# Clarification of transient characteristics by coupled analysis of powertrains and vehicles.

ABSTRACTWith the goal of improving drivability, this research aimed to clarify the mechanism of vehicle longitudinal acceleration, focusing on tip-in acceleration. Conventional typical analysis methods include experimental modal and model-based analysis. However, since the former requires the measurement of impulses and other input forces while the vehicle is stopped, measurement under actual driving conditions is difficult. The latter requires characteristic values such as the stiffness and damping coefficients to be identified in advance, which cannot be achieved either easily or precisely. Therefore, this paper proposes a new experiment-based analysis method. This method enables the acquisition of engine torque and transmission torque/force by measuring only the acceleration values of some components under driving conditions. The key to realizing this method is the measurement of motions with the necessary and sufficient degrees of freedom (e.g., pitch motion) since these greatly affect vehicle behavior. Another aspect of this method is the adoption of appropriate equations to express the relationship between action and reaction forces and the measured acceleration (inertial force). Once the torque and force are obtained, a physical model can be devised even if the characteristic parameters of the vehicle are unknown. For the vehicle used in this study, tip-in acceleration behavior can be expressed by a model with only seven degrees of freedom, which expresses the important motions of the powertrain, driveline, and chassis. This model allows a simple understanding of the acceleration behavior and can be used for concept design.

CITATION: Hibino, R., Jimbo, T., Yamaguchi, H., Tsurumi, Y. et al., "Clarification of Transient Characteristics by Coupled Analysis of Powertrains and Vehicles," SAE Int. J. Passeng. Cars - Mech. Syst. 9(1):2016.

1. INTRODUCTION

Drivability is one of the basic vehicle performance indices. A typical method for estimating this performance characteristic is vehicle-based tests of tip-in acceleration. Transient vibration often occurs in the floor of the vehicle body during such tests due to the transmission of transient torque from the engine to the body and the backlash between the gears of the transmission and driveline, which causes rapid changes in the torque. Therefore, vibration is a key issue in vehicle development. This paper proposes a useful analysis method that aims to resolve this issue.

Various studies of control methods and phenomenon analysis have been carried out with the aim of improving vibration [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]. Some have addressed control or analysis methods for the engine and the driveline [1, 2, 3, 4] because these components are important for explaining vibration phenomena. However, in an actual vehicle, the driveline is connected to the chassis (and body) system, and floor longitudinal acceleration is attained through the chassis system.

Therefore, the analysis must address the entire vehicle, including components from the engine to the chassis [9, 10]. Therefore, it is necessary to consider the interaction between the vehicle components to clarify the vibration phenomena. This process is challenging.

One possible analysis method is based on CAE models [7, 8, 9, 10]. This is useful for understanding vibration phenomena because CAE models are capable of identifying various states that cannot usually be measured in a real vehicle. In contrast, issues with this method include the fact that various characteristic values must be measured in advance, such as the stiffness and damping coefficients of the engine mounts, suspension bushings, and the like. For example, to measure the characteristics of a simple bushing, it might be necessary to lower the engine block from the vehicle body, which is very time-consuming. Another issue is the difficulty of understanding the causal relationships between various motions because a CAE model for an entire vehicle (i.e., a multi-body system) exhibits a high-order degree of freedom.

Other analysis methods are based on experiments. Experimental modal analysis (EMA) is a typical example [16, 17]. However, it can be difficult to apply this method except when the vehicle is stopped because impulse forces have to be applied with a hammer or the like. It is also difficult to apply exciting forces to a rotating shaft of an engine, which is the input point in a real vehicle.

