

[0034] (1) This invention analyzes the historical slope slip control and state performance of electric two-wheeled vehicles from two perspectives to ensure the stability of the slope slip control of electric two-wheeled vehicles and improve the effect of automatic slope slip control. That is, the historical monitoring information is analyzed for slope slip control safety assessment to understand whether the historical slope slip control efficiency of electric two-wheeled vehicles is qualified, so as to carry out reasonable optimization management to ensure the slope slip control efficiency of electric two-wheeled vehicles. The operation performance information is analyzed for information failure risk safety assessment to understand whether the information collection risk is too high, so as to carry out timely maintenance management to ensure the monitoring effect and information effectiveness of automatic slope slip control of electric two-wheeled vehicles.

[0035] (2) Under the premise that the historical slope slip control and status performance are normal, the present invention performs a safety monitoring analysis of the vehicle driving status information of the electric two-wheeler to understand the driving status of the electric two-wheeler, determine whether the electric two-wheeler is in a slope slip state, and take corresponding control strategies to effectively prevent the electric two-wheeler from slipping on the slope, improve the riding safety, and conduct slope slip control performance monitoring and evaluation analysis through information feedback to understand the slope slip control performance of the electric two-wheeler so as to make reasonable optimization and adjustment to reduce the risk of abnormal slope slip control of the electric two-wheeler. Attached Figure Description

[0036] The invention will now be further described with reference to the accompanying drawings;

[0037] Figure 1 This is a flowchart of the system of the present invention;

[0038] Figure 2 This is an auxiliary reference diagram for Embodiment 2 of the present invention. Detailed Implementation

[0039] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0040] Example 1:

[0041] Please see Figures 1 to 2 As shown, the present invention is an anti-rollover control system for electric two-wheeled vehicles, including an anti-rollover management platform, a vehicle control evaluation unit, an information risk monitoring unit, a rollover management unit, an operation and maintenance management unit, and a rollover monitoring unit. The anti-rollover management platform has a one-way communication connection with the vehicle control evaluation unit and the information risk monitoring unit. The vehicle control evaluation unit and the information risk monitoring unit have a one-way communication connection with the rollover management unit. The information risk monitoring unit and the rollover management unit have a one-way communication connection with the operation and maintenance management unit. The rollover management unit has a one-way communication connection with the rollover monitoring unit. The rollover monitoring unit has a one-way communication connection with the operation and maintenance management unit.

[0042] When the anti-runaway control platform generates a regulatory instruction, it sends the instruction to the vehicle control assessment unit and the information risk monitoring unit. Upon receiving the instruction, the vehicle control assessment unit immediately collects historical monitoring information of the electric two-wheeler and performs a runaway self-control safety assessment and analysis on the historical monitoring information to understand whether the historical runaway self-control efficiency of the electric two-wheeler is up to standard, so as to make reasonable optimization management and ensure the runaway self-control effect of the electric two-wheeler. The specific runaway self-control safety assessment and analysis process is as follows:

[0043] The monitoring period is set as a time threshold, and historical monitoring information of electric two-wheelers within the time threshold is obtained. The historical monitoring information includes the total number of runaway warnings and the number of runaway control deviations. The number of runaway control deviations represents the sum of the number of times the automatic runaway control was delayed and the number of times the runaway control was not executed. Then, the ratio between the number of runaway control deviations and the total number of runaway warnings is obtained. The ratio between the number of runaway control deviations and the total number of runaway warnings is set as the runaway automatic control risk rate. It should be noted that the higher the value of the runaway automatic control risk rate, the greater the risk of abnormal runaway automatic control of the electric two-wheeler and the higher the optimization requirements.

[0044] The automatic landslide control risk rate is compared and analyzed with its internally entered and stored preset automatic landslide control risk rate threshold:

[0045] If the ratio between the self-controlled risk rate of landslide and the preset self-controlled risk rate threshold of landslide is less than 1, a qualified signal is generated and sent to the landslide control unit.

[0046] If the ratio between the automatic slope control risk rate and the preset automatic slope control risk rate threshold is greater than or equal to 1, an unqualified signal is generated and sent to the operation and maintenance management unit via the slope control unit. Upon receiving the unqualified signal, the operation and maintenance management unit immediately performs the preset early warning operation corresponding to the unqualified signal, so as to optimize and manage the automatic slope control of the electric two-wheeled vehicle in a timely manner and improve the automatic slope control effect of the electric two-wheeled vehicle.

