CN110673036B - Vehicle fault early warning method and system based on OBD computing technology - Google Patents
Vehicle fault early warning method and system based on OBD computing technology Download PDFInfo
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- CN110673036B CN110673036B CN201910831237.7A CN201910831237A CN110673036B CN 110673036 B CN110673036 B CN 110673036B CN 201910831237 A CN201910831237 A CN 201910831237A CN 110673036 B CN110673036 B CN 110673036B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/005—Testing of electric installations on transport means
- G01R31/006—Testing of electric installations on transport means on road vehicles, e.g. automobiles or trucks
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/371—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] with remote indication, e.g. on external chargers
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/378—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
- G01R31/379—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator for lead-acid batteries
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
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- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
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.
Description
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.
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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 dataaAnd 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.
The first embodiment is that the battery of the vehicle is not provided with an engine room.
The vehicle obtains the basic service life of a specified battery of a cloud vehicle battery knowledge base system through an OBD device and a wireless network transmission device, the starting motor power of the specified vehicle is A (W), the power generation current and rotating speed function f (I, rpm) of a generator of the vehicle and the power generation current I (A) of the generator are input into a vehicle knowledge base, and the vehicle knowledge base data at least comprises the time that the OBD device obtains the installation time of the battery as M, the running time of an engine as T (hr), the rotating speed of the engine as r (rpm), the starting times of the motor and the like.
Firstly, the running time T (hr) of the vehicle engine, the engine speed r (rpm) and the generator generating current I (A) provided by an automobile manufacturer are collected by an OBD device, and the generator generating amount B (Ah) of the vehicle is calculated. The vehicle generator generates the electric energy of the vehicle in the time period (t1, t2)
Wherein f (I, rpm) is a function of the generator current and the rotation speed.
Then, the basic service life L of the storage battery is corrected according to the generated energy B (Ah) of the vehicle generator, the power A (W) of the vehicle starting motor and the starting times, and the method specifically comprises the following steps:
1) when B (Ah) > (A (W)/12V) > starting times, the basic service life L of the storage battery is increased by 0.5 day; when B (Ah) > (A (W)/12V) > starting times, the basic service life L of the storage battery is reduced by 1 day.
2) The OBD device corrects the basic service life value L of the batteryrInput into the vehicle knowledge base.
Finally, when the installed time M of the storage battery reaches the corrected basic service life early warning value L of the battery in the vehicle knowledge base dataa(La＝Lr95%), the OBD device issues a fault warning. The fault alarm can also be sent to a driver through a smart phone APP.
After the storage battery of the vehicle is replaced, the vehicle knowledge base uploads the actual service life (the installed time M of the storage battery) of the specified storage battery and the replaced storage battery information to the cloud vehicle storage battery knowledge base system through the wireless network transmission device. And the cloud vehicle battery knowledge base system updates the basic service life L of the appointed battery, and transmits the basic service life L of the replaced battery to the vehicle knowledge bases of other vehicles to update the basic service life of the battery, so that the actual service life of the battery in the vehicle knowledge base data is matched with the actual service condition.
The second embodiment is that the vehicle battery is installed in the engine room, and the attached figure 2 is a flow chart of the second embodiment.
In this embodiment, the vehicle battery is installed in the engine room, but because the temperature of the engine room is high and the temperature of the lead-acid battery electrolyte is too high, lead sulfate is deeply formed and is not easy to recover, so that the charging efficiency is reduced.
The vehicle obtains the basic service life of a specified battery of a cloud vehicle battery knowledge base system through an OBD device and a wireless network transmission device, the starting motor power of the specified vehicle is A (W), the power generation current and rotating speed function f (I, rpm) of a generator of the vehicle and the power generation current I (A) of the generator are input into a vehicle knowledge base, and the vehicle knowledge base data at least comprises the time that the OBD device obtains the installation time of the battery as M, the running time of an engine as T (hr), the rotating speed of the engine as r (rpm), the starting times of the motor and the like.