Recently, transfer path analysis (TPA) has been adopted as a method that enables analysis under actual operating conditions [14, 15]. Although this method enables identification of the transfer forces acting on the engine mounts, mount stiffness measurement remains an issue. Furthermore, physical information cannot be obtained because only the system transfer function is fitted to the experimental data. In contrast, the operational TPA method does not require the measurement of mount stiffness [18, 19]. However the contribution ratio of the acceleration to each mount can be obtained only by measuring acceleration data. Since this ratio differs in accordance with the transfer function (input: force, output: velocity or acceleration), the wrong contribution ratio may be obtained. It is also not clear whether the exciting force required by the analysis can be obtained because the test is performed under actual operating conditions.

To resolve these issues, this paper proposes a new analysis method based on the results of experiments. This method is called hierarchical operational transfer path analysis and separation (HOTPAS). The ultimate goal of this method is to develop a principle model. The next section explains the concept of the analysis method and Section 3 describes the specific analysis procedure. This method is used to calculate the torque and force required to create the principle model. Section 4 uses this principle model to validate the proposed analysis method. The effectiveness of the method is demonstrated and compared with conventional methods.

2. CONCEPT

Figure 1 shows the issue relating to tip-in acceleration. This figure shows acceleration time series data for the floor of a vehicle body in 2nd gear at 40 km/h. The undamped oscillation that continues as the vehicle acceleration increases is one cause of a degradation in drivability. To resolve this issue, it is necessary to clarify the oscillation mechanism. However, this mechanism is not simple to identify because the engine torque is transmitted to the vehicle body through the transmission, tires, suspension, and engine mounts, as shown in Fig. 2. Therefore, the floor longitudinal acceleration is a result of the interactions between different components.

The proposed analysis method has two advantages. The first is that the engine torque and the torque and force transmitted between components can be obtained by measuring only the acceleration of the components under driving conditions. Sensor installation issues are often encountered when measuring the torque and force under driving conditions. This is because, in a powertrain, the sensors have to be installed on a rotating shaft and, in an engine mount system, the sensors have to be attached to the transfer path of the force. Equation (1) expresses the basic concept.

f = m[??] (1)

where, f is the force, m is the mass, and [??] is the acceleration. It is clear that Equation (1) can be used to obtain the force if the mass and the acceleration are measured, even though the force itself cannot be measured. The acceleration can be measured easily relative to the force. However, Equation (1) cannot be directly applied to an actual vehicle. An example is shown in Fig. 3(a). Each component (mass) of the vehicle is usually connected to two points, one upstream and one downstream, such as the gear train, such that the two forces [f.sub.1] and [f.sub.2] cannot be calculated with the measured acceleration data for one point.

Here, the conceptual system shown in Fig. 3(b) is considered. In this system, the transferred forces can be calculated by inverse transformation because the number of the force to be found is equal to that of the acceleration. In an actual vehicle, this idea cannot be applied because the number of the force is usually greater than that of the acceleration. However an idea like that shown in Fig. 3(b) may be applied in some cases provided that the relationships between the force (torque) and the corresponding acceleration (angular acceleration) are established adequately. Another key point is that the type of the transferred force (such as stiffness, damping, clutch, or backlash) does not matter because the transfer force only implies the relationship between the action and reaction forces. This is an advantage in performing the analysis.

The second advantage is that, whenever possible, the analysis creates a model with a low degree of freedom while maintaining the physical structure of the model. As a result, the analysis results can be understood easily. All the components of the chassis system, such as the engine block, which influence the acceleration phenomenon, have six degrees of freedom (rigid-body motions are considered). However, not all of these degrees of freedom exhibit large movements under driving conditions. Therefore, only those degrees of freedom with a large influence are selected.

Figure 4 shows the flow of the proposed analysis method from the experimental measurements to the making of the principle model. Unlike conventional CAE methods, this modeling process can be applied even to a vehicle for which the characteristic parameters cannot be obtained because it does not require these parameters in the first instance. The next section describes the analysis processes in detail, according to the flow shown in Fig. 4.

3. EXPERIMENT-BASED ANALYSIS METHOD

Figure 5 shows a diagram of the overall system as it relates to the acceleration phenomenon. Paths from the engine torque to the vehicle include through the transmission and the engine mounts. Therefore, this analysis targeted the engine, the transmission, the driveline, and the chassis system, which contains the engine block and unsprung systems.

