阅读说明：本技术 基于obd计算技术的车辆故障预警方法及系统 (Vehicle fault early warning method and system based on OBD computing technology ) 是由 陈玺煌 肖云 谢莉 于 2019-09-04 设计创作，主要内容包括：本发明提供一种基于OBD计算技术的车辆故障预警方法及系统,本方法通过云端车辆电瓶知识库系统获取电瓶基本寿命；通过OBD装置以及汽车制造商提供的参数计算修正后电瓶基本寿命；当电瓶已安装时间达到车辆知识库数据中的修正后电池基本寿命的预警值时,OBD装置发出故障预警。本方法在电瓶故障情况即将发生时,可对驾驶提出警告,即刻进行维修,提高行车安全,并使用OBD与云端车辆电瓶知识库系统预测车辆电瓶的更换时机,降低驾驶人不必要的金钱花费与抛锚风险。(The invention provides a vehicle fault early warning method and system based on an OBD (on-board diagnostics) computing technology, wherein the method obtains the basic service life of a storage battery through a cloud vehicle storage battery knowledge base system; calculating the basic service life of the corrected storage battery through the OBD device and parameters provided by an automobile manufacturer; and when the mounted time of the storage battery reaches the early warning value of the basic service life of the corrected battery in the vehicle knowledge base data, the OBD device sends out fault early warning. The method can warn driving when the storage battery fault condition is about to occur, immediately maintain the storage battery, improve driving safety, predict the replacement time of the storage battery of the vehicle by using the OBD and the cloud vehicle storage battery knowledge base system, and reduce unnecessary money cost and anchor risk of a driver.)

1. A vehicle fault early warning method based on an OBD computing technology comprises the following steps:

1) calculating the power generation capacity of a vehicle generator according to parameters provided by an automobile manufacturer and vehicle engine data acquired by an OBD device;

2) correcting the basic service life of the storage battery according to the generated energy of the vehicle generator, the power of a vehicle starting motor and the starting times, and inputting the corrected basic service life of the storage battery into a vehicle knowledge base;

3) and when the mounted time of the storage battery reaches the early warning value of the basic service life of the corrected battery in the vehicle knowledge base data, the OBD device sends out fault early warning.

2. The method of claim 1, wherein the parameters provided by the automotive manufacturer and the battery life cycle data are obtained via a cloud vehicle battery knowledge base system; the cloud vehicle battery knowledge base system comprises a battery part service life knowledge base established according to the brand, the year, the type and the use condition of the vehicle and the data of a Bosch database and according to statistical empirical values; the data in the battery part service life knowledge base can be dynamically changed along with the increase of the use cases.

3. The method of claim 1, wherein the parameter provided by the vehicle manufacturer is generator current; the vehicle engine data includes engine on time and engine speed.

4. The method of claim 1, wherein the vehicle generator power generation is calculated as

the generator current and engine speed functions are provided by the automotive manufacturer.

5. The method of claim 1, wherein the calculation method for correcting the basic life of the battery is as follows:

1) when the power generation amount of a vehicle generator (power of a vehicle starting motor/12V) is increased by the starting times, the basic service life of the storage battery is prolonged;

2) when the power generation amount of the vehicle generator is less than (the power of the vehicle starting motor/12V) and the starting times are counted, the basic service life of the storage battery is reduced.

6. The method of claim 1, wherein the OBD device collects an intake air temperature of the engine when the battery is installed in the engine compartment and sets the corresponding charging efficiency according to the intake air temperature.

7. The method of claim 1 or 6, wherein the calculation method for correcting the basic life of the battery is as follows:

1) when (the power generation capacity of the vehicle generator is charged with efficiency) > (the power of the vehicle starting motor/12V) is started with times, the basic service life of the storage battery is prolonged;

2) when the number of times of starting (the power generation capacity of the vehicle generator is charged) and the number of times of starting (the power of the vehicle starting motor is 12V), the basic service life of the battery is reduced.

8. The method of claim 1, wherein the OBD device sends the collected driving data and the determined fault early warning information to a cloud vehicle battery knowledge base system through a wireless network transmission device; and the OBD device or the wireless network transmission device sends the fault early warning information to a driver.

9. The method of claim 1, wherein the vehicle knowledge base is updated after a vehicle has replaced a battery, and the battery life expectancy is reset based on a cloud vehicle battery knowledge base system.