Firstly, the running time T (hr) of the vehicle engine, the engine speed r (rpm) and the generator generating current I (A) collected by an OBD device are used for calculating the generating capacity B (Ah) of the vehicle generator. It can be calculated that the vehicle generator generates the amount of power of the vehicle during the time period (t1, t2)
Wherein f (I, rpm) is a function of the generator current and the rotation speed.
Setting the charging efficiency E of the vehicle engine to be 85% when the inlet air temperature of the engine room is higher than 60 ℃; when the intake air temperature is equal to or lower than 60 ℃, the charging efficiency E of the vehicle engine is set to 100%. The engine compartment intake air temperature is read by an OBD device.
Then, the basic service life L of the storage battery is corrected according to the generated energy B (Ah) of the vehicle generator, the power A (W) of the vehicle starting motor, the starting times, the charging efficiency E and the air inlet temperature collected by the OBD device, and the method comprises the following specific steps:
1) when B (Ah) E > (A (W)/12V) starting times, the basic service life L of the storage battery is increased by 0.5 day; when B (Ah) E > (A (W)/12V) starting times, the basic service life L of the storage battery is reduced by 1 day.
2) OBD will revise the basic life L of the batteryrInput into the vehicle knowledge base.
When the installed time M of the storage battery reaches the corrected basic service life early warning value L of the battery in the vehicle knowledge base system dataa(La＝Lr95%), the OBD device issues a fault warning. The fault alarm can also be sent to a driver through a smart phone APP.
After the storage battery of the vehicle is replaced, the vehicle knowledge base uploads the actual service life (the installed time M of the storage battery) of the specified storage battery and the replaced storage battery information to the cloud vehicle storage battery knowledge base system through the wireless network transmission device. And the cloud vehicle battery knowledge base system updates the basic service life L of the appointed battery, and transmits the basic service life L of the replaced battery to the vehicle knowledge bases of other vehicles to update the basic service life of the battery, so that the actual service life of the battery in the vehicle knowledge base data is matched with the actual service condition.
The above embodiments are only intended to illustrate the technical solution of the present invention and not to limit the same, and a person skilled in the art can modify the technical solution of the present invention or substitute the same without departing from the spirit and scope of the present invention, and the scope of the present invention should be determined by the claims.
Claims (9)
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 a 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, wherein when the storage battery is not provided with an engine room, the basic service life of the storage battery is corrected through the following strategy;
2.1) when the power generation capacity of the vehicle generator (power of the vehicle starting motor/12V) is increased by the starting times, the basic service life of the storage battery is prolonged;
2.2) when the power generation of the vehicle generator is less (the power of the vehicle starting motor/12V) and the starting times are counted, the basic service life of the storage battery is reduced;
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
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; (t1, t2) is a period of time for calculating the amount of power generated by the vehicle generator, the generator power generation current and engine speed function being provided by the automobile manufacturer.
5. 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.
6. The method of claim 1 or 5, wherein the calculation method for correcting the basic life of the battery when the battery is installed in an engine compartment is:
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.
7. 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.
8. 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.
9. 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, wherein when an engine room is not installed in the storage battery, the basic life of the storage battery is corrected through the following strategy;
2.1) when the power generation capacity of the vehicle generator (power of the vehicle starting motor/12V) is increased by the starting times, the basic service life of the storage battery is prolonged;
2.2) when the power generation of the vehicle generator is less (the power of the vehicle starting motor/12V) and the starting times are counted, the basic service life of the storage battery is reduced;
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.