The frequency band for the analysis is from DC to around 20 Hz, in which the motions of the components shown in Fig. 5 can be expressed. In this frequency band, the motions of the chassis components (the engine block and the unsprung mass) can be considered as rigid-body motions. The analysis assumes that the following values are known.

* The mass or the inertia of each component

* The position of the center of gravity of the rigid body

* The running resistance of the vehicle

3.1. Vehicle Measurement Method

The following section describes step 1 (vehicle measurement) from the analysis flow in Fig. 4. As mentioned in the previous section, the motion of the chassis components can be regarded as rigid-body motions under tip-in acceleration. Therefore, these motions can be expressed as translation and rotational motions with six degrees of freedom around the center of gravity. For this reason, the chassis measurement is performed so that the motion of the center of gravity can be identified.

Three-axis acceleration sensors were used for the measurement. These were attached to three different points on components located far from the center of the gravity, such as the engine block, as shown in Fig. 6. The motions with six degrees of freedom around the center of the gravity can be calculated based on the acceleration data obtained from these three triaxial sensors (appendix). This figure also shows the acceleration sensors attached to the lower arm, sub-frame, and body floor. At this point, since it is not clear to which components the sensors should be attached, the sensors were attached to all possible components that might influence acceleration.

Only one sensor was attached to the vehicle floor. This is because the motion of the body (pitch, heave, and the like) is not a target of the analysis. Therefore, the attachment of only one sensor close to the center of gravity is not a problem because the acceleration is analyzed only in the longitudinal direction.

Figure 7 shows the acceleration sensors attached to the actual vehicle. Small sensors that can be attached in the limited space are used as much as possible.

At the same time, the rotational speed of each component listed in Table 1 is also measured to identify the rotational motion of the powertrain. For the analysis, angular velocity is converted to angular acceleration using the time difference of the rotational speed data. Table 1 also lists the measurement conditions.

In addition, although this method does not require the driveshaft (DS) torque to be identified, it was measured in the steps described in the following sections. This is because it can be measured easily and useful information for confirmation and verification can be obtained from the measured torque value.

3.2. Structural Identification (PARAFAC Analysis)

This section explains step 2 (structural identification) of the analysis flow. In this step, the important degrees of freedom are selected for tip-in acceleration to simplify the analysis and the modeling of the chassis system (engine block and unsprung mass). A method called parallel factor analysis (PARAFAC) [20, 21, 22] is applied. This is based on wavelet analysis of the acceleration data in the preceding section because the target phenomenon is transient.

Figure 8 shows the data structure used for the wavelet analysis in this method. This structure is a three-way data array consisting of frequency, time, and motion data. The motion refers to the six degrees of freedom of each element. However it is not simple to analyze this array directly since it contains an enormous amount of data. Therefore the array must be converted into as simple a data structure as possible. The adopted PARAFAC analysis method is a kind of tensor decomposition expressed by Equation (2) and Fig. 9.

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]

for [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (2)

where [x.sub.ijk] is the element of the tensor decomposition (which corresponds to the (i, j, k) element of the array data in Fig. 8, a is the element of frequency, b is the element of time, c is the element of motion, and f is the factor corresponding to each mode of the conventional mode analysis. Using tensor decomposition, the equation and the figure can be expressed simply. The coefficient of each a, b, c element is calculated so that the error between the original data shown in Figure 8 and the decomposed data is as small as possible.

As an example of the result, the elements of frequency A = [[a.sub.1], ..., [a.sub.I]], which are calculated for every factor from 1 to 5, are shown in Fig. 10. Distinctive waveforms can be acquired, which have peaks at frequencies of 4, 6, 11, 12, and 16 Hz. The elements of factors 2, 4 are not considered in this analysis because these peaks correspond to stationary vibration occurring before the start of acceleration. Figure 11 shows the elements of motion C = [[c.sub.1], ..., [c.sub.K]] of factor 1 (peak frequency of 4 Hz) as a bar graph. Factor 1 is the mode in which the drive shaft is mainly twisted. This graph shows the rate of contribution of each degree of freedom. Therefore, the important degrees can be selected with this graph.