10. A vehicle fault early warning system based on OBD computing technology includes:

1) the vehicle generator generating capacity calculating module is used for calculating the generating capacity of the vehicle generator according to parameters provided by an automobile manufacturer and vehicle engine data acquired by the OBD device;

2) the storage battery basic life correcting module is used for correcting the basic life of the storage battery according to the generated energy of a vehicle generator, the power of a vehicle starting motor and the starting times, and inputting the corrected basic life of the storage battery into a vehicle knowledge base;

3) and the OBD device fault early warning module is used for sending out fault early warning when the mounted time of the storage battery reaches an early warning value of the basic service life of the corrected battery in the vehicle knowledge base data.

Technical Field

The invention relates to the technical field of transport vehicles, in particular to a vehicle fault early warning method and system based on an OBD computing technology.

Background

The present vehicle has On-Board Diagnostics (OBD) in-vehicle electronic systems from an engine, a transmission and an in-vehicle electronic system, but there are still many devices On the vehicle, such as a battery, whose performance cannot be effectively monitored, and there are almost no signs before the battery fails. At present, the industry can only implement preventive maintenance and replacement, but the vehicle types, driving habits and driving conditions are greatly different, and the parts cannot be replaced at the right time.

Although automobile maintenance factories have 'storage battery efficiency testers', the storage battery efficiency testers all belong to professional equipment, general users cannot detect at any time, and detection results cannot provide an early warning function.

Disclosure of Invention

In order to overcome the defects, the invention discloses a vehicle fault early warning method and system based on an OBD (on-board diagnostics) calculation technology, which can enable a driver to know whether a vehicle battery part is abnormal or not in advance.

The technical scheme adopted by the invention is as follows:

a vehicle fault early warning method based on an OBD computing technology comprises the following steps:

1. calculating the power generation capacity of a vehicle generator according to parameters provided by an automobile manufacturer and vehicle engine data acquired by an OBD device;

2. correcting the basic service life of the storage battery according to the generated energy of the vehicle generator, the power of a vehicle starting motor and the starting times, and inputting the corrected basic service life of the storage battery into a vehicle knowledge base;

3. and when the mounted time of the storage battery reaches the early warning value of the basic service life of the corrected battery in the vehicle knowledge base data, the OBD device sends out fault early warning.

Further, parameters provided by the automobile manufacturer and the basic service life data of the battery are obtained through a cloud vehicle battery knowledge base system; the cloud vehicle battery knowledge base system comprises a battery part service life knowledge base established according to the brand, the year, the type and the use condition of the vehicle and the data of the Bosch database and the statistical empirical value. The data in the battery part service life knowledge base can be dynamically changed along with the increase of the use cases.

Further, the parameter provided by the automobile manufacturer is generator generating current; the vehicle engine data includes engine on time and engine speed.

Further, the vehicle generator power generation amount is calculated as

Wherein, B (Ah) is the electric quantity of the generator, and f (I, rpm) is the function of the generating current of the generator and the rotating speed of the engine; the generator current and engine speed functions are provided by the automotive manufacturer.

Further, the calculation method for correcting the basic service life of the battery comprises the following steps:

1) when the power generation amount of a vehicle generator (power of a vehicle starting motor/12V) is increased by the starting times, the basic service life of the storage battery is prolonged;

2) when the power generation amount of the vehicle generator is less than (the power of the vehicle starting motor/12V) and the starting times are counted, the basic service life of the storage battery is reduced.

Further, when the storage battery is installed in the engine room, the OBD device gathers the engine intake air temperature to according to the difference of intake air temperature, set for corresponding efficiency of charging.

Further, the calculation method for correcting the basic service life of the battery comprises the following steps:

1) when (the power generation capacity of the vehicle generator is charged with efficiency) > (the power of the vehicle starting motor/12V) is started with times, the basic service life of the storage battery is prolonged;

2) when the number of times of starting (the power generation capacity of the vehicle generator is charged) and the number of times of starting (the power of the vehicle starting motor is 12V), the basic service life of the battery is reduced.

Further, the OBD device transmits the collected driving data and the judged fault early warning information to a cloud vehicle storage battery knowledge base system through a wireless network transmission device; and the wireless network transmission device sends the fault early warning information to a driver.

Further, after the storage battery of the vehicle is replaced, the vehicle knowledge base is updated, and the basic service life of the storage battery is reset according to the cloud vehicle storage battery knowledge base system.

A vehicle fault early warning system based on OBD computing technology includes:

1. the vehicle generator generating capacity calculating module is used for calculating the generating capacity of the vehicle generator according to parameters provided by an automobile manufacturer and vehicle engine data acquired by the OBD device;

2. the storage battery basic life correcting module is used for correcting the basic life of the storage battery according to the generated energy of a vehicle generator, the power of a vehicle starting motor and the starting times, and inputting the corrected basic life of the storage battery into a vehicle knowledge base;

3. and the OBD device fault early warning module is used for sending out fault early warning when the mounted time of the storage battery reaches an early warning value of the basic service life of the corrected battery in the vehicle knowledge base data.

