PARK HANYONG (DE)
KIM DOWAN (DE)
DE102007022703B3 | 2008-11-20 | |||
EP3418539A1 | 2018-12-26 | |||
DE102008022213A1 | 2009-11-12 | |||
EP2636875A1 | 2013-09-11 | |||
KR101382767B1 | 2014-04-08 |
[Claims] 1. An air volume estimation method for an electric supercharger system comprising steps of: detecting a weighting factor which divides the engine operating zone into a throttling zone and a supercharging zone; estimating the air volume in the throttling zone and supercharging zone respectively; and estimating the intake manifold air volume using the weighting factor and the air volume estimated for each engine operating zone. 2. The air volume estimation method for an electric supercharger system as claimed in claim 1, characterized in that the weighting factor divides the engine operating zone into a throttling zone and a supercharging zone on the basis of ratio between the upstream pressure of the throttle valve and the intake manifold pressure. 3. The air volume estimation method for an electric supercharger system as claimed in claim 1, characterized in that the step of estimating the air volume in the throttling zone and supercharging zone respectively comprises steps of: estimating the air volume in the throttling zone on the basis of the Saint Venant equation with respect to the throttle valve; and estimating the air volume in the supercharging zone by applying the operational data of the electric supercharger to the compressor map of the electric supercharger. 4. The air volume estimation method for an electric supercharger system as claimed in claim 3, characterized in that, the step of estimating the air volume on the basis of the Saint Venant equation with respect to the throttle valve comprises steps of: calculating the air volume in the throttling zone by applying at least one of the temperature upstream of the throttle valve, the pressure of the upper portion of the throttle valve, the pressure downstream of the throttle valve, and the effective area with respect to the current degree the throttle valve is open, to the Saint Venant equation; and calculating the EGR air volume by applying at least one of the temperature upstream of the EGR valve, the pressure upstream of the EGR valve, the pressure downstream of the EGR valve, and the effective area with respect to the current degree the EGR valve is open, to the Saint Venant equation. 5. The air volume estimation method for an electric supercharger system as claimed in claim 4, characterized in that, the effective area with respect to the current degree the throttle valve is open changes depending on the air volume learning control in the throttling zone. 6. The air volume estimation method for an electric supercharger system as claimed in claim 3, characterized in that, the step of estimating the air volume by applying the operational data of the electric supercharger to the compressor map of the electric supercharger involves deriving the volume flow of the air flowing in the electric supercharger by applying the operational data of the electric supercharger to the compressor map of the electric supercharger, and calculating the air volume in the supercharging zone on the basis of the volume flow. 7. The air volume estimation method for an electric supercharger system as claimed in claim 6, characterized in that, the operational data of the electric supercharger comprises at least one of the temperature upstream of the electric supercharger, the pressure upstream of the electric supercharger, the pressure downstream of the electric supercharger, and the current value of the number of revolutions of the electric supercharger, and the current value of the number of revolutions of the electric supercharger and the pressure upstream of the electric supercharger change depending on the air volume learning control. 8. An air volume estimation method for an electric supercharger system comprising steps of: detecting a weighting factor which divides the engine operating zone into a throttling zone and a supercharging zone; estimating the air volume in the throttling zone and supercharging zone respectively; and learning control of the error between the intake manifold air volume measured on the basis of the air volume estimated by the weighting factor and the engine operating zone and the actual intake manifold air volume so as to correct the air volume in the throttling zone and the supercharging zone. 9. The air volume estimation method for an electric supercharger system as claimed in claim 8, characterized in that the weighting factor divides the engine operating zone into a throttling zone and a supercharging zone on the basis of ratio between the upstream pressure of the throttle valve and the intake manifold pressure. 10. The air volume estimation method for an electric supercharger system as claimed in claim 8, characterized in that the step of estimating the air volume in the throttling zone and supercharging zone respectively comprises steps of: estimating the air volume in the throttling zone on the basis of the Saint Venant equation with respect to the throttle valve; and estimating the air volume in the supercharging zone by applying the operational data of the electric supercharger to the compressor map of the electric supercharger. 