Since the values of the motions (longitudinal motion of the unsprung mass, and the longitudinal and pitch motion of the engine block) indicated by the red circles in this figure are large, these were used for the analysis and modeling. The results for factors 3 and 5 exhibit the same tendencies as those for factor 1. In addition, the values of the vertical (z) and yaw motions in the engine block are also relatively large in the figure. These motions can be used if greater accuracy is required. However, these motions were not used for this analysis or modeling, because it is first necessary for the essential phenomenon to be understood.

The above discussion assumes that the components of the chassis system, which influence the acceleration, are the engine block and the unsprung mass. However it is not confirmed whether it is sufficient to consider only these components. If the DS torque can be measured, this point can be confirmed using Equation (3).

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (3)

where, [[??].sub.v] and [m.sub.v] are the floor longitudinal acceleration and vehicle body mass, F is the longitudinal force transferred to the body converted from the drive shaft torque, [[??].sub.i] and [m.sub.i] are the i-th longitudinal acceleration and i-th mass, and i is the i-th elements, such as the engine block and unsprung mass.

The equation is always true regardless of the presence of rotational motion, or differences in the component configuration. This equation uses the relationship whereby the total longitudinal forces inputted to the vehicle body are equal to the sum of the longitudinal inertial forces of all the vehicle components, including the body and the chassis system. (The above can be confirmed with the equation given in Section 3.5, below.)

This equation is useful because it can be applied to verify whether the important components are included. The values of the left and right parts of the equation are calculated from the measured data. The difference between both values becomes large if there is an important component that is not taken into account. In this case, the analysis process returns to step 1 and the other measured components have to be added. In contrast, less important components may also be contained. Although these elements contribute to reducing the difference between both parts of Equation (3), these components are not considered to simplify the analysis and modeling.

An example of the analysis results is shown in Fig. 12. The figure indicates that the values of the left and right parts of Equation (2) are almost the same when the engine block and the unsprung mass are regarded as the important components. Therefore, the acceleration of the sub-frame that was measured as described in the previous section does not have to be considered as an independent component for both the analysis and modeling. (The mass is included with that of the vehicle body.)

3.3. Calculation of Engine Torque and Transfer Force

Figure 13 and the equations of motion given by Equation (4) can be derived based on the components and the degrees of freedom selected in the previous section.

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (4)

The variables and parameters shown in Figure 4 are explained in Table 2. The torques and transfer forces can be converted from the equation. All the inertial forces in the left-hand part of the equation can be identified by measurement. However, there are seven unknown torques and forces in the right-hand part when the running resistance F is known. Since the number of the calculations in the equation is the same as that for the unknown values, the torques and forces can be acquired by inverse calculation. This number is the same because the forces transferred to the engine mounts are reduced to two equivalent forces of longitudinal force and pitch torque. In an actual vehicle, there are more than three mounting points. Therefore, the number of forces will exceed the number of calculations in the equation if no contraction is applied. In addition, the running resistance F is almost equal to the stationary value over a few seconds. Therefore, this is basically insignificant even though the value is unknown in the transient vibration analysis.

Equation (4) only describes the relationships between the action and reaction forces, which do not depend on the type of the transfer force or torque. This is an advantage for the analysis because the transfer forces, torques, and engine torque can be acquired using only acceleration and angular acceleration data. Therefore, in this method, the transfer forces do not need to be modeled to acquire the forces and torques.

Figure 14 shows the result of a verification that compares the DS torque calculated from Equation (4) and the value obtained from the sensor. The figure indicates that the torque value was acquired accurately. Figure 15 also shows the engine torque as calculated from Equation (4), which cannot be verified.