[0047] Upon receiving the operation and management instruction, the information risk monitoring unit immediately collects the operational performance information of the vehicle status controller in the electric two-wheeler and performs an information failure risk safety assessment on the operational performance information to understand whether the information collection risk is too high, so as to carry out timely maintenance and management, and ensure the effectiveness of the automatic control monitoring of the electric two-wheeler's slope slippage and the validity of the information. The specific information failure risk safety assessment operation process is as follows:

[0048] The system acquires the vehicle status controller of the electric two-wheeler within a time threshold. The vehicle status controller includes a speed sensor, an angle sensor, and a motor status sensor. The time threshold is divided into i sub-time periods, where i is a natural number greater than zero. The system acquires the operating performance information of each sensor in the vehicle status controller within each sub-time period, including the temperature rise rate and operating voltage. Then, the system acquires the duration of overlap corresponding to the value of the operating performance information exceeding the preset threshold. The duration of overlap corresponding to the value of the operating performance information exceeding the preset threshold is set as the state risk duration. It should be noted that the larger the value of the state risk duration, the greater the abnormal risk of the vehicle status controller of the electric two-wheeler and the greater the risk of slope slip control.

[0049] The system compares and analyzes the state risk duration with the stored preset state risk duration threshold. Sub-time periods with state risk durations greater than the preset state risk duration threshold are set as abnormal periods and are marked as "1". Sub-time periods with state risk durations less than or equal to the preset state risk duration threshold are set as normal periods and are marked as "2". The system obtains the sequence string of "1" and "2" according to the order of the sub-time periods. The number of more than two consecutive "1"s in the sequence string is obtained and set as the control risk value. It should be noted that the larger the control risk value, the greater the risk of failure of each sensor in the vehicle state controller.

[0050] The control risk value is compared and analyzed with its internally entered and stored preset control risk value threshold:

[0051] If the ratio between the controlled risk value and the preset controlled risk value threshold is less than the preset threshold, a normal signal is generated and sent to the slope control unit.

[0052] If the ratio between the control risk value and the preset control risk value threshold is greater than or equal to the preset threshold, an alarm signal is generated and sent to the operation and maintenance management unit. Upon receiving the alarm signal, the operation and maintenance management unit immediately performs the preset early warning operation corresponding to the alarm signal in order to maintain and manage each sensor in the vehicle status controller, so as to ensure the working stability and information validity of each sensor in the vehicle status controller.

[0053] Example 2:

[0054] Upon receiving both qualified and normal signals, the slope control unit immediately collects the status information of the electric two-wheeler and performs safety monitoring and analysis on the status information to understand the driving status of the electric two-wheeler. The specific process of vehicle driving status safety monitoring and analysis is as follows:

[0055] The state information of the electric two-wheeler within a time threshold is obtained, including forward and reverse states, and the state information of the electric two-wheeler is analyzed:

[0056] If the electric two-wheeler's status information indicates it is in reverse, no signal will be generated.

[0057] If the electric two-wheeler's status information indicates it is in a forward motion state, then an anti-slip-off signal is generated;

[0058] When an anti-slip signal is generated, the vehicle status and slope information of the electric two-wheeler within a time threshold are obtained through the vehicle status controller. The vehicle status information includes forward speed and motor rotation direction status. The motor rotation direction status includes forward rotation and reverse rotation. The slope information is then processed for discrimination.

[0059] If the slope angle is less than the preset slope angle threshold, no signal will be generated;

[0060] If the slope angle is greater than or equal to the preset slope angle threshold, a risk runaway signal is generated. Once the risk runaway signal is generated, the vehicle status information is immediately processed.

[0061] If the forward speed is greater than or equal to the preset forward speed threshold, or the motor is rotating in the forward direction, the electric two-wheeler is determined to be in normal condition and no signal is generated.

[0062] If the forward speed is not greater than or equal to the preset forward speed threshold, or the motor is rotating in the forward direction, the electric two-wheeler is determined to be in a rolling state. A rolling control signal is generated and sent to the operation and maintenance management unit and the rolling monitoring unit. Upon receiving the rolling control signal, the operation and maintenance management unit immediately performs the preset warning operation corresponding to the rolling control signal. That is, the vehicle controller sets the speed loop closed-loop PI value to zero, adjusts the motor rotation direction, and drives the motor reaction force through the alternating phase substitution of the three phases ABC or two phases of the motor to counteract the backward rolling force and prevent the backward rolling phenomenon, thereby improving the safety performance of the vehicle.

[0063] Upon receiving the slope control signal, the slope control monitoring unit immediately collects the slope control information of the electric two-wheeler and conducts a slope control performance monitoring and evaluation analysis to understand the slope control performance of the electric two-wheeler. This allows for reasonable optimization and adjustments to reduce the risk of abnormal slope control. The specific slope control performance monitoring and evaluation analysis process is as follows:

[0064] The information on the rollaway control of the electric two-wheeler within the time threshold is obtained. The rollaway control information includes the rollaway braking distance and the rollaway execution time. The rollaway braking distance represents the rollaway distance of the electric two-wheeler in the rollaway state, and the rollaway execution time represents the time between the moment the electric two-wheeler generates the rollaway control signal and the moment the electric two-wheeler stops rolling. It should be noted that the rollaway braking distance and the rollaway execution time are two parameters that reflect the rollaway control performance of the electric two-wheeler. The rollaway braking distance and the rollaway execution time are labeled LZ and LC, respectively.

