Method and system for estimating remaining mileage of electric assisted bicycle

Abstract

The present invention relates to a method and system for estimating the remaining mileage of an electric power-assisted vehicle. The estimating method includes: after the electric power-assisted vehicle is started, the system fully starts the riding data recording function to record the key data of the electric power-assisted vehicle riding, and the key riding data includes the driving distance, the consumed battery capacity and the riding time data; the instantaneous power consumption and the average power consumption of the electric power-assisted vehicle are calculated according to the recorded data, and the comprehensive power consumption of the electric power-assisted vehicle is calculated by weighted calculation, and the estimated mileage of the electric power-assisted vehicle is calculated according to the current battery capacity data; the average speed of the electric power-assisted vehicle is calculated according to the historical average speed and the historical riding mileage stored in the electric power-assisted vehicle; the average current of the electric power-assisted vehicle in the current power-assisted gear is calculated according to the battery capacity and riding mileage consumed by the current electric power-assisted vehicle by using the obtained average speed; the current gear coefficient of the electric power-assisted vehicle is calculated, and the remaining mileage of the electric power-assisted vehicle in the gear is calculated according to the gear coefficient and the estimated mileage. The present invention can significantly improve the accuracy of the remaining mileage estimation.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power-assisted vehicles, and in particular to a method and system for estimating the remaining mileage of an electric power-assisted vehicle. Background Art

[0002] With the increasing awareness of environmental protection and people's demand for convenient travel, electric bicycles are becoming more and more widely used in the market. However, the energy consumption of electric bicycles is affected by many complex factors, such as the slope and flatness of the road, the size and direction of the wind speed, the rider's human output, pedaling frequency, and traffic conditions (such as frequent starts and stops). The diversity and uncertainty of these factors make it a very challenging task to accurately estimate the remaining mileage of electric bicycles.

[0003] At present, most of the existing remaining mileage estimation methods fail to fully consider these complex and changeable factors, resulting in large deviations in the estimation results. Inaccurate remaining mileage estimation may cause many inconveniences to users, such as being unable to accurately judge whether the power is sufficient to reach the destination when planning a trip, or being unable to make reasonable decisions in power management, affecting the user experience, and may even cause users to get into trouble due to running out of power on the way. Therefore, there is an urgent need for a more accurate and reliable remaining mileage estimation method and system for electric assisted bicycles. Summary of the invention