3.4. Model Construction

The principle model is made with the engine torque, transfer forces, and other torques acquired in the previous section. A linear model is assumed so that the analysis can be simplified as much as possible. First, the linear stiffness and damping coefficients are defined as shown in Equation (5) using the transfer characteristics in Equation (4).

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (5)

The parameters used in Equation (5) are explained in Table 3.

In addition to Equation (5), there is another transfer characteristic that should be considered. As described in previous studies [2, 3, 10, 11], the backlash characteristic is important to tip-in acceleration. Therefore, a nonlinear characteristic is added to the driveshaft model, as shown in Fig. 16.

Next the values of the parameters in the right part of Equation (5) and the magnitude of the backlash are identified. The identification method involved repeating the simulations and gradually reducing the errors between the measured data and the simulation output. Specifically, the simulations were performed with the engine torque shown in Fig. 15. Furthermore, the model parameters were modified repeatedly so the simulation outputs are equal to the measured accelerations/angular accelerations, and the calculated forces/torques. Accurate identification is possible because all the states of the model (acceleration, force, and the like) can be acquired. In contrast, only input and output data can be used with black box identification.

The results are shown in Fig. 17. The figure demonstrates that the model motions of (a) accelerations/angular accelerations, and (b) forces/torques are accurately simulated in the frequency region below 20 Hz. As a result, the principle model for tip-in acceleration is acquired. The next section analyzes the phenomenon using this model.

4. VALIDATION OF PROPOSED METHOD

4.1. Usefulness

This section clarifies the phenomenon of tip-in acceleration using the model created in the previous section. First, the transfer paths from the engine torque to the longitudinal acceleration of the floor were investigated. To accomplish this, the frequency response characteristics of two paths, through the transmission and through the engine mounts, were calculated. No backlash was assumed. The results are shown in Fig. 18. The results indicate that the contribution of the path through the transmission is larger in the frequency region below 20 Hz.

Next, two simulations with and without backlash were performed to investigate the contribution of backlash. As shown in Fig. 19, the results indicate that the vibration phenomenon under tip-in acceleration is mainly caused by backlash. This is because the transfer torque increases at the instant that the gears collide with each other, generating an exciting force that acts on the vehicle body.

In such a case, however, the transfer path by which the exciting force is transmitted must be considered. As an example, the transfer path to the engine block was investigated, in which a large vibration amplitude was observed. Figure 20 shows the time series data for the engine block, which has two transfer paths: through the transmission and through the vehicle body. The figure indicates that the rotational (pitch) vibration is caused by the force transmitted through the transmission in the opposite direction to that of the engine torque. With respect to longitudinal vibration, the forces through the transmission and vehicle body have virtually the same rate of contribution.

Therefore, the phenomenon of tip-in acceleration can be understood both quantitatively and easily by this simple principle model.

4.2. Discussion

The advantages of the proposed method can be illustrated by comparison with conventional methods. Figure 21 compares the degrees of freedom of a multi-body dynamics (MBD) model and the proposed model. In the MBD model, all of the components related to tip-in acceleration are modeled with six degrees of freedom. The proposed method has seven degrees of freedom.

A comparison was also made with another conventional method called experimental modal analysis (EMA). Because of the need for hammering tests, EMA tests are usually carried out while the vehicle is stopped. However, under this condition, the path through which the power is transferred is disconnected by the backlash between the gears. The transfer characteristic diagram is illustrated by a solid line in Fig. 22. A large difference from the true characteristic (dashed line) is confirmed. This issue does not affect the proposed method because the data is measured under driving conditions.

The proposed method also has other advantages. In control system design, the principle model can be used as an observer of the control system. The model can be implemented in an electronic control unit (ECU) because of the low number of degrees of freedom. Another advantage is that the model can be used for studying parameters such as stiffness, damping, and mass. This is because the model obtained from the proposed method is a physical model derived from experimental data that differs from the conventional black box model (i.e., the transfer function model).