11. The air volume estimation method for an electric supercharger system as claimed in claim 10, characterized in that, the step of estimating the air volume on the basis of the Saint Venant equation with respect to the throttle valve comprises steps of: calculating the air volume in the throttling zone by applying at least one of the temperature upstream of the throttle valve, the pressure of the upper portion of the throttle valve, the pressure downstream of the throttle valve, and the effective area with respect to the current degree the throttle valve is open, to the Saint Venant equation; and calculating the air volume in the EGR by applying at least one of the temperature upstream of the EGR valve, the pressure upstream of the EGR valve, the pressure downstream of the EGR valve, and the effective area with respect to the current degree the EGR valve is open, to the Saint Venant equation 12. The air volume estimation method for an electric supercharger system as claimed in claim 10, characterized in that, the step of estimating the air volume by applying the operational data of the electric supercharger to the compressor map of the electric supercharger involves deriving the volume flow of the air flowing in the electric supercharger by applying the operational data of the electric supercharger to the compressor map of the electric supercharger, and calculating the air volume in the supercharging zone on the basis of the volume flow. 13. The air volume estimation method for an electric supercharger system as claimed in claim 12, characterized in that, the operational data of the electric supercharger comprises at least one of the temperature upstream of the electric supercharger, the pressure upstream of the electric supercharger, the pressure downstream of the electric supercharger, and the current value of the number of revolutions of the electric supercharger. 14. The air volume estimation method for an electric supercharger system as claimed in claim 8, characterized in that, the step of correcting the air volume in the throttling zone and the supercharging zone comprises a step of: converting the estimated intake manifold air volume to an intake manifold pressure model value, and generating an effective area correction value for the throttle valve on the basis of the error between the intake manifold pressure model value and the actual measured intake manifold pressure and applying same to the estimation of the air volume in the throttling zone. 15. The air volume estimation method for an electric supercharger system as claimed in claim 8, characterized in that, the step of correcting the air volume in the throttling zone and the supercharging zone comprises a step of: converting the estimated intake manifold air volume to an intake manifold pressure model value, and calculating a revolution number correction value for the electric supercharger on the basis of the error between the intake manifold pressure model value and the actual intake manifold pressure and applying same to the estimation of the air volume in the supercharging zone. 16. The air volume estimation method for an electric supercharger system as claimed in claim 8, characterized in that, the step of correcting the air volume in the throttling zone and the supercharging zone comprises a step of: converting the estimated intake manifold air volume to an intake manifold pressure model value, and calculating an upstream pressure correction value for the electric supercharger on the basis of the error between the intake manifold pressure model value and the actual intake manifold pressure and applying same to the estimation of the air volume in the supercharging zone. 17. The air volume estimation method for an electric supercharger system as claimed in claim 8, characterized in that, the step of correcting the air volume in the throttling zone and the supercharging zone comprises a step of: storing the cumulative error when the engine operating conditions are steady as a learning value for each engine operating zone for correcting the effective area, a learning value for each engine operating zone for correcting the number of revolutions of the electric supercharger, or a learning value for each engine operating zone for correcting the upstream pressure of the electric supercharger. 18. The air volume estimation method for an electric supercharger system as claimed in claim 8, characterized in that, the method further comprises a step of estimating the intake manifold air volume using the corrected air volume in the throttling zone and the corrected air volume in the supercharging zone. |
