JPH0465698A - Fault diagnostic device for sensor - Google Patents
Fault diagnostic device for sensorInfo
- Publication number
- JPH0465698A JPH0465698A JP17725990A JP17725990A JPH0465698A JP H0465698 A JPH0465698 A JP H0465698A JP 17725990 A JP17725990 A JP 17725990A JP 17725990 A JP17725990 A JP 17725990A JP H0465698 A JPH0465698 A JP H0465698A
- Authority
- JP
- Japan
- Prior art keywords
- sensor
- fault
- detection data
- failure
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000001514 detection method Methods 0.000 claims abstract description 22
- 238000005070 sampling Methods 0.000 claims abstract description 6
- 238000003745 diagnosis Methods 0.000 claims description 11
- 230000005856 abnormality Effects 0.000 abstract description 4
- 238000000034 method Methods 0.000 abstract description 3
- 238000004378 air conditioning Methods 0.000 description 6
- 230000002159 abnormal effect Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 230000007257 malfunction Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 1
Landscapes
- Measuring Temperature Or Quantity Of Heat (AREA)
Abstract
Description
【発明の詳細な説明】
［産業上の利用分野］
本発明は、例えば車両用空調装置に用いられている外気
温度センサや車内温度センサ等の故障診断装置に関する
。DETAILED DESCRIPTION OF THE INVENTION [Field of Industrial Application] The present invention relates to a failure diagnosis device for an outside temperature sensor, a vehicle interior temperature sensor, etc. used in, for example, a vehicle air conditioner.
［従来の技術〕
この種のセンサとしては一般に感熱抵抗素子が用いられ
ており、温度を電圧値として出力するようになっている
。従来、この種のセンサの故障診断は、出力電圧により
ショート（短絡）故障がオーブン（断線）故障かを判定
するだけであった。[Prior Art] This type of sensor generally uses a heat-sensitive resistance element, and outputs temperature as a voltage value. Conventionally, failure diagnosis for this type of sensor has simply been based on the output voltage to determine whether a short-circuit failure is an oven (disconnection) failure.
［発明が解決しようとする課題］
したがって、従来の故障診断では、中間領域ての故障や
異常を検出できず、ンステムの誤作動を防げない場合が
あった。[Problems to be Solved by the Invention] Therefore, conventional failure diagnosis cannot detect failures or abnormalities in the intermediate range, and may not be able to prevent system malfunctions.
本発明は、従来の故障診断では検出てきなかった中間領
域での故障を検出することのできるセンサの故障診断装
置を提供することを目的とする。SUMMARY OF THE INVENTION An object of the present invention is to provide a sensor failure diagnosis device that can detect failures in intermediate regions that have not been detected by conventional failure diagnosis.
［課題を解決するための手段］
本発明に係るセンサの故障診断装置は、上記の目的を達
成するため、第１Ｃに示すように、センサ１の検出信号
を所定時間毎にサンプリングする手段２と、サンプリン
グした検出データが前回サンプリングした検出データか
ら許容値以上外れた場合故障判定を下す手段３と、を具
備したことを特徴としている。[Means for Solving the Problems] In order to achieve the above object, the sensor failure diagnosis device according to the present invention includes means 2 for sampling the detection signal of the sensor 1 at predetermined time intervals, as shown in section 1C. , means 3 for making a failure determination when the sampled detection data deviates from the previously sampled detection data by more than an allowable value.
［作用］
本発明の゛故障診断装置によれば、今回の検出データが
前回の検出データから太き（外れた場合に、故障と判定
する。例えば、前回の検出温度が２５度であり、今回の
検出温度が１２度であったとすると、故障り定手段３が
、センサ１が故障していると判定する。[Function] According to the failure diagnosis device of the present invention, a failure is determined when the current detection data is thicker (deviates from the previous detection data).For example, if the previous detection temperature was 25 degrees, If the detected temperature is 12 degrees, the failure determining means 3 determines that the sensor 1 is malfunctioning.
故障と判定した場合は、例えば今回の検出データは用い
ずに、前回の検出データまたは予め用意した別のデータ
を検出データとして用いる。If it is determined that there is a failure, the current detection data is not used, but the previous detection data or another data prepared in advance is used as the detection data.