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Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101389971A (en) * | 2006-02-28 | 2009-03-18 | 松下电器产业株式会社 | Battery service life judging device and battery service life judging method |
| CN102057289A (en) * | 2008-07-02 | 2011-05-11 | 松下电器产业株式会社 | Life span estimation method for a lead acid battery and a power supply system |
| CN102175978A (en) * | 2011-02-21 | 2011-09-07 | 华为技术有限公司 | Method and device for detecting battery service life |
| WO2012091077A1 (en) * | 2010-12-28 | 2012-07-05 | 三洋電機株式会社 | Battery degradation level detection method |
| CN103048992A (en) * | 2013-01-16 | 2013-04-17 | 张燕 | Method and system for remote monitoring and cloud diagnosis of automobile faults |
| CN104502856A (en) * | 2014-12-26 | 2015-04-08 | 骐俊通联（厦门）科技有限公司 | Method and system for detecting vehicle storage battery service life |
| CN104714179A (en) * | 2013-12-12 | 2015-06-17 | 中南大学 | Method for estimating battery life based on alternating-current impedance spectrum |
| CN105046088A (en) * | 2015-08-10 | 2015-11-11 | 彩虹无线（北京）新技术有限公司 | Knowledge base-based automobile remote intelligent diagnosis method and system |
| JP2016133513A (en) * | 2015-01-22 | 2016-07-25 | 三星電子株式会社Ｓａｍｓｕｎｇ Ｅｌｅｃｔｒｏｎｉｃｓ Ｃｏ．，Ｌｔｄ． | Battery-state estimation method and battery-state estimation apparatus |
| CN106227200A (en) * | 2016-09-19 | 2016-12-14 | 常熟米豆智能设备科技有限公司 | A kind of automobile on-line fault diagnosis method |
| CN106680720A (en) * | 2015-11-11 | 2017-05-17 | 中国移动通信集团公司 | On-board battery failure early warning system and method based on Internet of Vehicles |
| CN108146343A (en) * | 2016-12-02 | 2018-06-12 | 财团法人资讯工业策进会 | Early warning system and method for early warning |
| CN108446864A (en) * | 2018-04-10 | 2018-08-24 | 广州新科佳都科技有限公司 | The fault early warning system and method for Transit Equipment based on big data analysis |
| CN108594124A (en) * | 2018-04-03 | 2018-09-28 | 广东小天才科技有限公司 | Battery service life detection method and electronic equipment |
| CN109164396A (en) * | 2018-09-21 | 2019-01-08 | 华北电力大学（保定） | A kind of real-time ferric phosphate lithium cell life consumption appraisal procedure |
| CN109444763A (en) * | 2018-11-12 | 2019-03-08 | 福建工程学院 | A kind of automobile storage battery fault early warning system and method based on OBD and car networking |
| CN109484204A (en) * | 2018-11-19 | 2019-03-19 | 北京长城华冠汽车科技股份有限公司 | Vehicle and the method, apparatus for preventing battery pack over-discharge |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3616528B2 (en) * | 1999-08-30 | 2005-02-02 | Ｎｅｃインフロンティア株式会社 | Secondary battery life determination method and apparatus, and recording medium recording a secondary battery life determination program |
| CN102221678A (en) * | 2011-05-17 | 2011-10-19 | 重庆长安汽车股份有限公司 | On-line life calculation method for battery system |
| JP2014081238A (en) * | 2012-10-15 | 2014-05-08 | Sony Corp | Battery deterioration and service life estimation method, battery deterioration and service life estimation device, electric vehicle and power supply device |
| CN106058987B (en) * | 2016-06-29 | 2018-11-06 | 浙江万马新能源有限公司 | Electric vehicle charging method based on accumulator group monitoring and fault diagnosis and device |
| CN107219463B (en) * | 2017-05-12 | 2019-11-12 | 浙江工业大学 | Battery prediction technique based on battery truck status data |