5. SUMMARY/CONCLUSIONS

This paper has proposed a new analysis method based on the results of experiments. This method is called hierarchical operational transfer path analysis and separation (HOTPAS). This method has the following two advantages.

1. The engine torque, transfer torque, and force between the components can be obtained provided that the acceleration values of the components are measured under driving conditions.

2. A model with relatively few degrees of freedom can be created while maintaining the physical structure of the model, enabling simple understanding of the analysis results.

From the analysis results, it was understood that the acceleration phenomenon can be accurately simulated with the seven degrees of freedom model. Using this principle model, it was found that the vibration phenomenon under tip-in acceleration was mainly caused by backlash. Furthermore, the transfer path was confirmed, with the exciting force caused by the backlash being transmitted to the engine block.

Future work will involve the design of vehicle characteristic values based on this principle model, with the aim of improving drivability.

REFERENCES

[1.] Sinnamon, J., "Co-Simulation Analysis of Transient Response and Control for Engines with Variable Valvetrains," SAE Technical Paper 2007-01-1283, 2007, doi:10.4271/2007-01-1283.

[2.] Wehrwein, D. and Mourelatos, Z., "Optimal Engine Torque Management for Reducing Driveline Clunk Using Time - Dependent Metamodels," SAE Technical Paper 2007-01-2236, 2007, doi:10.4271/2007-01-2236.

[3.] Oh, W. and Singh, R., "Examination of Clunk Phenomena Using a Non-Linear Torsional Model of a Front Wheel Drive Vehicle With Manual Transmission," SAE Technical Paper 2005-01-2291, 2005, doi:10.4271/2005-01-2291.

[4.] Mo, C., Beaumount, A., and Powell, N., "Active Control of Driveability," SAE Technical Paper 960046, 1996, doi:10.4271/960046.

[5.] Yoo, J., Lee, H., Jang, J., Hwang, O. et al., "Automated Optimizing Calibration of Engine Driveability on the Dynamic Powertrain Test Bed," SAE Technical Paper 2013-01-2588, 2013, doi:10.4271/2013-01-2588.

[6.] Jayaraman, H., Rao, N., Muthiah, S., and Mohan, S., "Optimization of Tip-In Response Character of Sports Utility Vehicle and Verification with Objective Methodology," SAE Technical Paper 2015-01-1354, 2015, doi:10.4271/2015-01-1354.

[7.] Tsangarides, M., Tobler, W., and Heermann, C., "Interactive Computer Simulation of Drivetrain Dynamics," SAE Technical Paper 850978, 1985, doi:10.4271/850978.

[8.] Hayat, O., Lebrun, M., and Domingues, E., "Powertrain Driveability Evaluation: Analysis and Simplification of Dynamic Models," SAE Technical Paper 2003-01-1328, 2003, doi:10.4271/2003-01-1328.

[9.] Millo, F., Ferraro, C., Mallamo, F., and Pilo, L., "Numerical Simulation to Improve Engine Control During Tip-In Manoeuvres," SAE Technical Paper 2003-01-0374, 2003, doi:10.4271/2003-01-0374.

[10.] Gotoh, K. and Yakoub, R., "Development of High Fidelity Combustion-Driven Vehicle Models for Driveability Using Advanced Multi-Body Simulations," SAE Technical Paper 2007-01-1634, 2007, doi:10.4271/2007-01-1634.

[11.] Krenz, R., "Vehicle Response to Throttle Tip-In/Tip-Out," SAE Technical Paper 850967, 1985, doi:10.4271/850967.

[12.] Albers, A., Zingel, C., Zehetner, J., and Meitz, K., "Influence of Low-Frequency Powertrain-Vibrations on Driveability-Assessments," SAE Technical Paper 2010-01-1419, 2010, doi:10.4271/2010-01-1419.