［実施例］ 以下、本発明の一実施例を図面を参照して説明する。[Example] Hereinafter, one embodiment of the present invention will be described with reference to the drawings.
第２図は実施例の故障診断装置を含む車両用空調システ
ムの一部構成を示している。この図において、センサ１
から出力されるアナログ信号は、Ａ／Ｄ変換器４により
デジタル値に変換されて、マイクロコンピュータ５に入
力されている。FIG. 2 shows a partial configuration of a vehicle air conditioning system including the failure diagnosis device of the embodiment. In this figure, sensor 1
The analog signal output from the microcomputer 5 is converted into a digital value by the A/D converter 4 and input to the microcomputer 5.
この場合のセンサ１は、外気温度または車内温度に対応
したアナログ信号を出力するもので、マイクロコンピュ
ータ５は、検出した外気温度または内気温度に基づいて
空調負荷を算出し、図示しない各種空調機器を制御して
車室内の温度制御を行う。In this case, the sensor 1 outputs an analog signal corresponding to the outside air temperature or the inside temperature of the car, and the microcomputer 5 calculates the air conditioning load based on the detected outside air temperature or inside air temperature, and operates various air conditioning equipment (not shown). control to control the temperature inside the vehicle.
マイクロコンピュータ５は、一定時間毎に第３図に例示
するルーチンを実行する。このルーチンの処理では、ス
テップ１０１の判断により、６０秒毎に次の処理を行う
。即ち、まずステップ１０２でセンサの検出値を今回の
検出データＴａ として取り込み（サンプリングし）
、ステップ１’０３て、前回の検出データＴａと今回の
検出データＴａ’ との差が許容値の１０度（ｄｅｇ
）を越えているか否かを判定し、１０度を越えていない
場合は正常状態、１０度を越えている場合は異常状態で
あると判定する。The microcomputer 5 executes the routine illustrated in FIG. 3 at regular intervals. In the processing of this routine, the following processing is performed every 60 seconds as determined in step 101. That is, first, in step 102, the detected value of the sensor is taken in (sampled) as the current detection data Ta.
, in step 1'03, the difference between the previous detection data Ta and the current detection data Ta' is 10 degrees (deg), which is the allowable value.
), and if it does not exceed 10 degrees, it is determined that it is in a normal state, and if it exceeds 10 degrees, it is determined that it is in an abnormal state.
つまり、６０秒間に検出値が１０度も変化するのは異常
であるとして、通常では起こり得ない値に判定値を決め
ている。したがって、サンプリング周期の６０秒と、判
定値の１０度は、センサの特性等により適宜決定される
。In other words, it is considered abnormal for the detected value to change by 10 degrees in 60 seconds, and the determination value is determined to be a value that cannot normally occur. Therefore, the sampling period of 60 seconds and the determination value of 10 degrees are determined as appropriate depending on the characteristics of the sensor and the like.
そして、ステップ１０３でセンサデータ正常と判定した
場合はステップ１０４に進み、ここで次回の判定用とし
て、ＴａにＴａ’ を設定する。If it is determined in step 103 that the sensor data is normal, the process proceeds to step 104, where Ta is set to Ta' for the next determination.
一方、ステップ１０３で異常と判定した場合、つまりＴ
ａ（前回のデータ）とＴａ’ （今回のデータ）との
差が１０度を越えた場合は、ステップ１０５に進んで故
障発生と判定し、故障処理を行う。即ち、ＴａＯ値を新
しい検出データで置き換えずに、そのままの値で更新し
保持する。そして、故障時の対策としては、故障表示を
行い、演算に用いる温度として、前回の検出データＴａ
または予め用意したデータ（例えば２５度）を設定する
。On the other hand, if it is determined to be abnormal in step 103, that is, T
If the difference between a (previous data) and Ta' (current data) exceeds 10 degrees, the process proceeds to step 105, where it is determined that a failure has occurred, and failure processing is performed. That is, the TaO value is not replaced with new detection data, but is updated and held as it is. As a countermeasure in the event of a failure, a failure is displayed and the previous detection data Ta is used as the temperature used for calculation.
Alternatively, set data prepared in advance (for example, 25 degrees).