[0065] According to the formula The control performance evaluation coefficients are obtained, where a1 and a2 are the preset proportional factor coefficients for the slope braking distance and slope execution time, respectively. The proportional factor coefficients are used to correct deviations in the calculation of various parameters, thereby making the calculation results more accurate. a3 is a preset correction factor coefficient. a1, a2, and a3 are all greater than zero. K is the control performance evaluation coefficient. The control performance evaluation coefficient K is compared and analyzed with the preset control performance evaluation coefficient thresholds that are entered and stored internally.

[0066] If the ratio between the control performance evaluation coefficient K and the preset control performance evaluation coefficient threshold is less than 1, no signal will be generated.

[0067] If the ratio between the control performance evaluation coefficient K and the preset control performance evaluation coefficient threshold is greater than or equal to 1, a control signal is generated and sent to the operation and maintenance management unit. After receiving the control signal, the operation and maintenance management unit immediately performs the preset early warning operation corresponding to the control signal, so as to reasonably optimize and adjust the electric two-wheeled vehicle slope control system and reduce the risk of abnormal slope control of the electric two-wheeled vehicle.

[0068] In summary, this invention analyzes the historical rollback control and current performance of electric two-wheeled vehicles from two perspectives to ensure the stability of rollback control and improve its effectiveness. Specifically, it conducts a rollback control safety assessment analysis on historical monitoring information to determine if the historical rollback control efficiency is up to standard, allowing for reasonable optimization and management to ensure efficient rollback control. Furthermore, it performs an information failure risk safety assessment on operational performance information to determine if the information collection risk is too high, enabling timely maintenance and management to ensure effective supervision of the electric two-wheeled vehicle's automatic rollback control. The effectiveness and validity of information are assessed. Under the premise that the historical slope slip control and status performance are normal, the status information of the electric two-wheeler is analyzed for vehicle driving status safety supervision. This is to understand the driving status of the electric two-wheeler, determine whether the electric two-wheeler is slipping, and take corresponding control strategies. This effectively prevents the electric two-wheeler from slipping on the slope, improves riding safety, and conducts slope slip control performance supervision and evaluation analysis through information feedback to understand the slope slip control performance of the electric two-wheeler, so as to make reasonable optimization and adjustment to reduce the risk of abnormal slope slip control of the electric two-wheeler.

[0069] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by those skilled in the art for each set of sample data; as long as it does not affect the ratio between the parameter and the quantized value, it is acceptable.

[0070] The embodiments of this invention are merely illustrative of the technical solutions of this invention and are not intended to limit it. Those skilled in the art can make various modifications and improvements based on the technical solutions and inventive concepts of this invention, and all such modifications and improvements should be included within the scope of protection of this invention.

[0071] The above formulas are all derived from software simulation using a large amount of data and are selected to be close to the actual values. The coefficients in the formulas are set by those skilled in the art according to the actual situation. The above description is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any equivalent substitutions or changes made by those skilled in the art within the technical scope disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the protection scope of the present invention.

Claims

1. A slope-avoidance control system for an electric two-wheeled vehicle, characterized in that, It includes a landslide prevention and control platform, a vehicle control and assessment unit, an information risk monitoring unit, a landslide control unit, an operation and maintenance management unit, and a landslide monitoring unit; The vehicle control evaluation unit is used to collect historical monitoring information of electric two-wheeled vehicles, perform slope slippage self-control safety evaluation and analysis on the historical monitoring information, and perform discrimination processing on the obtained slope slippage self-control risk rate to obtain qualified and unqualified signals. Upon receiving the operation and management instruction, the information risk monitoring unit immediately collects the operational performance information of the vehicle status controller in the electric two-wheeler, and performs an information failure risk safety assessment on the operational performance information to obtain normal signals and alarm signals. Upon receiving qualified and normal signals, the slope control unit immediately collects the status information of the electric two-wheeler, performs safety monitoring and analysis of the vehicle's driving status based on the status information, and sends the obtained slope control signal to the operation and maintenance management unit and the slope monitoring unit. The slope control monitoring unit is used to collect slope control information of electric two-wheeled vehicles, perform slope control performance monitoring and evaluation analysis on the slope control information, and perform discrimination processing on the control performance evaluation coefficient K to obtain the control signal.