[0099] Lastly, the third air volume estimation unit (140) estimates the intake manifold air volume (MFL_IM) (S140). [0100] The third air volume estimation unit (140) calculates the intake manifold air volume (MFL_IM) by using the air volume in the throttling zone and the air volume in the supercharging zone. The process of calculating the intake manifold air volume (MFL_IM) is the same as the equation below. [0101] FIG. 8 is a sequence diagram for an air volume learning control method in the throttling zone according to one embodiment of the present invention. [0102] With reference to FIG. 8, the first learning control unit (210) performs learning control on the air volume in the throttling zone. [0103] The first learning control unit (210) converts the intake manifold air volume (MFL_IM) which is estimated in order to perform learning control of the error between the intake manifold air volume (MFL_IM) estimated as described above and the actual intake manifold air volume into an intake manifold pressure model value (PRS_IM). [0104] Next, the first learning control unit (210) calculates the error (PRS_IM_DIF) between the intake manifold pressure model value (PRS_IM) and the actual intake manifold pressure (PRS_IM_MES). [0105] The first learning control unit (210) receives input of the error (PRS_IM_DIF) between the intake manifold pressure model value (PRS_IM) and the actual intake manifold pressure (PRS_IM_MES).and outputs an effective area correction value for the throttle valve (30) (AR_THR_COR) and so performs learning control of the air volume estimation error in the throttling zone. [0106] In this case, the first learning control unit (210) calculates the error (PRS_IM_DIF) between the intake manifold pressure model value (PRS_IM) and the actual intake manifold pressure (PRS_IM_MES), P-gain, and the effective area correction value (P) of the throttle valve (AR_THR_COR_P) using the weighting factor (S202,S206). Here, the P-gain can be set as at least one of the number of engine revolutions, and the pressure ratio of the upstream pressure of the electric supercharger with respect to the upstream pressure of the throttle valve (PQ_THR, PRS_UP_EL_SCHA/PRS_UP_THR). [0107] Furthermore, the first learning control unit (210) calculates the error (PRS_IM_DIF) between the intake manifold pressure model value (PRS_IM) and the actual intake manifold pressure (PRS_IM_MES), I-gain, and the effective area correction value (I) of the throttle valve (AR_THR_COR_I) using the weighting factor (S204,S206). I-gain can be set as at least one of the number of engine revolutions, the effective area correction value (I) of the throttle valve (AR_THR_COR_I) of the previous step, and the pressure ratio of the upstream pressure of the electric supercharger with respect to the upstream pressure of the throttle valve (PQ_THR,PRS_UP_EL_SCHA/PRS_UP_THR). [0108] Note that PI control is described as an example in the present embodiment, and the technical scope of the present invention is not limited thereto. [0109] Next, the first learning control unit (210) calculates the effective area correction valve of the throttle valve (AR_THR_COR) using the effective area correction value (P) of the throttle valve (AR_THR_COR_P) and the effective area correction value (I) of the throttle valve (AR_THR_COR_I) which are calculated as described above, and delivers the calculated effective area correction valve of the throttle valve (AR_THR_COR) to the first air volume estimation unit (120). [0110] Meanwhile, the first learning control unit (210) stores the cumulative error when the engine operating conditions are steady as a learning value of each engine operating zone (number of engine revolutions, engine load) for correcting the effective area (AR_THR_AD_COR), and initializes the effective area correction value (I) of the throttle valve (AR_THR_COR_I) of the previous step at 0 (S212). This is used for correction of the output value of the first learning control module (210) during driving in each engine operating zone. [0111] Meanwhile, the first air volume estimation unit (120) estimates the air volume in throttling zone as has been described above. In this case, the first air volume estimation unit (120) calculates the air volume in the throttling zone by summing the effective area correction valve of the throttle value (AR_THR_COR) received from the first learning control unit (210) and the learning value (AR_THR_AD_COR) for each engine operating zone (number of engine revolutions, engine load) with the effective area with respect to the degree that the throttle valve is open (S208,S210). [0112] The process of estimating the effective area correction value of the throttle valve (AR_THR_COR) and the air volume in the throttling zone is the same as the equation below. [0113] FIG. 9 is a sequence diagram illustrating an example of the air volume learning control method in the supercharging zone according to one embodiment of the present invention. [0114] With reference to FIG. 9, the second learning control unit (220) performs learning control on the air volume in the supercharging zone. [0115] The second learning control unit (220) calculates the error (PRS_IM_DIF) between the intake manifold pressure model value defined above and the measurement value as an input value. That is, the second learning control unit (220) converts the intake manifold air volume (MFL_IM) which is estimated in order to perform learning control of the error between the estimated intake manifold air volume (MFL_IM) and the actual intake manifold air volume into an intake manifold pressure model value (PRS_IM). [0116] Next, the second learning control unit (220) calculates the error (PRS_IM_DIF) between the intake manifold pressure model value (PRS_IM) and the actual intake manifold pressure (PRS_IM_MES). [0117] Next, the second learning control unit (220) performs learning control in which input of the error (PRS_IM_DIF) between the intake manifold pressure model value (PRS_IM) and the actual intake manifold pressure (PRS_IM_MES) is received, and a revolution number correction value for the electric