以降は、この第３図のルーチンの後に、検出温度に基づ
いて空調負荷を演算し、その演算結果に基づいて空調制
御を行う。この点の詳細説明は省略する。Thereafter, after the routine shown in FIG. 3, the air conditioning load is calculated based on the detected temperature, and air conditioning control is performed based on the calculation result. A detailed explanation of this point will be omitted.
このように制御することに、より、センサが異常な出力
を発した場合に、空調制御状態を、異常が発生する前の
状態、あるいは予め設定した安、定状態に維持する。よ
って、車内環境が急激に悪化することもない。By controlling in this way, even if the sensor emits an abnormal output, the air conditioning control state is maintained at the state before the abnormality occurred or at a preset stable state. Therefore, the environment inside the vehicle does not deteriorate rapidly.
この点、従来のようにオープン故障、ショート故障しか
行わない場合、故障判定するまでの間に、検出値が下降
、あるいは上昇し、それに伴って制御内容がフルヒート
側あるいはフルクール側に変化して、実際に故障判定が
行われた時点で、制御状態がフルヒートあるいはフルク
ールに固定されてしまい、車内環境が急激に悪化するお
それがある。しかし、上記実施例によれば、そのような
現象を回避することができる。In this regard, if only open failures and short failures occur as in the past, the detected value will decrease or increase until a failure is determined, and the control content will change to the full heat side or the full cool side accordingly. When a failure determination is actually made, the control state is fixed at full heat or full cool, and there is a risk that the environment inside the vehicle will deteriorate rapidly. However, according to the above embodiment, such a phenomenon can be avoided.
なお、上記の実施例では、サンプリング周期を６０秒、
また正常な値から外れたとする許容値を１０度に設定し
ているが、センサの特性等に応じて、それらの値を上記
以外の値に設定しても勿論よい。また、本発明は温度セ
ンサに限らず、各種センサの故障診断にも勿論適用でき
る。In the above embodiment, the sampling period is 60 seconds,
Further, although the allowable value for deviation from the normal value is set to 10 degrees, it is of course possible to set these values to values other than the above depending on the characteristics of the sensor. Further, the present invention is of course applicable not only to temperature sensors but also to failure diagnosis of various types of sensors.
［発明の効果コ
以上説明したように、本発明の故障診断装置によれば、
センサ検出値が正常な挙動から外れた場合に故障と判定
するので、ショート故障、オープン故障の中間領域での
故障や異常を検出することができる。したがって、シス
テムの誤作動をより確実に防止することができる。[Effects of the Invention] As explained above, according to the fault diagnosis device of the present invention,
Since a failure is determined when the sensor detection value deviates from normal behavior, it is possible to detect failures and abnormalities in the intermediate range between short-circuit failures and open failures. Therefore, malfunction of the system can be more reliably prevented.
第１図は本発明の構成を示すブロック図、第２図は本発
明の一実施例の構成を示すブロック図、第３図は同実施
例における制御の流れを示すフローチャートである。
１・・・・・・センサ、２・・・・・・サンプリング手
段、３・・・・・・故障判定手段。FIG. 1 is a block diagram showing the configuration of the present invention, FIG. 2 is a block diagram showing the configuration of an embodiment of the present invention, and FIG. 3 is a flowchart showing the flow of control in the embodiment. 1...Sensor, 2...Sampling means, 3...Failure determination means.