| KR102441800B1 (en) * | 2017-10-12 | 2022-09-13 | 오씨아이 주식회사 | Method and apparatus for estimating state of health of battery |
-
2019
- 2019-09-04 CN CN201910831237.7A patent/CN110673036B/en not_active Expired - Fee Related
Patent Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101389971A (en) * | 2006-02-28 | 2009-03-18 | 松下电器产业株式会社 | Battery service life judging device and battery service life judging method |
| CN102057289A (en) * | 2008-07-02 | 2011-05-11 | 松下电器产业株式会社 | Life span estimation method for a lead acid battery and a power supply system |
| WO2012091077A1 (en) * | 2010-12-28 | 2012-07-05 | 三洋電機株式会社 | Battery degradation level detection method |
| CN102175978A (en) * | 2011-02-21 | 2011-09-07 | 华为技术有限公司 | Method and device for detecting battery service life |
| CN103048992A (en) * | 2013-01-16 | 2013-04-17 | 张燕 | Method and system for remote monitoring and cloud diagnosis of automobile faults |
| CN104714179A (en) * | 2013-12-12 | 2015-06-17 | 中南大学 | Method for estimating battery life based on alternating-current impedance spectrum |
| CN104502856A (en) * | 2014-12-26 | 2015-04-08 | 骐俊通联（厦门）科技有限公司 | Method and system for detecting vehicle storage battery service life |
| JP2016133513A (en) * | 2015-01-22 | 2016-07-25 | 三星電子株式会社Ｓａｍｓｕｎｇ Ｅｌｅｃｔｒｏｎｉｃｓ Ｃｏ．，Ｌｔｄ． | Battery-state estimation method and battery-state estimation apparatus |
| CN105046088A (en) * | 2015-08-10 | 2015-11-11 | 彩虹无线（北京）新技术有限公司 | Knowledge base-based automobile remote intelligent diagnosis method and system |
| CN106680720A (en) * | 2015-11-11 | 2017-05-17 | 中国移动通信集团公司 | On-board battery failure early warning system and method based on Internet of Vehicles |
| CN106227200A (en) * | 2016-09-19 | 2016-12-14 | 常熟米豆智能设备科技有限公司 | A kind of automobile on-line fault diagnosis method |
| CN108146343A (en) * | 2016-12-02 | 2018-06-12 | 财团法人资讯工业策进会 | Early warning system and method for early warning |
| CN108594124A (en) * | 2018-04-03 | 2018-09-28 | 广东小天才科技有限公司 | Battery service life detection method and electronic equipment |
| CN108446864A (en) * | 2018-04-10 | 2018-08-24 | 广州新科佳都科技有限公司 | The fault early warning system and method for Transit Equipment based on big data analysis |
| CN109164396A (en) * | 2018-09-21 | 2019-01-08 | 华北电力大学（保定） | A kind of real-time ferric phosphate lithium cell life consumption appraisal procedure |
| CN109444763A (en) * | 2018-11-12 | 2019-03-08 | 福建工程学院 | A kind of automobile storage battery fault early warning system and method based on OBD and car networking |
| CN109484204A (en) * | 2018-11-19 | 2019-03-19 | 北京长城华冠汽车科技股份有限公司 | Vehicle and the method, apparatus for preventing battery pack over-discharge |
Non-Patent Citations (5)
| Title |
|---|
| An Observer-Based Fault Diagnosis in Battery Systems of Hybrid Vehicles;Günyaz Ablay;《2013 8th International Conference on Electrical and Electronics Engineering (ELECO)》;20140116;全文 * |
| Estimating the life of stationary lithium-ion batteries in use through charge and discharge testing;Keita Takahashi;《 2014 IEEE 36th International Telecommunications Energy Conference (INTELEC)》;20141204;全文 * |
| 一种改进的锂离子电池剩余寿命预测算法;张金;《电子技术应用》;20150814;第41卷(第8期);全文 * |
| 燃料电池汽车混合度与能量管理策略研究;宋昱;《交通科技与经济》;20190325;第21卷(第2期);全文 * |
| 锂离子电池充电方法及寿命预测研究;刘汉雨;《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》;20150315;全文 * |
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