supercharger (50) (N_EL_SCHA_COR) is output, to perform learning control of the air volume error in the supercharging zone. [0118] In this case, the second learning control unit (220) calculates the error (PRS_IM_DIF) between the intake manifold pressure model value (PRS_IM) and the actual intake manifold pressure (PRS_IM_MES), P-gain, and the revolution number correction value (P) of the electric supercharger (50) (N_EL_SCHA_COR_P) using the weighting factor (S222,S226). Here, the P-gain can be set as at least one of the number of engine revolutions, and the pressure ratio of the downstream pressure of the electric supercharger with respect to the upstream pressure of the electric supercharger (PQ_EL_SCHA, PRS_DOWN_EL_SCHA/PRS_UP_EL_SCHA). [0119] In this case, the second learning control unit (220) calculates the error (PRS_IM_DIF) between the intake manifold pressure model value (PRS_IM) and the actual intake manifold pressure (PRS_IM_MES), I-gain, and the revolution number correction value (I) of the electric supercharger (50) (N_EL_SCHA_COR_I) using the weighting factor (S224,S226). Here, I-gain can be set as at least one of the number of engine revolutions, the revolution number correction value (I) of the electric supercharger (50) (N_EL_SCHA_COR_I) of the previous step, and the pressure ratio of the downstream pressure of the electric supercharger with respect to the upstream pressure of the electric supercharger (PQ_EL_SCHA, PRS_DOWN_EL_SCHA/PRS_UP_EL_SCHA). [0120] Next, the second learning control unit (220) calculates the revolution number correction value of the electric supercharger (50) (N_EL_SCHA_COR) using the revolution number correction value (P) of the electric supercharger (50) (N_EL_SCHA_COR_P) and the revolution number correction value (I) of the electric supercharger (50) (N_EL_SCHA_COR_I) which are calculated as described above, and the calculated revolution number correction value of the electric supercharger (50) (N_EL_SCHA_COR) is delivered to the second air volume estimation unit (130). [0121] Meanwhile, the second learning control unit (220) stores the cumulative error when the engine operating conditions are steady as a learning value of each engine operating zone (number of engine revolutions, engine load) for correcting the number of revolutions (N_EL_SCHA_AD_COR), and initializes the revolution number correction value (I) of the electric supercharger (50) (N_EL_SCHA_COR_I) of the previous step at 0 (S232). [0122] Meanwhile, the second air volume estimation unit (130) estimates the air volume in supercharging zone as has been described above. In this case, the second air volume estimation unit (130) can estimate the air volume in the supercharging zone by summing the revolution number correction value of the electric supercharger (50) (N_EL_SCHA_COR) received from the second learning control unit (220) and the learning value of each engine operating zone (number of engine revolutions, engine load) (N_EL_SCHA_AD_COR) with the current value of the number of revolutions of the electric supercharger (50) (S228,S230). [0123] The process of estimating the revolution number correction value of the electric supercharger (50) (N_EL_SCHA_COR) and the air volume in the supercharging zone is the same as the equation below. [0124] FIG. 10 is a sequence diagram illustrating another example of the air volume learning control method in the supercharging zone according to one embodiment of the present invention. [0125] The second learning control unit (220) performs learning control in which the error (PRS_IM_DIF) between the intake manifold pressure model value defined above and the measurement value is taken as an input value. That is, the second learning control unit (220) converts the intake manifold air volume (MFL_IM) which is estimated in order to perform learning control of the error between the estimated intake manifold air volume (MFL_IM) and the actual intake manifold air volume (PRS_IM_MES) into an intake manifold pressure model value (PRS_IM). [0126] The second learning control unit (220) calculates the error (PRS_IM_DIF) between the intake manifold pressure model value (PRS_IM) and the actual intake manifold pressure (PRS_IM_MES). [0127] Next, the second learning control unit (220) performs learning control in which input of the error (PRS_IM_DIF) between the intake manifold pressure model value (PRS_IM) and the actual intake manifold pressure (PRS_IM_MES) is received, and an upstream pressure correction value for the electric supercharger (50) (PRS_UP_EL_SCHA_COR) is output, to perform learning control of the air volume error in the supercharging zone. [0128] In this case, the second learning control unit (220) calculates the error (PRS_IM_DIF) between the intake manifold pressure model value (PRS_IM) and the actual intake manifold pressure (PRS_IM_MES), P-gain, and the upstream pressure correction value (P) of the electric supercharger (50) (PRS_UP_EL_SCHA_COR_P) using the weighting factor (S242,S246). Here, the P-gain can be set as at least one of the number of engine revolutions, and the pressure ratio of the downstream pressure of the electric supercharger with respect to the upstream pressure of the electric supercharger (PQ_EL_SCHA, PRS_DOWN_EL_SCHA/PRS_UP_EL_SCHA). [0129] In this case, the second learning control unit (220) calculates