2. The anti-rollover control system for an electric two-wheeled vehicle according to claim 1, characterized in that, The slope slippage automatic control safety assessment and analysis process of the vehicle control evaluation unit is as follows: A monitoring period is set and defined as a time threshold. Historical monitoring information of electric two-wheelers within this time threshold is obtained. This historical information includes the total number of runaway warnings and the number of runaway control deviations. The runaway control deviation count represents the sum of the number of times automatic runaway control was delayed and the number of times runaway control was not executed. The ratio between the runaway control deviation count and the total number of runaway warnings is then obtained. This ratio is set as the runaway automatic control risk rate. The runaway automatic control risk rate is then compared and analyzed with its internally entered and stored preset runaway automatic control risk rate threshold. If the ratio between the self-control risk rate of landslide and the preset self-control risk rate threshold of landslide is less than 1, a qualified signal is generated. If the ratio between the self-controlled risk rate of landslide and the preset self-controlled risk rate threshold of landslide is greater than or equal to 1, an unqualified signal is generated.

3. The anti-rollover control system for an electric two-wheeled vehicle according to claim 1, characterized in that, The information failure risk security assessment process of the information risk supervision unit is as follows: The vehicle status controller of the electric two-wheeler within a time threshold is obtained. The vehicle status controller includes a vehicle speed sensor, an angle sensor, and a motor status sensor. The time threshold is divided into i sub-time periods, where i is a natural number greater than zero. The operating performance information of each sensor in the vehicle status controller within each sub-time period is obtained. The operating performance information includes the temperature rise rate and the operating voltage. Then, the overlap duration corresponding to the value of the operating performance information exceeding the preset threshold is obtained, and the overlap duration corresponding to the value of the operating performance information exceeding the preset threshold is set as the state risk duration.

4. The anti-rollover control system for an electric two-wheeled vehicle according to claim 3, characterized in that, The duration of the state risk is compared and analyzed with the stored preset state risk duration threshold. Sub-time periods with state risk durations greater than the preset threshold are designated as abnormal periods and marked as "1". Sub-time periods with state risk durations less than or equal to the preset threshold are designated as normal periods and marked as "2". A sequence of "1"s and "2"s is obtained based on the order of the sub-time periods. The number of occurrences exceeding two consecutive "1"s is then set as the control risk value. This control risk value is then compared and analyzed with the internally stored preset control risk value threshold. If the ratio between the control risk value and the preset control risk value threshold is less than the preset threshold, a normal signal is generated; If the ratio between the control risk value and the preset control risk value threshold is greater than or equal to the preset threshold, an alarm signal is generated.

5. The anti-rollover control system for an electric two-wheeled vehicle according to claim 1, characterized in that, The vehicle driving status safety monitoring and analysis process of the slope control unit is as follows: The state information of the electric two-wheeler within a time threshold is obtained, including forward and reverse states, and the state information of the electric two-wheeler is analyzed: If the electric two-wheeler's status information indicates it is in reverse, no signal will be generated. If the electric two-wheeler's status information indicates it is in a forward motion state, then an anti-slip-off signal is generated.

6. The anti-rollover control system for an electric two-wheeled vehicle according to claim 5, characterized in that, When the slope control unit generates a slope prevention signal: The vehicle status controller acquires vehicle status information and slope information of the electric two-wheeler within a time threshold. The vehicle status information includes forward speed and motor rotation direction status, which includes forward rotation and reverse rotation. The slope information is then processed for discrimination. If the slope angle is less than the preset slope angle threshold, no signal will be generated; If the slope angle is greater than or equal to the preset slope angle threshold, a risk runaway signal is generated. Once the risk runaway signal is generated, the vehicle status information is immediately processed. If the forward speed is greater than or equal to the preset forward speed threshold, or the motor is rotating in the forward direction, the electric two-wheeler is determined to be in normal condition and no signal is generated. If there is no forward speed greater than or equal to the preset forward speed threshold, or if the motor is rotating in the forward direction, the electric two-wheeler is determined to be in a rolling state, and a rolling control signal is generated.

7. The anti-rollover control system for an electric two-wheeled vehicle according to claim 1, characterized in that, The slope control performance monitoring and evaluation analysis process of the slope monitoring unit is as follows: The slope control information of the electric two-wheeled vehicle within the time threshold is obtained. The slope control information includes the slope braking distance and the slope execution time. The slope braking distance represents the slope distance of the electric two-wheeled vehicle in the slope state. The slope execution time represents the time between the moment when the electric two-wheeled vehicle generates the slope control signal and the moment when the electric two-wheeled vehicle stops sliding. The slope braking distance and the slope execution time are labeled as LZ and LC, respectively. The control performance evaluation coefficient K is obtained according to the formula. The control performance evaluation coefficient K is then compared and analyzed with the preset control performance evaluation coefficient threshold stored internally. If the ratio between the control performance evaluation coefficient K and the preset control performance evaluation coefficient threshold is less than 1, no signal will be generated. If the ratio between the control performance evaluation coefficient K and the preset control performance evaluation coefficient threshold is greater than or equal to 1, a control signal is generated.

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