[0004] The first purpose of the present invention is to provide a method for estimating the remaining mileage of an electric assisted bicycle. By comprehensively considering multiple influencing factors and adopting innovative calculation and calibration mechanisms, the accuracy and stability of the remaining mileage estimation are improved, a more practical and reliable power usage reference is provided to users, and the user's riding experience is optimized.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: A system for estimating remaining mileage of an electric assisted vehicle comprises the following steps: S1. After the electric assisted bicycle is started, the system fully starts the riding data recording function to record the key riding data of the electric assisted bicycle, including the driving distance, battery consumption and riding time data; S2. Calculate the instantaneous power consumption of the electric assisted bicycle based on the recorded data. The instantaneous power consumption of the electric assisted bicycle is the mileage of the electric assisted bicycle that consumes 1mAH of battery capacity during the current riding process. The calculation formula is: P1=S1 / C1, where P1 is the instantaneous power consumption during the current ride, in km / mAH, S1 is the mileage during the current ride, in km, and C1 is the battery capacity consumed during the current ride, in mAH; S3. Calculate the average power consumption of the electric assisted vehicle based on the recorded historical data. The average power consumption of the electric assisted vehicle is the ratio of the total mileage of the electric assisted vehicle to the total battery capacity consumed, in units of Km / mAH, and the calculation formula is: P2= (S1+S2) / (C1+C2), where S2 is the total mileage of the electric assisted vehicle in history, in km, and C2 is the total battery capacity consumed by the electric assisted vehicle in history, in mAH; S4. According to the weighted coefficient, the comprehensive power consumption of the electric assisted vehicle is calculated using the calculated instantaneous power consumption and average power consumption. The comprehensive power consumption is the comprehensive power consumption obtained by weighted calculation of the instantaneous power consumption and the average power consumption using the weighted coefficient. The calculation formula is: P=AP1+BP2, where A is the weighted parameter of instantaneous power consumption, B is the weighted parameter of average power consumption, A+B=100%, and the unit of P is km / mAH; S5. Calculate the estimated mileage of the electric-assisted bicycle according to the current battery capacity data; the calculation formula for calculating the estimated mileage of the electric-assisted bicycle is: M1=Ct*P, where Ct is the remaining power of the electric assisted vehicle, in mAH; S6. Calculate the average speed of the electric-assisted vehicle according to the historical average speed and the historical riding mileage stored in the electric-assisted vehicle. The method for calculating the average speed of the electric-assisted vehicle is to use the historical average speed and the historical riding mileage of the electric-assisted vehicle stored in the electric-assisted vehicle and a preset reference value to calculate the average speed of the electric-assisted vehicle. The calculation formula is: Va=(V0*S0+Vt*St) / (S0+St), where V0 and S0 are the reference values ​​of the preset speed and mileage of the electric-assisted vehicle, in units of Km / h and Km respectively; Vt is the historical average speed of the electric-assisted vehicle, in units of Km / h; St is the historical riding mileage of the electric-assisted vehicle, in units of Km; S7, using the obtained average speed, according to the battery capacity currently consumed by the electric power-assisted vehicle and the riding mileage, calculate the average current of the electric power-assisted vehicle when it is running in the current power-assisted gear; the calculation formula is: Ia= C1*Va / S1, the unit of Ia is mA; S8, compare the calculated average current with the current limiting value of the current gear, and calculate the current gear coefficient of the electric power-assisted bicycle; if the average current Ia is greater than the current limiting value Is of the current gear, the estimated current is Ib=Is, and the gear coefficient is μ=Ia / Ib= Ia / Is; if the average current Ia is less than the current limiting value Is of the current gear, the average current is estimated to obtain the estimated current Ib, and the gear coefficient is μ=Ia / Ib; S9 calculates the remaining mileage of the electric assisted vehicle in this gear according to the gear coefficient and the estimated mileage. The calculation formula is: Mt=M1*μ.

[0006] In the above scheme, step S10 is also included, in which the remaining mileage obtained in step S9 is corrected using a correction factor, and the calculation formula is: M=Mt*K, where K is the correction factor.

[0007] In the above scheme, in step S8, the estimated current Ib is estimated by: Ib=Ia+(Is-Ia) >>3.

[0008] In the above scheme, in step S3, when the total mileage of the electric assisted vehicle is less than S0, an empirical value is introduced to calculate the average power consumption, and the calculation formula is: P2=(S2+Sx) / (C2+Cx), where Sx and Cx are empirical values, i.e., according to the empirical value, the amount of electricity consumed for every Sx mileage is Cx.

[0009] Another inventive object of the present invention is to provide a remaining mileage estimation system for an electric assisted vehicle, which includes a controller, a sensor, a motor, a battery and an instrument. The positive and negative electrodes of the battery are respectively connected to the positive and negative electrodes of the controller's power supply, the U, V, and W phase lines of the controller are respectively electrically connected to the corresponding terminals on the motor, the controller is electrically signal connected to the interface of the motor, the instrument and the sensor are electrically signal connected to the controller, and the data acquisition end of the controller is respectively communicated with the sensor, the instrument and the battery through a bus.

[0010] In the above solution, the sensors include a wheel speed sensor, a current sensor and a cadence sensor. The current sensor is integrated in the controller, and the speed sensor and the cadence sensor are respectively connected to the controller via electrical signals.

[0011] In the above scheme, additional devices are also included, including several types of IOT, auxiliary battery, auxiliary instrument, light module, and Bluetooth module, and the additional devices are respectively connected to the controller by electrical signals.

