CN110857962A - Battery performance evaluation method - Google Patents
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- CN110857962A CN110857962A CN201810939301.9A CN201810939301A CN110857962A CN 110857962 A CN110857962 A CN 110857962A CN 201810939301 A CN201810939301 A CN 201810939301A CN 110857962 A CN110857962 A CN 110857962A
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Abstract
The invention relates to the field of electric motorcycles, in particular to a method for predicting the performance of a battery for an electric motorcycle. A battery performance evaluation method comprises the steps of setting a weight coefficient occupied by a plurality of actual use parameters, a service life corresponding to each actual use parameter and a battery replacement threshold; comparing each actual use parameter with the service life, and weighting to obtain a battery performance predicted value; and comparing the predicted value of the battery performance with a battery replacement threshold value, wherein if the predicted value of the battery performance exceeds the battery replacement threshold value, the battery needs to be replaced. The influence of the driving mileage, the charging and discharging times and the service time on the battery performance is comprehensively considered, the replacement frequency and the maintenance time of the battery are finally determined, the quantitative evaluation on the battery performance is realized, and a user can more accurately master the actual state of the battery; simultaneously, still utilize the decay coefficient of battery as the standard that the battery was changed, utilize APP in time to inform the user to change the battery, further guaranteed user's interests, promoted the visual performance of battery.
Description
Technical Field
The invention relates to the field of electric motorcycles, in particular to a method for predicting the performance of a battery for an electric motorcycle.
Background
The power of the electric motorcycle is supplied by the battery in the electric motorcycle, and the battery in the existing electric motorcycle is provided with a control panel in order to realize intelligent control. The control panel is usually provided with a plurality of sensors, which can monitor the position, electric quantity, temperature, charge and discharge state and the like of the battery in real time and control the battery through a preset program. Although the state of the battery can be monitored to a certain extent, the prior art does not have a mode for predicting the actual performance of the battery, so that the evaluation of the performance of the battery can be only realized according to the initially set service life and the initially set driving mileage, and the mode is not favorable for after-sale confirmation and the evaluation of the actual performance of the battery, and some batteries which do not need to be replaced can be replaced, thereby causing resource waste; therefore, a more accurate and quantitative determination of the actual performance of the battery is needed.
Disclosure of Invention
The invention aims to solve the technical problem of providing a battery performance evaluation method, which comprehensively considers the influence of driving mileage, charging and discharging times and service time on the battery performance, finally determines the replacement frequency and the maintenance time of the battery, realizes quantitative evaluation on the battery performance, enables a user to more accurately grasp the actual state of the battery, and can timely inform the user of replacing the battery by using APP, and improves the visual performance of the battery.
The invention is realized by the following steps: a method for evaluating the performance of battery features that the state of battery is monitored by control board,
firstly, setting weight coefficients occupied by a plurality of actual use parameters, service lives corresponding to the actual use parameters and a battery replacement threshold value;
then, after comparing each actual use parameter with the service life, weighting to obtain a battery performance predicted value;
and finally, comparing the battery performance predicted value with a battery replacement threshold value, wherein if the battery performance predicted value exceeds the battery replacement threshold value, the battery needs to be replaced.
The control panel exchanges data with the cloud server through the communication module, and the mobile phone app is connected with the cloud server to monitor the state of the battery in real time.
When the battery needs to be replaced, the control board sends information to the mobile phone app through the cloud server to prompt a user to replace the battery.
The actual use parameters comprise the service life, the charging and discharging times and the driving mileage.
The service life weight coefficient is 0.3, the charge and discharge frequency weight coefficient is 0.4, and the mileage weight coefficient is 0.3.
The actual use parameters also comprise an electric quantity monitoring module which is used for setting the initial capacity and the battery attenuation threshold value of the battery, the electric quantity monitoring module is used for deducing the current maximum electric quantity of the battery by using the current, the voltage and the time during charging/discharging, the current maximum electric quantity is compared with the initial capacity to obtain the battery attenuation coefficient, and when the battery attenuation coefficient exceeds the battery attenuation threshold value, the battery needs to be replaced.
When the battery needs to be replaced, the control board sends information to the mobile phone app through the cloud server to prompt a user to replace the battery.
The battery performance evaluation method comprehensively considers the influence of the driving mileage, the charging and discharging times and the service time on the battery performance, finally determines the replacement frequency and the maintenance time of the battery, realizes the quantitative evaluation on the battery performance, and enables a user to more accurately master the actual state of the battery; simultaneously, still utilize the decay coefficient of battery as the standard that the battery was changed, utilize APP in time to inform the user to change the battery, further guaranteed user's interests, promoted the visual performance of battery.
Drawings
Fig. 1 is a topological diagram of an application environment of the battery performance evaluation method of the present invention.
Detailed Description
The invention will be further illustrated with reference to the following specific examples. It should be understood that these examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Furthermore, it should be understood that various changes and modifications can be made by one skilled in the art after reading the description of the present invention, and equivalents fall within the scope of the invention defined by the appended claims.