The invention provides a vehicle fault early warning method and system based on an OBD (on-board diagnostics) computing technology, wherein an OBD device is combined with a cloud vehicle battery knowledge base system, the battery parts are analyzed according to actual driving conditions acquired by the OBD and data in a vehicle knowledge base, and if a fault condition is about to occur, a warning can be given to driving, so that the driving safety is maintained immediately, and the driving safety is improved. And the OBD and the cloud vehicle battery knowledge base system are used for predicting the replacement time of the vehicle battery, so that unnecessary money cost and anchoring risk of a driver are reduced.

Drawings

Fig. 1 is a block diagram of a vehicle fault early warning system based on an OBD computing technology.

FIG. 2 is a flow chart of an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more clear, the present invention is further described in detail below with reference to specific embodiments and accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

Referring to fig. 1, the present invention provides a cloud vehicle battery knowledge base system, which includes a battery part life knowledge base established according to the data of the vehicle, such as the brand, year, type, usage condition, and Bosch database, and the data in the knowledge base can dynamically change with the increase of the number of use cases. The service life knowledge base of the battery parts sets an initial value of the basic service life L of the battery appointed by the vehicle knowledge base system according to the use specifications of various battery manufacturers. Under special conditions, a storage battery early warning algorithm can be adopted, the self-discharge of the lead-acid battery is calculated by 0.1% per day according to a Bosch database, and the basic service life of the automobile storage battery is 30 months. Therefore, initial values of basic service lives L of various storage batteries, which are appointed by the vehicle knowledge base system, can be obtained preliminarily and stored in the storage battery part service life knowledge base, and the initial values of the basic service lives of the storage batteries can be weighted and updated according to the actual basic service lives of the storage batteries of the vehicles connected with the system by the cloud-end vehicle storage battery knowledge base system. For example, if there are 100 vehicle money with the symbol a, where L is 30 for 85 vehicles reported back to the cloud vehicle battery repository system, and L is 25 for 15 vehicles reported back to the cloud vehicle battery repository system, L of the cloud vehicle battery repository system is updated to (30 × 85+28 × 15)/100 — 29.7.

The method comprises the steps of collecting data such as the installation time of a storage battery on a vehicle, the running time T (hr) of a vehicle engine, the engine rotating speed r (rpm), the engine starting times, the engine chamber air inlet temperature and the like through an OBD device of the vehicle.

The OBD device inputs the generator generated current and the rotational speed function (not provided by the car manufacturer, refer to the ISBN 13: 9787568213493 of the BOSCH automobile engineer (chinese version 4), the publisher: publisher of beijing rationalaman), the generator generated current i (a), and the starting motor power a (w) lamp data provided by the car manufacturer in the cloud vehicle battery knowledge base system into the vehicle knowledge base through the wireless network transmission device. The wireless network transmission device is a smart phone, and a driver can check data in the cloud vehicle battery jar knowledge base system and the vehicle knowledge base through an APP (application) preinstalled in the smart phone.

Firstly, the OBD device calculates the power generation amount B (Ah) of the vehicle generator through the running time T (hr) of the vehicle engine, the rotating speed r (rpm) of the engine and the power generation current I (A) of the generator; then, according to the generated energy of the vehicle generator, the power of a vehicle starting motor and the starting times, the basic service life of the storage battery is corrected and input into a vehicle knowledge base; finally, when the service life parameter of the storage battery reaches the basic service life early warning value L of the storage battery in the vehicle storage battery knowledge base data_aAnd when the vehicle is in a driving state, the OBD device gives out a fault early warning to the driver.

The driving data that the OBD device gathered and the trouble early warning information who judges, accessible wireless network transmission device send to high in the clouds vehicle storage battery knowledge base system, update the data in vehicle storage battery part life-span knowledge base. The wireless network transmission device can also send the fault early warning information to the driver.

The driver checks the data in the vehicle knowledge base or the cloud vehicle battery jar knowledge base system through the wireless transmission device or the OBD device.

Similarly, other vehicles provided with the system can also send the driving data of the vehicle and the judged fault early warning information to the cloud vehicle storage battery knowledge base system through the wireless network transmission device.

The cloud vehicle storage battery knowledge base system can periodically inform all vehicles provided with the system to update the vehicle storage battery knowledge base data of the vehicle.