[0012] The present invention has positive effects: 1) The remaining mileage estimation system of the electric assisted vehicle of the present invention can significantly improve the accuracy of the remaining mileage estimation. The present invention comprehensively integrates the instantaneous power consumption and the average power consumption, and performs dynamic weighted processing and continuous calibration based on the actual data during riding, so that the remaining mileage estimation result is more accurately close to the actual drivable mileage of the vehicle, providing users with a more reliable basis for itinerary planning, and effectively reducing the risk of itinerary interruption due to power exhaustion. 2) The remaining mileage estimation system of the electric assisted vehicle of the present invention can accurately and personalized adapt to riding habits. With the continuous accumulation of riding mileage, the key parameters such as the average speed and average power consumption involved in the calculation process can gradually and accurately reflect the user's unique riding habits, so that the remaining mileage estimation result is more personalized and accurate, and better meet the individual needs of users. 3) The remaining mileage estimation system of the electric assisted vehicle of the present invention can reasonably optimize the remaining mileage distribution of the gear. The present invention accurately calculates the gear coefficient based on the average current and the gear current limit value, realizes the reasonable distribution of the remaining mileage of each gear, enables users to clearly and accurately understand the use of electricity in different power-assisted gears, and facilitates the flexible adjustment of riding strategies according to actual needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 This is a structural principle diagram of the remaining mileage estimation system for an electric assisted vehicle of the present invention.

[0014] The reference numerals in the figure are controller 1 , sensor 2 , motor 3 , battery 4 , instrument 5 , additional equipment 6 , and bus 7 . DETAILED DESCRIPTION

[0015] The technical scheme of the present invention is clearly and completely described below through embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Example 1

[0016] A remaining mileage estimation system for an electric assisted vehicle comprises the following steps: after the electric assisted vehicle is started, the system fully starts the riding data recording function to accurately record key data such as the travel distance, consumed battery capacity, and riding time. For example, during a specific riding process, the vehicle travels 10 km, consumes 500 mAH of battery capacity, and the instantaneous power consumption P1=10 / 500=0.02 km / mAH.

[0017] Then calculate the average power consumption, the average power consumption P2, P2=S2 / C2, where S2 is the total mileage of the electric assisted vehicle, in kilometers, and C2 is the total battery capacity consumed by the electric assisted vehicle, in mAH; assuming that the total historical riding mileage stored in the vehicle is 200km, the total consumed battery capacity is 9000mAH, according to the average power consumption calculation formula, the average power consumption is P2=(S1+S2) / (C1+C2)=(10+200) / (500+9000)≈0.022 km / mAH.

[0018] Set the weighted coefficients A = 0.7, B = 0.3 (this coefficient can be adjusted and optimized according to actual needs and a large amount of riding test data). According to the comprehensive power consumption calculation formula, the comprehensive power consumption is calculated as P = 0.7*0.022+0.3*0.02=0.0214km / mAH.

[0019] Assuming that the current battery capacity is 8000mAH, according to the estimated mileage calculation formula, the estimated mileage is M1=Ct*P=8000*0.0214=171.2km.

[0020] Calculate the average speed. Assume that the average speed stored in the vehicle is 20 km / h, the stored riding mileage is 40 km, the preset driving speed V0 of the electric assisted vehicle is 25 km / h, and the reference value of the driving mileage is 6 km. Calculate the average speed according to the weighted calculation formula of the average speed: Va=(V0*S0+Vt*St) / (S0+St)=(25*6+20*40) / (6+40) ≈20.65 km / h.

[0021] Based on the consumed battery capacity of 500mAH, the total riding mileage of 10km and the calculated average speed, the average current is calculated to be Ia=500*20.65 / 10=1032mA.

[0022] Assuming that the current limiting value Is of the current assist gear is 1200mA, since the average current Ia is less than the gear current limiting value Is, the average current is estimated and calculated. The estimated current Ib is estimated as follows: Ib=Ia+(Is-Ia) >>3=1033 mA, (here “>>3” means shifting right by three bits, and the algorithm can be optimized according to actual conditions), and then the gear coefficient is calculated as μ=Ia / Ib=1032 / 1036≈0.9961.

[0023] The remaining mileage for this gear is calculated to be Mt=M1*μ=171.2∗0.9961=170.53km. Example 2

[0024] Based on Example 1, assuming that the correction factor is 0.98 (the correction factor can be adjusted according to actual tests and user feedback), the remaining mileage displayed by the final gear position is M=Mt*0.98=170.53*0.98=167.12km. Example 3

[0025] During another ride, the vehicle traveled 15 km and consumed 800 mAH of battery capacity. Calculate the instantaneous power consumption, P1 = S1 / C1 = 15 / 800 = 0.018 km / mAH.