Example 1
As shown in fig. 1, in order to enhance intelligent communication between a user and a battery, a battery performance evaluation method monitors a state of the battery through a control board, the control board exchanges data with a cloud server through a communication module, and a mobile app establishes connection with the cloud server to monitor the state of the battery in real time;
when the battery performance evaluation was performed: firstly, setting weight coefficients occupied by a plurality of actual use parameters, service lives corresponding to the actual use parameters and a battery replacement threshold value;
in this embodiment, the actual usage parameters include the age, the number of charging and discharging, and the mileage; preferably, the service life weight coefficient is 0.3, the charge/discharge frequency weight coefficient is 0.4, the mileage weight coefficient is 0.3, and the battery replacement threshold value is set to 0.5; the service life of each actually used battery is respectively 5 years of year limit service life, 2000 times of charge and discharge times and 20 kilometers of driving mileage; the number of charging and discharging times is counted by adding the charging and discharging amount from 0 to 100% to one time, for example: two charges were performed, and each charge from 50% to 100% was recorded as one charge and discharge.
Then, after comparing each actual use parameter with the service life, weighting to obtain a battery performance predicted value;
taking a certain battery use condition as an example: the electric motorcycle where the battery is located runs for about 8 kilometers in a cumulative way within 3 years of actual use, and is charged and discharged for about 700 times;
predicted value of battery performance is 0.3 × (8/20) +0.3 × (3/5) +0.4 × (800/2000) ═ 0.44
Finally, comparing the battery performance predicted value with a battery replacement threshold value, wherein if the battery performance predicted value exceeds the battery replacement threshold value, the battery needs to be replaced;
in this embodiment, 0.44 is less than 0.5 so the battery does not have to be replaced.
When the battery needs to be replaced, the control board sends information to the mobile phone app through the cloud server to prompt a user to replace the battery.
In the invention, the actual use parameters also comprise an electric quantity monitoring module which is used for setting the initial capacity and the attenuation threshold value of the battery, the electric quantity monitoring module is used for deducing the current maximum electric quantity of the battery by using the current, the voltage and the time during charging/discharging, the current maximum electric quantity is compared with the initial capacity to obtain the attenuation coefficient of the battery, and when the attenuation coefficient of the battery exceeds the attenuation threshold value of the battery, the battery needs to be replaced;
in this embodiment, the initial capacity of the battery is 72V80Ah, the set battery damping threshold is 0.8, and when the average amount of electricity charged in the last five times is 4.5 kw, the battery damping coefficient is 4.5/5.76, 0.78 < 0.8, so the battery needs to be replaced.
At the moment, the control panel with the good battery sends information to the mobile phone app through the cloud server to prompt the user to replace the battery.
Claims (7)
1. A battery performance evaluation method monitors the state of a battery through a control board, and is characterized in that:
firstly, setting weight coefficients occupied by a plurality of actual use parameters, service lives corresponding to the actual use parameters and a battery replacement threshold value;
then, after comparing each actual use parameter with the service life, weighting to obtain a battery performance predicted value;
and finally, comparing the battery performance predicted value with a battery replacement threshold value, wherein if the battery performance predicted value exceeds the battery replacement threshold value, the battery needs to be replaced.
2. The battery performance evaluation method according to claim 1, characterized in that: the control panel exchanges data with the cloud server through the communication module, and the mobile phone app is connected with the cloud server to monitor the state of the battery in real time.
3. The battery performance evaluation method according to claim 2, characterized in that: when the battery needs to be replaced, the control board sends information to the mobile phone app through the cloud server to prompt a user to replace the battery.
4. The battery performance evaluation method according to claim 1 or 2, characterized in that: the actual use parameters comprise the service life, the charging and discharging times and the driving mileage.
5. The battery performance evaluation method according to claim 4, wherein: the service life weight coefficient is 0.3, the charge and discharge frequency weight coefficient is 0.4, and the mileage weight coefficient is 0.3.
6. The battery performance evaluation method according to claim 4, wherein: the actual use parameters also comprise an electric quantity monitoring module which is used for setting the initial capacity and the battery attenuation threshold value of the battery, the electric quantity monitoring module is used for deducing the current maximum electric quantity of the battery by using the current, the voltage and the time during charging/discharging, the current maximum electric quantity is compared with the initial capacity to obtain the battery attenuation coefficient, and when the battery attenuation coefficient exceeds the battery attenuation threshold value, the battery needs to be replaced.
7. The battery performance evaluation method according to claim 6, wherein: when the battery needs to be replaced, the control board sends information to the mobile phone app through the cloud server to prompt a user to replace the battery.
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| CN201810939301.9A CN110857962A (en) | 2018-08-17 | 2018-08-17 | Battery performance evaluation method |
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| CN201810939301.9A CN110857962A (en) | 2018-08-17 | 2018-08-17 | Battery performance evaluation method |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112212224A (en) * | 2020-10-15 | 2021-01-12 | 海盐于通管件制造有限公司 | Pipeline water leakage detection method |
| CN112668852A (en) * | 2020-12-22 | 2021-04-16 | 东软睿驰汽车技术（沈阳）有限公司 | Method and device for evaluating influence of user usage behavior on battery pack aging |
| CN113281656A (en) * | 2021-05-20 | 2021-08-20 | 北京现代汽车有限公司 | Method and device for determining health degree of battery |
| CN114035056A (en) * | 2021-11-30 | 2022-02-11 | 蜂巢能源(上海)有限公司 | Power battery performance detection method, device and equipment |
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| CN114035056A (en) * | 2021-11-30 | 2022-02-11 | 蜂巢能源(上海)有限公司 | Power battery performance detection method, device and equipment |
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