the error (PRS_IM_DIF) between the intake manifold pressure model value (PRS_IM) and the actual intake manifold pressure (PRS_IM_MES), I-gain, and the upstream pressure correction value (I) of the electric supercharger (50) (PRS_UP_EL_SCHA_COR_I) using the weighting factor (S244,S246). Here, I-gain can be set as at least one of the number of engine revolutions, the upstream pressure correction value (I) of the electric supercharger (50) (PRS_UP_EL_SCHA_COR_I) of the previous step, and the pressure ratio of the downstream pressure of the electric supercharger with respect to the upstream pressure of the electric supercharger (PQ_EL_SCHA, PRS_DOWN_EL_SCHA/PRS_UP_EL_SCHA). [0130] Next, the second learning control unit (220) calculates the upstream pressure correction value of the electric supercharger (50) (PRS_UP_EL_SCHA_COR) using the upstream pressure correction value (P) of the electric supercharger (50) (PRS_UP_EL_SCHA_COR_P) and the upstream pressure correction value (I) of the electric supercharger (50) (PRS_UP_EL_SCHA_COR_I) which are calculated as described above, and the calculated upstream pressure correction value of the electric supercharger (50) (PRS_UP_EL_SCHA_COR) is delivered to the second air volume estimation unit (130). [0131] Meanwhile, the second learning control unit (220) stores the cumulative error when the engine operating conditions are steady as a learning value of each engine operating zone (number of engine revolutions, engine load) (PRS_UP_EL_SCHA) for correcting the upstream pressure of the electric supercharger (50), and initializes the upstream pressure correction value (I) of the electric supercharger (50) (PRS_UP_EL_SCHA_COR_I) of the previous step at 0 (S252). [0132] Meanwhile, the second air volume estimation unit (130) estimates the air volume in supercharging zone as has been described above. In this case, the second air volume estimation unit (130) can estimate the air volume in the supercharging zone by summing the upstream pressure correction value of the electric supercharger (50) (PRS_UP_EL_SCHA_COR) received from the second learning control unit (220) and the learning value of each engine operating zone (number of engine revolutions, engine load) (PRS_UP_EL_SCHA_AD_COR) with the upstream pressure of the electric supercharger (50) (S248,S250). [0133] Consequently, the third air volume estimation unit (140) performs learning control as described above using the air volume in the throttling zone (MFL_THR) received from the first air volume estimation unit (120), the EGR air volume (MFL_EGR), the air volume in the supercharging zone (MFL_EL_SCHA) received from the second air volume estimation unit, and the weighting factor (FAC_PRS_AR_THR_CTL), and thus can estimate an intake manifold air volume (MFL_IM) corrected on the basis of the learning control results. [0134] The process for estimating the intake manifold air volume (MFL_IM) is the same as the equation below. [0135] As has been described above, the air volume estimation method for an electric supercharger system according to one aspect of the present invention, compared to conventional methods which only use the Saint Venant equation, is capable of air volume estimation and control in an engine system even when an EGR and electric supercharger system are applied downstream of the throttle valve and can be operated without using an air flow rate sensor, thus enabling the reduction of system costs. [0136] The embodiment described in the present specification can be realized as, for example, a method or process, apparatus, software program, data stream or signal. Despite being discussed only in the context of a single form of embodiment (for example, discussed only as a method), embodiments of the discussed feature can also be realized in other forms (for example, an apparatus or program). Apparatuses can be implemented with appropriate hardware, software and firmware etc. The method can be realized in apparatuses such as processors which are generally called processing devices which, for example, include computers, microprocessors, integrated circuits and programmable logic devices. Processors also include communication devices that facilitate communication of information between end-users such as computers, cell phones, mobile/individual information terminals (personal digital assistants, PDAs) and other devices. [0137] The present invention has been particularly described with reference to the embodiments shown in the drawings, but these are merely illustrative and it should be understood by those skilled in the art that various changes and other equivalent embodiments are possible. Accordingly, the true technical scope of protection of the present invention should be defined by the patent claims below. [Description of the Reference Numerals] 10: Intake pipe 20: Air cleaner 30: Throttle valve 40: EGR supply unit 50: Electric supercharger 60: Intake manifold 70: Intercooler 80: Exhaust manifold 90: Engine 100: Air volume estimation module 110: Weighting factor detection unit 120: First air volume estimation unit 130: Second air volume estimation unit 140: Third air volume estimation unit 200: Learning control module 210: First learning control unit 220: Second learning control unit 230: Third learning control unit
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