[0026] Calculate the average power consumption. Assuming that the total historical riding mileage becomes 65km and the total consumption capacity becomes 3300mAH, the average power consumption is P2=(S1+S2) / (C1+C2)=(15+65) / (800+3300)=0.0195 km / mAH.

[0027] Similarly, take the weighting coefficients A = 0.7, B = 0.3, and calculate the comprehensive power consumption P = AP1 + BP2 = 0.7*0.0195+0.3*0.018=0.01365+0.0054=0.01905km / mAH.

[0028] Assuming the current battery capacity is 7500mAH, the estimated mileage is 7500*0.01905=142.88km.

[0029] Assume that the stored average speed becomes 22km / h, the stored riding mileage becomes 50km, the preset speed V0 of the electric assisted vehicle is 25km / h, and the reference value S0 of the mileage is 6km. Calculate the average speed according to the weighted calculation formula of the average speed: Va=(V0*S0+Vt*St) / (S0+St)=(25*6+22*50) / (6+50) ≈22.32 km / h.

[0030] The average current is calculated based on the consumed battery capacity and the total riding mileage as Ia=800*22.32 / 15 ≈1190mA.

[0031] Assuming that the current power-assist gear current limit value Is is 1000mA, because the average current Ia is greater than the gear current limit value Is, the estimated gear average current Ib is 1000mA, then the gear coefficient is μ=Ia / Ib=1190 / 1000=1.19.

[0032] The remaining mileage in this gear is Mt=142.88*1.19=170.03km.

[0033] Assuming the correction factor is 0.97, the remaining mileage displayed by the final gear is M=Mt*0.97=170.03*0.97=164.93km. Example 4

[0034] like Figure 1 As shown, the remaining mileage estimation system of the electric assisted vehicle of the present invention includes a controller 1, a sensor 2, a motor 3, a battery 4 and a meter 5. The positive and negative electrodes of the battery 4 are respectively connected to the positive and negative electrodes of the power supply of the controller 1, the U, V, and W phase lines of the controller 1 are respectively electrically connected to the corresponding terminals on the motor 3, the controller 1 is electrically connected to the interface signal of the motor 3, the meter 5 and the sensor 2 are electrically connected to the controller 1, and the data acquisition end of the controller 1 is respectively connected to the sensor 2, the meter 5 and the battery 4 through the bus 7.

[0035] The type of sensor 2 can be selected according to the application requirements of the electric assisted bicycle, for example, it can include a wheel speed sensor, a current sensor and a cadence sensor. The current sensor can be integrated in the controller, and the speed sensor and the cadence sensor are respectively connected to the controller electrical signal.

[0036] It also includes an additional device 6, which can be selected according to the application requirements of the electric assisted bicycle. For example, the additional device may include several types of IOT, auxiliary battery, auxiliary instrument, light module, and Bluetooth module. The additional device 6 is electrically connected to the controller 1 respectively.

