KR100373023B1 - A method for making diagnosis on map sensor fault - Google Patents

A method for making diagnosis on map sensor fault Download PDF

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KR100373023B1
KR100373023B1 KR10-2000-0058690A KR20000058690A KR100373023B1 KR 100373023 B1 KR100373023 B1 KR 100373023B1 KR 20000058690 A KR20000058690 A KR 20000058690A KR 100373023 B1 KR100373023 B1 KR 100373023B1
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learning
map sensor
value
range
map
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KR10-2000-0058690A
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KR20020027913A (en
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신현진
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기아자동차주식회사
현대자동차주식회사
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02D—CONTROLLING COMBUSTION ENGINES
    • F02D41/00—Electrical control of supply of combustible mixture or its constituents
    • F02D41/22—Safety or indicating devices for abnormal conditions
    • F02D41/222—Safety or indicating devices for abnormal conditions relating to the failure of sensors or parameter detection devices
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02D—CONTROLLING COMBUSTION ENGINES
    • F02D41/00—Electrical control of supply of combustible mixture or its constituents
    • F02D41/24—Electrical control of supply of combustible mixture or its constituents characterised by the use of digital means
    • F02D41/2406—Electrical control of supply of combustible mixture or its constituents characterised by the use of digital means using essentially read only memories
    • F02D41/2425—Particular ways of programming the data
    • F02D41/2429—Methods of calibrating or learning
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02D—CONTROLLING COMBUSTION ENGINES
    • F02D2200/00—Input parameters for engine control
    • F02D2200/02—Input parameters for engine control the parameters being related to the engine
    • F02D2200/04—Engine intake system parameters
    • F02D2200/0406—Intake manifold pressure

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Measuring Fluid Pressure (AREA)

Abstract

MAP 센서 고장 유무를 정확하게 판단하기 위하여, MAP 센서로부터 센서값을 입력받아 상기 MAP 센서값이 학습 최소값 내지 학습 최대값의 학습범위 내인가 판단한 후, 학습범위 내인 경우에는 MAP 센서 정상으로 판정하고, 학습범위 내가 아닌 경우에는 상기 학습범위를 학습하고, MAP 센서 고장으로 판정하는 MAP 센서 고장 판정방법을 제공한다.In order to accurately determine whether there is a failure of the MAP sensor, it is determined whether the MAP sensor value is within the learning range of the learning minimum value or the learning maximum value by receiving a sensor value from the MAP sensor, and if the learning range is within the learning range, the MAP sensor is determined to be normal. If the range is not within the range, the learning range is learned, and a MAP sensor failure determination method for determining that the MAP sensor has failed is provided.

학습범위 학습은, MAP 센서값이 상기 학습 최대값을 초과하면 상기 학습 최대값을 상기 MAP 센서값으로 갱신하고, MAP 센서값이 상기 학습 최소값 미만이면 상기 학습 최소값을 MAP 센서값으로 갱신하는 것으로 할 수 있다.Learning range learning is to update the learning maximum value to the MAP sensor value when the MAP sensor value exceeds the learning maximum value, and to update the learning minimum value to the MAP sensor value when the MAP sensor value is less than the learning minimum value. Can be.

또한, 상기 MAP 센서값 입력받은 후 학습범위 내인가 판단하기 전에 상기 MAP 센서값이 설정 최소값 내지 설정 최대값의 설정범위 내인가 판단하여, 설정범위 내가 아닌 경우에는 MAP 센서 고장으로 판정하고, 설정범위 내인 경우에 한해 상기 학습범위 판단을 수행하도록 하는 것이 바람직하다.The MAP sensor value is determined to be within a setting range of a set minimum value or a set maximum value after determining that the MAP sensor value is within a learning range after receiving the MAP sensor value. It is preferable to perform the learning range determination only in the case of inside.

Description

엠에이피 센서 고장 판정방법{A METHOD FOR MAKING DIAGNOSIS ON MAP SENSOR FAULT}A METHOD FOR MAKING DIAGNOSIS ON MAP SENSOR FAULT}

본 발명은 MAP 센서(Manifold Absolute Pressure Sensor) 고장 판정방법에 관한 것으로, 더욱 상세하게는, MAP 센서에서 출력되는 출력값의 최대값 및 최소값을 학습하여, 상기 학습 최소값 및 학습 최대값을 이용하여 MAP 센서의 고장 유무를 판정하는 방법을 제공하는 것이다.The present invention relates to a failure determination method of a MAP sensor (Manifold Absolute Pressure Sensor), and more particularly, by learning the maximum value and the minimum value of the output value output from the MAP sensor, using the learning minimum value and the learning maximum value MAP sensor It is to provide a method for determining the presence or absence of a failure.

주지하는 바와 같이, 현대의 엔진은 전자제어유닛(ECU; Electronic Control Unit)이 엔진의 각종 센서들로부터 데이터를 입력받아 엔진의 동작 상태에 적합한 연료를 공급함으로써 엔진을 최적화된 상태로 제어하고 있다.As is well known, modern engines control an engine in an optimized state by an electronic control unit (ECU) receiving data from various sensors of the engine and supplying fuel suitable for the operating state of the engine.

따라서, 엔진을 적절히 제어하기 위해서는 엔진에 데이터를 제공하는 센서의고장유무를 판별하여, 센서의 고장이 생긴 경우에는 고장신호를 출력함으로써 정비를 할 수 있도록 하는 것이 중요하다.Therefore, in order to properly control the engine, it is important to determine whether or not there is a failure of a sensor that provides data to the engine and to perform maintenance by outputting a failure signal in the event of a sensor failure.

특히 엔진에 공급되는 공기유량을 측정하는 한 방식으로 MAP 센서(Manifold Absolute Pressure Sensor)를 이용하는 방식이 있으며, 이 MAP 센서 방식에서는 상기 MAP 센서에서 흡기 매니폴드 내의 흡기 압력을 측정하여 이를 통해 공기유량을 간접 계산하고 있다.In particular, one method of measuring the air flow rate supplied to the engine is a method using a MAP sensor (Manifold Absolute Pressure Sensor), in which the MAP sensor measures the intake air pressure in the intake manifold to determine the air flow rate Indirect calculation.

이러한 MAP 센서의 고장유무를 판정하기 위해서는 상기 MAP 센서가 출력할 수 있는 출력값의 최소값 및 최대값을 설정한 후 상기 설정 최소값 내지 설정 최대값의 범위를 벗어나는 출력값을 상기 MAP센서로부터 입력받는 경우에는, 상기 MAP 센서의 고장 또는 회로의 단선/단락으로 판정하고 있는 것이다.In order to determine whether there is a failure of the MAP sensor, when setting a minimum value and a maximum value of an output value that the MAP sensor can output, and receiving an output value that is outside the range of the set minimum value or the set maximum value from the MAP sensor, It is determined by the failure of the MAP sensor or the disconnection / short circuit of the circuit.

그런데, 상기와 같은 MAP 센서의 고장 판정방법은, 센서의 편차, 센서의 열화에 따른 특성 등은 고려하지 않고 상기 설정 최소값 내지 설정 최대값의 범위를 설정하여야 하므로, 설정범위가 지나치게 확대되어 단선/단락 등 센서 출력이 극한값을 출력하는 경우 외에는 고장 상황을 반영하기 힘들었다.However, in the failure determination method of the MAP sensor as described above, the range of the set minimum value to the set maximum value should be set without considering the deviation of the sensor and the characteristics caused by the deterioration of the sensor. It was difficult to reflect the failure situation except when the sensor output outputted an extreme value such as a short circuit.

따라서, 본 발명은 이와 같은 문제점을 해결하기 위한 것으로서, 본 발명의 목적은 MAP 센서에서 출력되는 출력값의 최대값 및 최소값을 학습하여, 상기 학습 최소값 및 학습 최대값을 이용하여 MAP 센서의 고장 유무를 판정하는 방법을 제공하는 것이다.Accordingly, the present invention is to solve such a problem, an object of the present invention to learn the maximum value and the minimum value of the output value output from the MAP sensor, by using the learning minimum value and the learning maximum value to determine whether there is a failure of the MAP sensor It is to provide a method for determining.

도 1은 MAP 센서가 매니폴드 절대 압력에 의하여 출력값을 출력하는 일예를 나타낸 그래프이다.1 is a graph illustrating an example in which the MAP sensor outputs an output value by an manifold absolute pressure.

도 2는 본 발명의 실시예에 의한 MAP 센서 고장 판정방법을 나타낸 흐름도이다.2 is a flowchart illustrating a MAP sensor failure determination method according to an embodiment of the present invention.

상기 목적을 달성하기 위하여 본 발명에 의한 MAP센서 고장 판정방법은, MAP 센서로부터 센서값을 입력받아 상기 MAP 센서값이 학습 최소값 내지 학습 최대값의 학습범위 내인가 판단한 후, 학습범위 내인 경우에는 MAP 센서 정상으로 판정하고, 학습범위 내가 아닌 경우에는 상기 학습범위를 학습하고, MAP 센서 고장으로 판정한다.In order to achieve the above object, the MAP sensor failure determination method according to the present invention receives a sensor value from a MAP sensor, determines whether the MAP sensor value is within a learning range of a learning minimum value or a learning maximum value, and then, if the learning range is within a learning range. If it is determined that the sensor is normal, and the learning range is not within the learning range, the learning range is learned to determine that the MAP sensor is broken.

학습범위 학습은, MAP 센서값이 상기 학습 최대값을 초과하면 상기 학습 최대값을 상기 MAP 센서값으로 갱신하고, MAP 센서값이 상기 학습 최소값 미만이면 상기 학습 최소값을 MAP 센서값으로 갱신하는 것으로 할 수 있다.Learning range learning is to update the learning maximum value to the MAP sensor value when the MAP sensor value exceeds the learning maximum value, and to update the learning minimum value to the MAP sensor value when the MAP sensor value is less than the learning minimum value. Can be.

또한, 상기 MAP 센서값 입력받은 후 학습범위 내인가 판단하기 전에 상기 MAP 센서값이 설정 최소값 내지 설정 최대값의 설정범위 내인가 판단하여, 설정범위 내가 아닌 경우에는 MAP 센서 고장으로 판정하고, 설정범위 내인 경우에 한해 상기 학습범위 판단을 수행하도록 하는 것이 바람직하다.The MAP sensor value is determined to be within a setting range of a set minimum value or a set maximum value after determining that the MAP sensor value is within a learning range after receiving the MAP sensor value. It is preferable to perform the learning range determination only in the case of inside.

이하, 본 발명의 일 실시예를 첨부된 도면의 의거하여 상세히 설명하면 다음과 같다.Hereinafter, an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

도 1은 MAP 센서가 매니폴드 절대 압력에 의하여 출력값을 출력하는 일예를 나타낸 그래프이다.1 is a graph illustrating an example in which the MAP sensor outputs an output value by an manifold absolute pressure.

도 1에 도시된 바와 같이, MAP 센서 출력값은 설정 최소값(Umin) 내지 설정 최대값(Umax) 내의 범위에서 출력된다.As shown in FIG. 1, the MAP sensor output value is output in a range within a set minimum value Umin to a set maximum value Umax.

상기 범위 내에서 실제 출력된 출력값의 범위는 학습을 통하여 학습 최소값(Ubmax) 내지 학습 최대값(Ubmin)의 범위로 ECU 내에 저장된다.The range of the output value actually output within the above range is stored in the ECU in the range of the learning minimum value Ubmax to the learning maximum value Ubmin through learning.

도 2는 본 발명의 실시예에 의한 MAP 센서 고장 판정방법을 나타낸 흐름도이다.2 is a flowchart illustrating a MAP sensor failure determination method according to an embodiment of the present invention.

본 발명의 실시예의 MAP 센서 고장 판정방법은 먼저, MAP 센서값(Ub)을 입력받은 후(S210), 상기 MAP 센서값(Ub)이 상기 설정 최소값(Umin) 내지 설정 최대값(Umax)의 범위 내인가 판단한다(S220).In the MAP sensor failure determination method of the embodiment of the present invention, first, after receiving the MAP sensor value (Ub) (S210), the MAP sensor value (Ub) is a range of the set minimum value (Umin) to the set maximum value (Umax). It is determined to be mine (S220).

상기 설정범위 판단(S220)에서, 설정범위 내가 아닌 경우에는 MAP 센서 고장으로 판정하고(S270) 종료한다.In the setting range determination (S220), if it is not within the setting range, it is determined as a failure of the MAP sensor (S270) and ends.

상기 설정범위 판단(S220)에서 설정범위 내인 경우에는 학습된 학습 최소값(Ubmin) 내지 학습 최대값(Ubmax)의 범위 내인가 판단한다(S230).If it is within the setting range in the setting range determination (S220), it is determined whether it is within the range of the learned learning minimum value Ubmin to the learning maximum value Ubmax (S230).

상기 학습 최소값(Ubmin) 및 학습 최대값(Ubmax)은 상기 MAP센서가 실제로 출력한 값들 중의 최소값 및 최대값을 말하는 것으로서, 본 발명의 실시예의 MAP 센서 고장 판정방법이 진행됨에 따라 계속 갱신(Update)되는 값이다.The learning minimum value Ubmin and the learning maximum value Ubmax refer to minimum values and maximum values of values actually output by the MAP sensor, and are continuously updated as the MAP sensor failure determination method of the embodiment of the present invention proceeds. Is a value.

상기 학습범위 판단(S230)에서 학습범위 내인 경우에는 MAP 센서 정상으로 판정(S280)하고 종료한다.If the learning range is determined within the learning range (S230), the MAP sensor is determined to be normal (S280) and ends.

상기 학습범위 판단(S230)에서 학습범위 내가 아닌 경우에는 MAP 센서 출력값(Ub)이 상기 학습 최대값(Ubmax)을 초과하는 경우에는 상기 학습 최대값(Ubmax)을 MAP 센서 출력값(Ub)으로 갱신하고, MAP 센서 출력값(Ub)이 상기 학습 최소값(Ubmin) 미만인 경우에는 상기 학습 최소값(Ubmin)을 MAP 센서 출력값(Ub)으로 갱신한다.If the learning range determination (S230) is not within the learning range, when the MAP sensor output value (Ub) exceeds the learning maximum value (Ubmax), the learning maximum value (Ubmax) is updated to the MAP sensor output value (Ub). When the MAP sensor output value Ub is less than the learning minimum value Ubmin, the learning minimum value Ubmin is updated to the MAP sensor output value Ub.

상기와 같이 갱신하기 위하여, MAP 센서 출력값(Ub)이 상기 학습최대값(Ubmax)을 초과하는지 판단하여(S240), 초과하는 경우에는 상기 학습 최대값(Ubmax)을 MAP 센서 출력값(Ub)으로 갱신하고(S250), 초과하지 않는 경우에는 상기 학습 최소값(Ubmin)을 MAP 센서 출력값(Ub)으로 갱신한다(S260).In order to update as described above, it is determined whether the MAP sensor output value Ub exceeds the learning maximum value Ubmax (S240), and when it exceeds, the learning maximum value Ubmax is updated to the MAP sensor output value Ub. If it is not exceeded (S250), the learning minimum value Ubmin is updated to the MAP sensor output value Ub (S260).

상기 갱신 과정에 의해 상기 학습 최소값(Ubmin) 및 학습 최대값(Ubmax)은 본 발명의 실시예의 MAP 센서 고장 판정방법이 진행됨에 따라 계속 갱신되는 것이며, 최초에 상기 학습 최소값(Ubmin) 및 학습 최대값(Ubmax)은 상기 설정 최소값(Umin) 내지 설정 최대값(Umax)의 범위 내에서 임의의 값으로 설정될 수 있다.The learning minimum value Ubmin and the learning maximum value Ubmax are continuously updated as the MAP sensor failure determination method of the embodiment of the present invention proceeds. Ubmax may be set to any value within the range of the set minimum value Umin to the set maximum value Umax.

상기와 같이 학습 최소값(Ubmin) 및 학습 최대값(Ubmax)을 갱신한 후에는 MAP 센서 고장으로 판정하고(S270), 종료한다.After updating the learning minimum value Ubmin and the learning maximum value Ubmax as mentioned above, it determines with MAP sensor failure (S270), and complete | finishes.

이상으로 본 발명의 MAP 센서 고장 판정방법에 관한 바람직한 실시예를 설명하였으나, 본 발명은 상기 실시예에 한정되지 아니하며, 본 발명의 실시예로부터 당해 발명이 속하는 기술분야에서 통상의 지식을 가진 자에 의한 용이하게 변경되어 균등하다고 인정되는 범위의 모든 변경을 포함한다.As described above, the preferred embodiment of the MAP sensor failure determination method of the present invention has been described, but the present invention is not limited to the above embodiment, and from the embodiments of the present invention to those skilled in the art to which the present invention pertains. It includes all changes in the range which are easily changed and considered equivalent.

본 발명의 실시예에 의하면, 최초 설정된 설정 최소값 내지 설정 최대값 범위를 벗어나는지 여부뿐만 아니라, 주행 이력에 의해 학습되는 학습 최소값 및 학습 최대값을 기초로 고장 유무를 판정할 수 있음으로 인하여, 센서간 편차를 고려한 정확한 판단을 할 수 있게 되고, 차량의 주행 거리가 축적되어 학습량이 증가함에 따라 정확도가 더욱 커지는 장점이 있다.According to an exemplary embodiment of the present invention, the presence or absence of a fault may be determined based on the learning minimum value and the learning maximum value learned by the driving history, as well as whether the first setting value is out of the range of the setting minimum value or the setting maximum value. It is possible to make an accurate determination in consideration of the deviation between the two, the accuracy is further increased as the learning distance is increased by accumulating the driving distance of the vehicle.

Claims (3)

(a) MAP 센서로부터 센서값을 입력받는 단계;(a) receiving a sensor value from a MAP sensor; (b) 상기 MAP 센서값이 설정 최소값 내지 설정 최대값의 설정범위 내인가 판단하는 단계;(b) determining whether the MAP sensor value is within a set range of a set minimum value and a set maximum value; (c) 상기 MAP 센서값이 상기 설정범위 내인 경우에, 상기 MAP 센서값이 학습 최소값 내지 학습 최대값의 학습범위 내인가 판단하는 단계;(c) determining whether the MAP sensor value is within a learning range of a learning minimum value or a learning maximum value when the MAP sensor value is within the setting range; (d) 상기(c)단계에서 상기 학습범위 내인 경우에, MAP 센서 정상으로 판정하는 단계;(d) determining that the MAP sensor is normal when the learning range is within the learning range in step (c); (e) 상기(c)단계에서 상기 학습범위 내가 아닌 경우에, 상기 학습범위를 학습하는 단계;(e) if the learning range is not within the learning range in step (c), learning the learning range; (f) 상기 (b) 단계에서 상기 MAP센서값이 상기 설정범위 내가 아니거나 상기 (e)단계에서 학습범위를 학습한 경우에, MAP 센서 고장으로 판정하는 단계;(f) determining that the MAP sensor has failed when the MAP sensor value is not within the set range in step (b) or when the learning range is learned in step (e); 를 포함하는 MAP 센서 고장 판정방법.MAP sensor failure determination method comprising a. 제1항에서,In claim 1, 상기(e)단계의 학습범위 학습은, MAP 센서값이 상기 학습 최대값을 초과하면 상기 학습 최대값을 상기 MAP 센서값으로 갱신하고, MAP 센서값이 상기 학습 최소값 미만이면 상기 학습 최소값을 MAP 센서값으로 갱신하는 것을 특징으로 하는 MAP 센서 고장 판정방법.In the learning range learning of step (e), if the MAP sensor value exceeds the learning maximum value, the learning maximum value is updated to the MAP sensor value, and if the MAP sensor value is less than the learning minimum value, the learning minimum value is MAP sensor. MAP sensor failure determination method, characterized in that for updating to a value. 삭제delete
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