[13.] Gurm, J., Chen, W., Keyvanmanesh, A., Abe, T. et al., "Transient Clunk Response of a Driveline System: Laboratory Experiment and Analytical Studies," SAE Technical Paper 2007-01-2233, 2007, doi:10.4271/2007-01-2233.

[14.] Shiozaki, H., Geluk, T., Daenen, F., Iwanaga, Y. et al., "Time-domain Transfer Path Analysis for Transient Phenomena Applied to Tip-in/Tip-out (Shock & Jerk)," SAE Technical Paper 2012-01-1545, 2012, doi:10.4271/2012-01-1545.

[15.] Rao, M., Moorthy, S., and Raghavendran, P., "NVH Analysis of Powertrain Start/Stop Transient Phenomenon by using Wavelet Analysis and Time Domain Transfer Path Analysis," SAE Technical Paper 2015-01-2293, 2015, doi:10.4271/2015-01-2293.

[16.] Yue, Y., Allgaier, R., Jaber, N., and Wang, A., "Brake Noise Study (Part I) - Low Frequency Squeal," SAE Technical Paper 2006-01-0474, 2006, doi:10.4271/2006-01-0474.

[17.] Iyer, G., Mohan, S., Rao, N., and Unnithan, S., "Evaluation of Dynamic Characteristics of an Automotive Exhaust System using Operational Modal Analysis (OMA) and Experimental Modal Analysis (EMA)," SAE Technical Paper 2013-01-2903, 2013, doi:10.4271/2013-01-2903.

[18.] Toome, M., "Operational Transfer Path Analysis: A study of Source Contribution Predictions at Low Frequency," Master's thesis, Sound and Vibration, 2012.

[19.] De Klerk, D., and Ossipov, A., "Operational Transfer Path Analysis: Theory, Guidelines & Tire Noise Application," MSSP 24(7), 2010, doi:http://dx.doi.org/10.1016/j.ymssp.2010.05.009.

[20.] Jimbo, T., Hibino, R., Yamaguchi, H., "Multiway Analysis of Vehicle Acceleration Behavior," ISMA2014, 2014.

[21.] Harshman, R.A., "Foundations of the PARAFAC Procedure: Models and Conditions for an "Explanatory" Multimodal Factor Analysis," UCLA Working Papers in Phonetics, 1970.

[22.] Kroonenberg, P.M., "Three-Mode Principal Component Analysis," DSWO Press, Leiden, 1983.

Ryoichi Hibino, Tomohiko Jimbo, Hiroyuki Yamaguchi, and Yasuaki Tsurumi

Toyota Central R&D Labs., Inc.

Hideaki Otsubo and Shinji Kato

Toyota Motor Corporation

CONTACT INFORMATION

Ryoichi Hibino, Ph.D.

TOYOTA CENTRAL R&D LABS., INC

41-1, Yokomichi, Nagakute, Aichi, 480-1192, Japan

hibino@mosk.tytlabs.co.jp

ACKNOWLEDGMENTS

The authors would like to thank Masanobu Kimura at Toyota Central R&D Labs., Inc. for the production of the measurement system.

APPENDIX

Figure A1 shows the definitions of the variables, which are the acceleration, the angular acceleration, the position at the center of gravity, and the acceleration and position of sensor 1. There is a relationship between these variables, given by Equation (A1), because it can be assumed that the rotational motion of the engine block is small. The acceleration and angular acceleration of the center of gravity can be calculated using this equation. However, as is obvious from this equation, all motions with six degrees of freedom cannot be decided using only the data from one sensor (three axes). The minimum requirement is data from three sensors, which should not be located on the same line, as shown in the figure. The motion at the center of gravity can be calculated using the three simultaneous equations, which are acquired by substituting the data from the three sensors into Equation (A1).