[0037] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for estimating the remaining mileage of an electric assisted vehicle, characterized in that: It includes the following steps: S1. After the electric assisted bicycle is started, the system fully starts the riding data recording function to record the key riding data of the electric assisted bicycle, including the driving distance, battery consumption and riding time data; S2. Calculate the instantaneous power consumption of the electric assisted bicycle based on the recorded data. The instantaneous power consumption of the electric assisted bicycle is the mileage of the electric assisted bicycle that consumes 1mAH of battery capacity during the current riding process. The calculation formula is: P1=S1 / C1, where P1 is the instantaneous power consumption during the current ride, in km / mAH, S1 is the mileage during the current ride, in km, and C1 is the battery capacity consumed during the current ride, in mAH; S3. Calculate the average power consumption of the electric assisted vehicle based on the recorded historical data. The average power consumption of the electric assisted vehicle is the ratio of the total mileage of the electric assisted vehicle to the total battery capacity consumed, in units of Km / mAH, and the calculation formula is: P2= (S1+S2) / (C1+C2), where S2 is the total mileage of the electric assisted vehicle in history, in km, and C2 is the total battery capacity consumed by the electric assisted vehicle in history, in mAH; S4. According to the weighted coefficient, the comprehensive power consumption of the electric assisted vehicle is calculated using the calculated instantaneous power consumption and average power consumption. The comprehensive power consumption is the comprehensive power consumption obtained by weighted calculation of the instantaneous power consumption and the average power consumption using the weighted coefficient. The calculation formula is: P=AP1+BP2, where A is the weighted parameter of instantaneous power consumption, B is the weighted parameter of average power consumption, A+B=100%, and the unit of P is km / mAH; S5. Calculate the estimated mileage of the electric-assisted bicycle according to the current battery capacity data; the calculation formula for calculating the estimated mileage of the electric-assisted bicycle is: M1=Ct*P, where Ct is the remaining power of the electric assisted vehicle, in mAH; S6. Calculate the average speed of the electric-assisted vehicle according to the historical average speed and the historical riding mileage stored in the electric-assisted vehicle. The method for calculating the average speed of the electric-assisted vehicle is to use the historical average speed and the historical riding mileage of the electric-assisted vehicle stored in the electric-assisted vehicle and a preset reference value to calculate the average speed of the electric-assisted vehicle. The calculation formula is: Va=(V0*S0+Vt*St) / (S0+St), where V0 and S0 are the reference values ​​of the preset speed and mileage of the electric-assisted vehicle, in units of Km / h and Km respectively; Vt is the historical average speed of the electric-assisted vehicle, in units of Km / h; St is the historical riding mileage of the electric-assisted vehicle, in units of Km; S7, using the obtained average speed, according to the battery capacity currently consumed by the electric power-assisted vehicle and the riding mileage, calculate the average current of the electric power-assisted vehicle when it is running in the current power-assisted gear; the calculation formula is: Ia= C1*Va / S1, the unit of Ia is mA; S8, compare the calculated average current with the current limiting value of the current gear, and calculate the current gear coefficient of the electric power-assisted bicycle; if the average current Ia is greater than the current limiting value Is of the current gear, the estimated current is Ib=Is, and the gear coefficient is μ=Ia / Ib= Ia / Is; if the average current Ia is less than the current limiting value Is of the current gear, the average current is estimated to obtain the estimated current Ib, and the gear coefficient is μ=Ia / Ib; S9 calculates the remaining mileage of the electric assisted vehicle in this gear according to the gear coefficient and the estimated mileage. The calculation formula is: Mt=M1*μ.

2. The method for estimating the remaining mileage of an electric assisted vehicle according to claim 1, characterized in that: The method further includes step S10, wherein the remaining mileage obtained in step S9 is corrected using a correction factor, and the calculation formula is: M=Mt*K, where K is the correction factor.

3. The method for estimating the remaining mileage of an electric assisted vehicle according to claim 1, characterized in that: In step S8, the estimated current Ib is estimated by: Ib=Ia+(Is-Ia) >>3.

4. The method for estimating the remaining mileage of an electric assisted vehicle according to claim 1, characterized in that: In step S3, when the total mileage of the electric assisted vehicle is less than S0, an empirical value is introduced to calculate the average power consumption, and the calculation formula is: P2=(S2+Sx) / (C2+Cx), where Sx and Cx are empirical values, i.e., according to the empirical value, the amount of electricity consumed for every Sx mileage is Cx.

5. A system for estimating the remaining mileage of an electric assisted vehicle using the method for estimating the remaining mileage of an electric assisted vehicle according to any one of claims 1 to 4, characterized in that: It includes a controller, a sensor, a motor, a battery and an instrument. The positive and negative electrodes of the battery are respectively connected to the positive and negative electrodes of the controller's power supply, the U, V, and W phase lines of the controller are respectively electrically connected to the corresponding terminals on the motor, the controller is connected to the interface electrical signal of the motor, the instrument and the sensor are respectively connected to the controller electrical signal, and the data acquisition end of the controller is respectively connected to the sensor, the instrument and the battery through a bus.

6. The remaining mileage estimation system of an electric assisted vehicle according to claim 5, characterized in that: The sensors include a wheel speed sensor, a current sensor and a pedaling frequency sensor. The current sensor is integrated in the controller, and the speed sensor and the pedaling frequency sensor are respectively connected to the controller by electrical signals.

7. The remaining mileage estimation system of an electric assisted vehicle according to claim 5, characterized in that: It also includes additional devices, including several types of IOT, auxiliary battery, auxiliary instrument, light module, and Bluetooth module, and the additional devices are respectively connected to the controller with electrical signals.

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