Claims (1)
段と、サンプリングした検出データが前回サンプリング
した検出データから許容値以上外れた場合故障判定を下
す手段と、を具備したことを特徴とするセンサの故障診
断装置。A sensor failure diagnosis characterized by comprising means for sampling a sensor detection signal at predetermined time intervals, and means for determining a failure when the sampled detection data deviates from the previously sampled detection data by more than an allowable value. Device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP17725990A JPH0465698A (en) | 1990-07-06 | 1990-07-06 | Fault diagnostic device for sensor |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP17725990A JPH0465698A (en) | 1990-07-06 | 1990-07-06 | Fault diagnostic device for sensor |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| JPH0465698A true JPH0465698A (en) | 1992-03-02 |
Family
ID=16027946
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP17725990A Pending JPH0465698A (en) | 1990-07-06 | 1990-07-06 | Fault diagnostic device for sensor |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPH0465698A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102008030520B4 (en) * | 2007-07-02 | 2014-02-27 | GM Global Technology Operations LLC (n. d. Ges. d. Staates Delaware) | Control module and method for thermal protection of vehicle components |
| US9303579B2 (en) | 2012-08-01 | 2016-04-05 | GM Global Technology Operations LLC | System and method for monitoring a particulate filter in a vehicle exhaust aftertreatment device |
| CN109199124A (en) * | 2017-07-03 | 2019-01-15 | 佛山市顺德区美的电热电器制造有限公司 | Temperature sensing device detection method, device and cooking apparatus |
| DE112014002540B4 (en) | 2013-07-02 | 2019-03-21 | Scania Cv Ab | Device and method for detecting a defective NOx sensor |
| CN110702252A (en) * | 2019-11-12 | 2020-01-17 | 天津津航计算技术研究所 | Platinum resistance temperature measuring instrument with quick self-checking function |
| DE102018127764A1 (en) * | 2018-11-07 | 2020-05-07 | Bayerische Motoren Werke Aktiengesellschaft | Method, device, computer program and computer program product for checking a lambda sensor of a vehicle |
-
1990
- 1990-07-06 JP JP17725990A patent/JPH0465698A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102008030520B4 (en) * | 2007-07-02 | 2014-02-27 | GM Global Technology Operations LLC (n. d. Ges. d. Staates Delaware) | Control module and method for thermal protection of vehicle components |
| US9303579B2 (en) | 2012-08-01 | 2016-04-05 | GM Global Technology Operations LLC | System and method for monitoring a particulate filter in a vehicle exhaust aftertreatment device |
| DE102013214656B4 (en) | 2012-08-01 | 2023-08-03 | GM Global Technology Operations, LLC (n.d. Ges. d. Staates Delaware) | System and method for monitoring a particulate filter of an exhaust aftertreatment device |
| DE112014002540B4 (en) | 2013-07-02 | 2019-03-21 | Scania Cv Ab | Device and method for detecting a defective NOx sensor |
| CN109199124A (en) * | 2017-07-03 | 2019-01-15 | 佛山市顺德区美的电热电器制造有限公司 | Temperature sensing device detection method, device and cooking apparatus |
| DE102018127764A1 (en) * | 2018-11-07 | 2020-05-07 | Bayerische Motoren Werke Aktiengesellschaft | Method, device, computer program and computer program product for checking a lambda sensor of a vehicle |
| CN110702252A (en) * | 2019-11-12 | 2020-01-17 | 天津津航计算技术研究所 | Platinum resistance temperature measuring instrument with quick self-checking function |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US7136729B2 (en) | Supervisory diagnostics for integrated vehicle stability system | |
| US7445383B2 (en) | Method and device for diagnosing an external temperature sensor | |
| JPS6027905B2 (en) | Air conditioning control method | |
| JPH10176583A (en) | Throttle control device | |
| JP2007118701A (en) | Abnormality detection processor and abnormality detecting and processing method | |
| JPH0465698A (en) | Fault diagnostic device for sensor | |
| JP2004090920A (en) | Method and device for detecting variable amount of vehicle | |
| KR20090012456A (en) | Electrical isolation detection system and method for hybrid vehicle, electric vehicle, fuel cell vehicle | |
| EP1455320B1 (en) | Fire or overheating detection system | |
| JPH0494432A (en) | Abnormality detector of engine | |
| JPH0626894A (en) | Abnormality judging device | |
| WO2020012929A1 (en) | In-vehicle electronic control device | |
| JPH06100928B2 (en) | Robot degeneration control mechanism | |
| WO2021255991A1 (en) | Stereo camera | |
| JPH0293903A (en) | Abnormality processing system for fuzzy controller | |
| KR0144920B1 (en) | Error current detecting method for motor | |
| JPH11312288A (en) | Diagnostic method for sensor faults | |
| CN114670603A (en) | Heater dry burning prevention control method and device based on multiple sensors | |
| JPS62221910A (en) | Control device for vehicle air conditioner | |
| JP2576455B2 (en) | Controller and control system using the same | |
| JPH06332527A (en) | Fault detector for output valve | |
| JPH061133A (en) | Abnormality diagnosis system | |
| JPH01159454A (en) | Malfunction detector for exhaust gas recirculating temperature sensor | |
| JPH04314105A (en) | Controller for controlling device | |
| JPS6170614A (en) | Process monitor device |