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (A1)

Table 1. Measured components and conditions. Acceleration in chassis system Engine block, lower arm, subframe Rotational speed Engine, transmission, wheel Measurement conditions 2nd, 40 km/h, tip in acceleration Target vehicle Naturally aspirated 2.5 L engine, 6-speed AT Table 2. Variables and parameters of principle model. [[theta].sub.b] Angular acceleration of engine block (rotation) [[theta].sub.e] Angular acceleration of engine crankshaft [[theta].sub.m] Angular acceleration of turbine shaft [[theta].sub.w] Angular acceleration of wheel [x.sub.w] Acceleration of lower arm (translation) [x.sub.v] Acceleration of vehicle body (translation) [x.sub.b] Acceleration of engine block (translation) [[tau].sub.e] Engine torque [[tau].sub.b] Transfer torque of engine mount (pitch) [[tau].sub.m] Transfer torque of damper [[tau].sub.ds] Transfer torque of drive shaft [F.sub.d] Driving force of tire [F.sub.sus] Transfer force of unsprung (force of bush) [F.sub.b] Transfer force of engine mount (translation) [F.sub.r] Force of running resistance [J.sub.b] Inertia of engine block (rotation) [J.sub.e] Inertia of engine [J.sub.m] Inertia of turbine [J.sub.w] Inertia of wheel [M.sub.w] Mass of lower arm [M.sub.v] Mass of vehicle body [M.sub.b] Mass of engine block [d.sub.m] AT gear ratio * counter gear ratio * differential gear ratio [r.sub.w] Radius of tire [[theta].sub.b] rad/s [[theta].sub.e] rad/s [[theta].sub.m] rad/s [[theta].sub.w] rad/s [x.sub.w] m/s [x.sub.v] m/s [x.sub.b] m/s [[tau].sub.e] Nm [[tau].sub.b] Nm [[tau].sub.m] Nm [[tau].sub.ds] Nm [F.sub.d] N [F.sub.sus] N [F.sub.b] N [F.sub.r] N [J.sub.b] kg[m.sup.2] [J.sub.e] kg[m.sup.2] [J.sub.m] kg[m.sup.2] [J.sub.w] kg[m.sup.2] [M.sub.w] kg [M.sub.v] kg [M.sub.b] kg [d.sub.m] -- [r.sub.w] m Table 3. Parameters of transfer characteristics. [k.sub.dS], [C.sub.ds] Stiffness and damping of drive shaff [k.sub.m], [c.sub.m] Stiffness and damping of damper [k.sub.1], [c.sub.1] Stiffness and damping of engine mount (translation) [k.sub.2], [c.sub.2] Stiffness and damping of engine mount (translation-rotation) [k.sub.3], [c.sub.3] Stiffness and damping of engine mount (rotation) [C.sub.d] Coefficient of tire force [k.sub.sus], [c.sub.sus] Stiffness and damping of unsprung (translation) dlt2 Equivalent width of backlash (at drive shaft) [k.sub.dS], [C.sub.ds] Nm/rad, Nms/rad [k.sub.m], [c.sub.m] Nm/rad, Nms/rad [k.sub.1], [c.sub.1] N/m, Ns/m [k.sub.2], [c.sub.2] N/rad, Ns/rad [k.sub.3], [c.sub.3] Nm/rad, Nms/rad [C.sub.d] Ns/m [k.sub.sus], [c.sub.sus] N/m, Ns/m dlt2 rad

Printer friendly Cite/link Email Feedback | |

Author: | Hibino, Ryoichi; Jimbo, Tomohiko; Yamaguchi, Hiroyuki; Tsurumi, Yasuaki; Otsubo, Hideaki; Kato, Shin |
---|---|

Publication: | SAE International Journal of Passenger Cars - Mechanical Systems |

Article Type: | Report |

Date: | Apr 1, 2016 |

Words: | 5614 |

Previous Article: | Determination of transmission and insertion loss for the general multi-inlet multi-outlet case. |

Next Article: | Study on a closed-loop coupling model without coupling spring. |

Topics: |