Abstract
Compared to conventional coil springs in passenger vehicles, air springs allow the vehicle body to be leveled independently of the load while maintaining an almost constant spring rate. However, while vehicle masses are increasing, the usable installation space for the suspension and especially the body springs is constantly decreasing as battery packs for electric vehicles tend to become larger. This leads to a conflict of objectives in the design of the air spring, as a low spring rate is mainly achieved by a large air volume in the spring. By introducing adsorbents into the enclosed air volume, the spring rate can be lowered while maintaining the same installation space. Conversely, it is possible to reduce the required installation space while achieving the specified stiffness. This work provides an analytical approach for the determination of the spring stiffness of air springs filled with activated carbon. In contrast to complex numerical approaches based on substitute tests, the presented method provides a simple and application-oriented stiffness prediction for adsorbent-filled air springs under quasi-static excitation. With the validation measurements presented, this provides a robust design tool for industrial use.
1 Introduction
In the segments of mid-range and luxury vehicles, the rolling lobe air springs are an established alternative to conventional coil springs. An air suspension system enables load-independent adjustment of the ride height with constant spring characteristics. In the context of the growing popularity of electromobility, the requirements for vehicle suspensions are becoming increasingly complex. On the one hand, the vehicle masses are increasing due to the batteries. On the other hand, the available installation space for springs is becoming smaller. This leads to a conflict of objectives in the design of the air spring.
In this context, ways to lower the air spring stiffness under the same installation space are investigated [1]. By using adsorbents, air springs with the same physical installation space can be designed to be less stiff. In reverse, this makes it possible to reduce the installation space while maintaining the same target stiffness. This work shows a simple approach to predict the spring stiffness of activated carbon-filled air springs. The method presented focuses on an industrial application. It provides a simple analytical approach with measurements on the air spring itself without complex numerical simulations.
First, the function of the air spring and the principle of adsorption are explained. Based on the given context, an analytical model is derived. Subsequently, measurements for the model validation are presented and discussed.
2 Design and Function of the Air Spring
As shown in Fig. 1(a), the air spring consists of a fitting at the top, a rolling piston, and a sleeve. In order to maintain the internal pressure within the air spring, the sleeve is crimped to fitting and rolling piston. The sleeve forms a rolling fold due to the internal pressure. If an axial sleeve is used as in Fig. 1(b), an outer support is required to confine the sleeve [4]. The width of the rolling fold is therefore determined by the diameters and relative position of outer support and rolling piston.
In order to meet the comfort requirements for air springs even in smaller installation spaces, innovative approaches are being investigated to make the spring smaller while maintaining the same properties. One way to reduce the spring stiffness without changing the geometric dimensions is to induce adsorbents into the air spring volume.
3 Basics of Adsorption
Adsorption is a case of sorption and occurs when gaseous substances or substances dissolved in liquids accumulate on a solid surface [7,8]. In the case of adsorption, a distinction is made between chemical and physical adsorption, as shown in Fig. 2.
Physisorption, as physical adsorption is called, binds the adsorbate (adsorbed substance) to the solid adsorbent by means of van der Waals forces [9,10]. In physisorption, it is possible for several layers to be adsorbed, a so-called multilayer adsorption or condensation [9]. In contrast to chemisorption, the process of physisorption is reversible [10]. The reverse process to adsorption is desorption, in which the adsorbed particles are released again at the surface.
The adsorption characteristics for a material are expressed in the form of isotherms [9]. They give the amount of adsorbed substance for the respective adsorption equilibrium with identical amounts of adsorbed and desorbed particles as a function of pressure for a given temperature. Adsorption releases energy in the form of heat and is therefore an exothermic process. The enthalpy of adsorption is made up of the enthalpy of condensation and enthalpy of binding [11]. Conversely, the energy is reabsorbed during desorption, so it is endothermic. Due to the low velocities during quasi-static excitation, the adsorption enthalpy can be neglected.
4 Derivation of an Analytical Model
Based on the principles of air springs and adsorption, this chapter derives an analytical model that enables a quasi-static design of air springs filled with activated carbon. On the one hand, this is intended to demonstrate a previously missing practical approach compared to the numerical method [1]. On the other hand, this reduces the time and number of preliminary tests for the spring design while maintaining sufficient accuracy.
5 Stiffness Investigations
For the stiffness characterization, measurements are carried out on a uniaxial hydropulse test rig as shown in Fig. 4. For air springs, Ref. [14] gives guidelines on how these measurements may be carried out. Since the influence of the adsorbent on the static spring stiffness is to be investigated, measurements are carried out at 0.001 Hz and an amplitude of .
The excitation of the spring results in a hysteresis loop in the force–displacement diagram due to the carbon-black-filled elastomer sleeve [4]. The stiffness of the spring is calculated as the arithmetic mean of decompression and compression secant stiffnesses, according to Ref. [14].
The air spring used for characterization has an empty volume of and an effective area of . It is built with an axial sleeve and an outer support. The spring volume allows for adjustments between and 2775 cm3 using volume displacers as shown in Fig. 4.
5.1 Quasi-Static Stiffness Measurement.
Activated carbon monoliths in pressed form are used as the object of investigation. All monoliths used have the same properties in terms of carbon type, binder type, and mixing ratios. The measurements are carried out with different masses, in different air spring volumes, at 5, 7, 9, 11, and 13 bar filling pressure. The pressure levels chosen represent the typical pressure range in the vehicle application.
In a first investigation, the stiffness is measured for an air spring volume of at the pressures and activated carbon quantities listed in Table 1.
Using Eq. (3), the stiffness contribution from the activated carbon is calculated. The coefficients = 0.690532 mol/kg and in Eq. (7) are obtained from a non-linear regression with a least square error fit. The calculation was performed with minitab.2 Comparing the measurement data to the results of Eq. (8) for the coefficients determined, a standard deviation of 2.4% with a maximum deviation of 7.5% is obtained.
After creating the model equation and determining the coefficients, the volumes and are measured at the same pressure levels and with the different amounts of activated carbon from Table 1. It should be noted that the spring volume of can only be measured unfilled and with 121 g, 241 g, and 367 g activated carbon due to the reduced installation space caused by the volume displacer.
Applying the model from the first measurement with the volume of to the measurements with the and volumes, the deviations in Table 2 between measurement and model result.
Table 2 shows that the model, which was determined using the measurement, can be transferred to the other spring volumes. The maximum error for the tested configurations is always .
The three measurement series are now examined individually. The computed coefficients per measurement series (air spring volume) are given in Table 3.
The isotherms derived from the coefficients in Table 3 are shown in Fig. 5. From Table 3 and Fig. 5, it can be seen that only results for the measurement deviate significantly. Nevertheless, the deviation in the model approach remains below 10%. It should be noted at this point that the values of the coefficients determined from the statistics do not necessarily match the physical values. In order to investigate the influence of the compression ratio as cause for the deviations of the measurements, an amplitude response analysis was carried out. This shows that the determined stiffnesses are parallel. Thus, the mean pressure can be used in the design according to Eq. (8).
6 Comparison of Isothermal Measurement
The isotherms determined from air spring measurements in Fig. 5 should be compared with the isotherms determined using volumetry. