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CN111993855A - Method of monitoring air quality in a passenger compartment and related system - Google Patents

Method of monitoring air quality in a passenger compartment and related system Download PDF

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Publication number
CN111993855A
CN111993855A CN202010439567.4A CN202010439567A CN111993855A CN 111993855 A CN111993855 A CN 111993855A CN 202010439567 A CN202010439567 A CN 202010439567A CN 111993855 A CN111993855 A CN 111993855A
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passenger compartment
carbon dioxide
parameter
passenger
resp
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马鲁安·米拉迪
奥马尔·本阿卜杜拉齐兹
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Faurecia Interieur Industrie SAS
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60HARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
    • B60H1/00Heating, cooling or ventilating [HVAC] devices
    • B60H1/00642Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
    • B60H1/00735Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models
    • B60H1/008Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models the input being air quality
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60HARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
    • B60H1/00Heating, cooling or ventilating [HVAC] devices
    • B60H1/00642Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
    • B60H1/00735Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models
    • B60H1/00742Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models by detection of the vehicle occupants' presence; by detection of conditions relating to the body of occupants, e.g. using radiant heat detectors

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  • Physics & Mathematics (AREA)
  • Thermal Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Air-Conditioning For Vehicles (AREA)

Abstract

The invention relates to a method of monitoring air quality in a passenger compartment and a related system. The invention relates to a method for monitoring the air quality in the passenger compartment of a vehicle, comprising the following steps: -measuring at least one parameter (Nb, F) related to carbon dioxide emission in the passenger compartmentresp、f(VT) Based on at least one parameter (Nb, F) related to carbon dioxide emissions in the passenger compartmentresp、f(VT) To estimate the carbon dioxide emission in the passenger compartment, measuring a parameter (C (CO)) related to the carbon dioxide concentration in the passenger compartment at a given moment2)t0) And-calculating an estimate of the carbon dioxide level (C (CO) in the passenger compartment at a future moment in time2)t1 est)。

Description

Method of monitoring air quality in a passenger compartment and related system
[ technical field ] A method for producing a semiconductor device
The invention relates to a method of monitoring air quality in a passenger compartment of a vehicle.
[ background of the invention ]
It is estimated that 10% to 30% of traffic accidents are associated with drowsiness while driving. Therefore, a major challenge in road safety is to prevent such a drowsy state.
A study published on the web site of the state department of health of wisconsin introduced the potential impact of carbon dioxide at various concentrations on human health. In particular, concentrations of carbon dioxide between 1000ppm and 2000ppm (parts per million concentration, here carbon dioxide molecules per million molecules constituting the air of the passenger compartment) are associated with complaints of drowsiness, while concentrations between 2000ppm and 5000ppm are associated with headaches and sleepiness.
Thus, monitoring the air quality in the passenger compartment of the vehicle, in particular with respect to the concentration of carbon dioxide, makes it possible to prevent a drowsy state of the driver.
US 20080147271 describes a system provided for determining the presence and health status of passengers in a passenger compartment. The system includes a sensor of, for example, the amount or concentration of carbon dioxide.
However, this system is only provided for determining the health status of passengers in the passenger compartment. In particular, the system is unable to take precautions relating to the status of the passenger.
[ summary of the invention ]
The object of the present invention is therefore to propose a method for monitoring the air quality in the passenger compartment of a vehicle which makes it possible to integrate preventive measures relating to drowsiness while driving and to ensure maintenance of a good condition.
To this end, the invention relates to a monitoring method of the above-mentioned type, comprising the following steps:
-measuring at least one parameter related to carbon dioxide emissions in the passenger compartment,
-estimating the carbon dioxide emission in the passenger compartment based on at least one parameter related to the carbon dioxide emission in the passenger compartment,
-measuring a parameter related to the carbon dioxide concentration in the passenger compartment at a given moment, and
-calculating an estimate of the carbon dioxide level in the passenger compartment at a future time instant.
An estimate of the carbon dioxide level in the passenger compartment at a future time enables a prediction of changes in the air quality, which may affect the state of the passengers, in particular the driver, in the passenger compartment. Such a method thus enables preventive measures relating to drowsiness while driving to be carried out.
The monitoring method may also be provided with one or more of the following features considered individually or according to all possible technical combinations:
-estimating the carbon dioxide emissions in the passenger compartment comprises estimating the carbon dioxide emissions of each passenger in the passenger compartment;
-estimating the carbon dioxide emissions in the passenger compartment comprises the step of calculating the breathing frequency of each passenger in the passenger compartment;
-estimating the carbon dioxide emissions in the passenger compartment comprises the step of estimating the carbon dioxide emitted by each passenger through breathing;
-the method comprises a step of calculating or measuring the volume or mass of each passenger in the passenger compartment, the estimation of the carbon dioxide emitted by each passenger in the passenger compartment through breathing being based on said volume or mass of said passenger;
-at least one parameter related to carbon dioxide emissions in the passenger compartment is the number of passengers in the passenger compartment of the vehicle and their respective breathing frequency and their respective mass or volume, and wherein said at least one parameter is measured by a single sensor;
-the single sensor is a radio frequency imaging sensor;
-the radio frequency imaging sensor operates at a frequency between 76GHz and 81 GHz; and/or
-the method comprises the step of carrying out one or more preventive measures if the level of carbon dioxide in the passenger compartment at the future moment is greater than a predetermined future level; and/or the step of carrying out one or more reaction measures if the parameter correlated with the amount of carbon dioxide in the passenger compartment at a given moment is greater than a predetermined current parameter.
The invention also relates to a system for monitoring the air quality in the passenger compartment of a vehicle, comprising
A sensor adapted to measure at least one parameter related to the carbon dioxide concentration in the passenger compartment at a given moment in time,
-a single sensor, preferably a radio frequency imaging sensor, adapted to measure at least one parameter related to carbon dioxide emissions in the passenger compartment, and
a calculator provided for estimating the carbon dioxide emission in the passenger compartment based on at least one parameter related to the carbon dioxide emission in the passenger compartment and calculating an estimate of the carbon dioxide level in the passenger compartment at a future time instant.
[ description of the drawings ]
Further characteristics and advantages of the invention will emerge from the detailed description given below, by way of reference and in no way by way of limitation, with reference to the accompanying figure 1, which figure 1 shows a schematic view of the principle of an embodiment of the method according to the invention.
[ detailed description ] embodiments
An embodiment of a method of monitoring air quality in a passenger compartment of a vehicle according to the invention will now be described with reference to the figure.
Here, the air quality is related to the carbon dioxide concentration in the passenger compartment air, which is denoted as C (CO)2)。
For example, air having a carbon dioxide concentration of 1000ppm or less is considered to be of good quality, while air having a carbon dioxide concentration of 1000ppm or more is considered to be of poor quality.
The monitoring method is suitable for use in a passenger compartment provided with an air quality monitoring system.
The system comprises at least one sensor for at least one parameter correlated to the concentration of carbon dioxide in the passenger compartment at a given moment, here more specifically a sensor of the concentration of carbon dioxide in the air of the passenger compartment at said sensor, denoted C (CO)2)t0
The sensor for the parameter related to the carbon dioxide concentration in the passenger compartment is, for example, a gas sensor.
The sensor is, for example, combined with Sensirion
Figure BDA0002503577260000041
Technical infrared detection sensors. This enables, in particular, a very accurate measurement of the carbon dioxide concentration.
Alternatively, the sensor is a non-dispersive infrared sensor.
The system also includes at least one sensor for at least one parameter related to carbon dioxide emissions in the passenger compartment.
The at least one sensor is capable of measuring a number of occupants in the passenger compartment, a parameter related to a respiratory rate of one or more occupants in the passenger compartment of the vehicle, and/or a parameter related to a tidal volume (volume tidal), i.e., a volume mobilized by the one or more occupants during respiration.
For a parameter f (V) related to the tidal volume of the passengerT) For example a sensor for the volume or mass of the one or more passengers.
Tidal volume V of healthy passengersTIn relation to its mass, it can be estimated based on its volume, since the approximate density of humans and animals is substantially equal to the density of water.
Here, "volume of the passenger" means the total volume occupied by the passenger.
Tidal volume V of a healthy adult with a mass of 75 kgTFor example estimated to be 500 mL.
In a particular embodiment, the system comprises a single sensor provided for measuring one or all parameters related to carbon dioxide emissions in the passenger compartment.
More specifically, the system comprises a single sensor able to measure the number Nb of passengers in the passenger compartment of the vehicle, their respective breathing frequency FrespAnd their respective masses or volumes f (V)T)。
Here, the single sensor is a radio frequency imaging sensor.
Here, the radio frequency imaging sensor operates at a frequency between 76GHz and 81 GHz.
Such a sensor is particularly advantageous in that it enables, in particular, all the parameters required to estimate the carbon dioxide emissions of the passengers in the passenger compartment to be measured. Furthermore, the measurement results are independent of the ambient conditions, such sensors being able to work in particular in the day or at night without the need for minimum brightness. This enables, in particular, a low power consumption, since such sensors do not require additional lighting, for example infrared electroluminescent diodes, at night.
In addition, such sensors have an image quality between 1.0cm and 2.5cm per pixel.
Therefore, such sensors cannot identify the passenger by analyzing the recorded images, which enables the anonymity of the photographed passenger to be maintained.
In an alternative embodiment, the at least one sensor for at least one parameter related to carbon dioxide emissions comprises at least one micro-motion sensor of one or more passengers. Such data may be analyzed in order to detect patterns of micro-motion corresponding to the respiratory cycle. Such a sensor then enables the number of passenger(s) in the passenger compartment and their respective breathing frequency F to be calculatedresp
In an alternative embodiment, the sensor for the parameter related to the respiration rate is a piezoelectric sensor.
The system also includes a calculator.
The calculator can be programmed to calculate the parameter C (CO) for the concentration of carbon dioxide in the passenger compartment2)t0And from parameters Nb, F relating to carbon dioxide emissions in the passenger compartmentresp、f(VT) The at least one sensor receives data.
As described below, the calculator is also capable of performing an estimation of the carbon dioxide emission in the passenger compartment and a calculation of an estimated value of the carbon dioxide level in the passenger compartment at a future time.
The monitoring method comprises the following steps:
-measuring at least one parameter related to carbon dioxide emissions in the passenger compartment,
-estimating the carbon dioxide emission in the passenger compartment based on at least one parameter related to the carbon dioxide emission in the passenger compartment,
-measuring a parameter related to the carbon dioxide concentration in the passenger compartment at a given moment, and
-calculating an estimate of the carbon dioxide level in the passenger compartment at a future time instant.
Estimating carbon dioxide emissions in a passenger compartmentAmount of the additive (here, m (CO2) by mass)prod) Comprising the step of estimating carbon dioxide emissions of one or more passengers in the passenger compartment.
Here, the estimation of the carbon dioxide emission in the passenger compartment is performed by the aforementioned system calculator.
More specifically, in estimating the carbon dioxide emissions in the passenger compartment, the emissions are considered to include (and, here, to consist of) the estimated emissions of each passenger present in the passenger compartment.
The estimated emission of carbon dioxide in the passenger compartment is here equal to the sum of the estimated emissions of each passenger present in the passenger compartment.
Estimating carbon dioxide emitted by each passenger includes calculating a respiratory frequency F of each passengerrespThe step (2).
More specifically, a parameter related to the breathing frequency is measured for each passenger by a sensor for at least one parameter related to carbon dioxide emissions. The parameter is transmitted to a calculator for calculating the breathing frequency F based on the parameterresp
In a particular embodiment, said parameter is directly the breathing frequency Fresp
Estimating the carbon dioxide emitted by each passenger further comprises the step of estimating the carbon dioxide emitted by the breath of each passenger in the passenger compartment.
More specifically herein, the sensor for at least one parameter related to carbon dioxide emissions measures a parameter related to tidal volume of each passenger in the passenger compartment. Transmitting data comprising the measurement of the parameter to a calculator.
Estimating a tidal volume V for each passenger based on the parametersT
In this example, the sensor measures the volume of the passenger. As previously mentioned, the calculator can estimate the passenger's tidal volume V based on the passenger's volumeT
The amount of carbon dioxide inhaled is considered negligible compared to the amount of carbon dioxide exhaled during breathing.
Inhaled air comprises on average, for example, 0.04% carbon dioxide, whereas exhaled air comprises on average 4% carbon dioxide.
Under normal conditions of temperature and pressure, where the temperature is equal to 0 ℃ and the pressure is equal to one atmosphere, 101325 Pa, the density of carbon dioxide is 1.842kg/m3
Thus, it is estimated that the amount of carbon dioxide (by mass) m (CO) emitted by the passenger per breath2)respIs equal to its estimated tidal volume VTMultiplied by the fraction of carbon dioxide in exhaled air (here 4%), where the density of carbon dioxide is μ (CO)2) Namely:
[ mathematical formula 1]
Figure BDA0002503577260000071
The formula is here pre-configured in the system calculator.
For example, it is estimated that a healthy adult of 75 kg emits carbon dioxide per breath [ mathematical formula 2 ]]
Figure BDA0002503577260000072
I.e., 36.84 mg.
The method then comprises the step of calculating a parameter related to the carbon dioxide emitted by each passenger over time.
The parameter relating to the carbon dioxide emitted by each passenger over time is, for example, an estimate (here in mass) of the rate at which the passenger emits carbon dioxide, v (CO)2)pers
Discharge rate (in mass) v (CO) of carbon dioxide discharged by one of passengers over time2)persIs equal to the amount of carbon dioxide (by mass) m (CO) emitted by the passenger in each breath2)respWith its respiratory frequency FrespThe product of (a) and (b), namely:
[ mathematical formula 3]v(CO2)pers=m(CO2)pesp×Fresp
The formula is here pre-configured in the system calculator.
For example, it is estimated that a healthy adult of 75 kg has a respiratory rate of 15 respiratory cycles per minute with an hourly carbon dioxide emission of about 33 grams.
The emission speed (in mass) v (CO) of the carbon dioxide emitted into the passenger compartment is then estimated, for example by summing2)est. For example, in the passenger compartment of two healthy 75 kg adults with a breathing rate of 15 respiratory cycles per minute, 66 grams of carbon dioxide are emitted per hour.
In an embodiment, the method includes estimating a change in carbon dioxide concentration Δ C (CO) in the passenger compartment by dividing the estimated emission of carbon dioxide in the passenger compartment by a volume of the passenger compartment2)est
In this case, for example, the volume V of the passenger compartment is measured or calculated and allocated in advance in a system computerhab
The measurement of a parameter related to the carbon dioxide concentration in the passenger compartment is carried out at a given moment, here by means of at least one sensor for said parameter described in connection with the system.
In the example described herein, the parameter relating to the concentration of carbon dioxide in the passenger compartment at a given moment is the concentration of carbon dioxide in the passenger compartment air C (CO) at the corresponding at least one sensor2)t0
Said measurement is for example performed in parallel with the step of estimating the carbon dioxide emission in the passenger compartment.
Transmitting data from the corresponding sensors to a calculator, said data comprising a parameter C (CO) related to the concentration of carbon dioxide in the passenger compartment measured at a given moment2)t0
The calculator then calculates an estimate of the carbon dioxide level in the passenger compartment at a future time.
The future time is, for example, a time that is separated from the given time by a certain time interval. The time interval is adapted, for example, according to the number of passengers, the outside temperature, possible activities in the passenger compartment, etc.
The level of carbon dioxide in the passenger compartment at a future time is determined, for example, by the carbon dioxide concentration C (CO) in the passenger compartment at said future time2)t1 estAs defined.
As an example and in a simplified manner, without scavenging, the carbon dioxide concentration C (CO) estimated at a future moment is calculated as follows2)t1 est: carbon dioxide concentration C (CO) at a given time2)t0And the sum of the product of the emission rate of carbon dioxide (by mass) v (CO)2)estDivided by the volume V of the passenger compartmenthabMultiplied by the time interval.
The mass concentration is taken into account here. Alternatively, molar or particle concentrations are considered.
Alternatively, the estimated carbon dioxide concentration C (CO) at a future time without ventilation2)t1 estIs calculated as the carbon dioxide concentration C (CO) at a given moment2)t0And the sum of the product of the estimated change in the carbon dioxide concentration Δ C (CO) in the passenger compartment2)estProduct of the time interval.
Alternatively, one or more ventilations are provided between a given time and a future time, so that the carbon dioxide concentration C (CO) from the given time is2)t0Calculating an estimated carbon dioxide concentration C (CO) at a future time2)t1 estThe ventilation is taken into account.
The method further comprises the following steps: parameter C (CO) relating a given moment to the amount of carbon dioxide in the passenger compartment2)t0With predetermined current parameters Ct0 tolA comparison is made.
The predetermined current parameter corresponds here to a limit value of a parameter which at a given moment is related to the amount of carbon dioxide in the passenger compartment, for example to a given particle concentration of carbon dioxide, here more specifically equal to 1000 ppm.
Parameter C (CO) correlated to the amount of carbon dioxide in the passenger compartment2)t0Where it follows the carbon dioxide in the passenger compartmentIncreases in amount.
Parameter C (CO) when correlated with the quantity of carbon dioxide in the passenger compartment measured at a given moment2)t0Less than or equal to, alternatively strictly less than, a predetermined current parameter Ct0 tolWhen it is, the air quality is considered to be good.
Parameter C (CO) when correlated with the quantity of carbon dioxide in the passenger compartment measured at a given moment2)t0Strictly greater than, alternatively greater than or equal to a predetermined current parameter Ct0 tolWhen the air quality is lowered, the air quality is considered to be lowered.
The method includes, for example: parameter C (CO) when correlated with the quantity of carbon dioxide in the passenger compartment measured at a given moment2)t0Strictly greater than, alternatively greater than or equal to a predetermined current parameter Ct0 tolOne or more steps of reacting the two or more reactants are performed.
The one or more reactive measures include one or more of the following measures: opening at least one window between a passenger compartment of the vehicle and an exterior of the vehicle, deactivating an air recirculation function of the passenger compartment of the air conditioning device, activating forced ventilation to increase an exchange air flow, and/or alerting passengers of the passenger compartment, for example visually or audibly on an instrument panel.
The method also includes estimating a carbon dioxide level C (CO) in the passenger compartment at a future time2)t1 estWith a predetermined future level Ct1 tolAnd performing comparison.
Predetermined future level Ct1 tolHere, the limit value for the carbon dioxide level in the passenger compartment corresponds, for example, to a given particle concentration of carbon dioxide, here more specifically to 1000 ppm.
Estimated carbon dioxide level C (CO) in passenger compartment at future time2)t1 estLess than or equal to, alternatively strictly less than, a predetermined future level Ct1 tolThe estimated air quality at the future time is considered good.
Estimated carbon dioxide level in passenger compartment at future timeC(CO2)t1 estStrictly greater than, alternatively greater than or equal to, a predetermined future level Ct1 tolThe estimated air quality at a future time is considered to be degraded.
The method includes, for example: estimated carbon dioxide level C (CO) in passenger compartment at future time2)t1 estStrictly greater than, alternatively greater than or equal to, a predetermined future level Ct1 tolOne or more steps of precautionary measures are performed.
The one or more preventative measures include one or more of the following: opening at least one window between a passenger compartment of the vehicle and an exterior of the vehicle, deactivating an air recirculation function of the passenger compartment of the air conditioning device, and/or activating forced ventilation.
Such a sequence of steps is repeated, for example, at regular intervals. This enables, among other things, the implementation of measurements and the execution of new estimates adapted to the implemented measurements.
Therefore, such a method of monitoring the air quality of the passenger compartment not only enables detection of poor air quality and action to be taken accordingly, but also enables prevention of air quality degradation, thereby preventing the driver from developing a drowsy state while driving.

Claims (10)

1. A method of monitoring air quality in a passenger compartment of a vehicle, the method comprising the steps of:
-measuring at least one parameter (Nb, F) related to carbon dioxide emission in the passenger compartmentresp、f(VT)),
-based on at least one parameter (Nb, F) related to carbon dioxide emission in the passenger compartmentresp、f(VT) To estimate carbon dioxide emissions in the passenger compartment,
-measuring a parameter (C (CO) related to the carbon dioxide concentration in the passenger compartment at a given moment2)t0) And an
-calculating an estimate (C (CO) of the carbon dioxide level in the passenger compartment at a future moment2)t1 est)。
2. A monitoring method in accordance with claim 1 wherein estimating carbon dioxide emissions in the passenger compartment comprises estimating carbon dioxide emissions for each passenger in the passenger compartment.
3. A monitoring method according to claim 2, wherein estimating carbon dioxide emissions in the passenger compartment comprises calculating a breathing frequency (F) of each passenger in the passenger compartmentresp) The step (2).
4. A monitoring method according to claim 2 or 3, wherein estimating carbon dioxide emissions in the passenger compartment comprises estimating carbon dioxide (m (CO) emitted by each passenger through breathing2)resp) The step (2).
5. A monitoring method according to claim 4, comprising a step of calculating or measuring the volume or mass of each passenger in the passenger compartment, estimating the carbon dioxide (m (CO) emitted by each passenger in the passenger compartment by breathing2)resp) Based on the volume or mass of the passenger.
6. Monitoring method according to claim 1 or 2, wherein the at least one parameter relating to carbon dioxide emissions in the passenger compartment is the number of passengers (Nb) of the passenger compartment of the vehicle and their respective breathing frequency (F)resp) And their respective masses (f (V)T) Or at least one parameter related to the carbon dioxide emission in the passenger compartment is the number of passengers (Nb) in the passenger compartment of the vehicle and their respective breathing frequency (F)resp) And their respective volumes (f (V)T)),
And wherein the at least one parameter is measured by a single sensor.
7. A monitoring method according to claim 6, wherein the single sensor is a radio frequency imaging sensor.
8. A monitoring method according to claim 7, wherein the radio frequency imaging sensor operates at a frequency between 76GHz and 81 GHz.
9. A monitoring method according to claim 1 or 2, comprising determining if the level of carbon dioxide (C (CO) in the passenger compartment at a future time is2)t1 est) Greater than a predetermined future level (C)t1 tol) A step of performing one or more preventive measures; and/or if the parameter (C (CO) is correlated to the amount of carbon dioxide in the passenger compartment at a given moment2)t0) Greater than a predetermined current parameter (C)t0 tol) The step of performing one or more reactive measures.
10. A system for monitoring air quality in a passenger compartment of a vehicle, comprising:
-a sensor adapted to measure at least one parameter (C (CO) related to the carbon dioxide concentration in the passenger compartment at a given moment in time2)t0),
-a single sensor, preferably a radio frequency imaging sensor, adapted to measure at least one parameter (Nb, F) related to carbon dioxide emissions in the passenger compartmentresp、f(VT) And) and
a calculator provided for basing at least one parameter (Nb, F) related to carbon dioxide emissions in the passenger compartmentresp、f(VT) Estimate carbon dioxide emissions in the passenger compartment and calculate an estimate (C (CO)) of the carbon dioxide level in the passenger compartment at a future time2)t1 est)。
CN202010439567.4A 2019-05-27 2020-05-22 Method of monitoring air quality in a passenger compartment and related system Pending CN111993855A (en)

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US8229624B2 (en) 1995-06-07 2012-07-24 American Vehicular Sciences Llc Vehicle diagnostic information generating and transmission systems and methods
JP4184777B2 (en) * 2002-12-17 2008-11-19 株式会社日本クライメイトシステムズ Air conditioner for vehicles
DE102006003071A1 (en) * 2006-01-20 2007-08-02 Siemens Ag Composition regulating method e.g. for motor vehicle interior space, involves regulating air composition based on fresh air supply initially being measured by means of operating parameters of air supply of motor vehicle
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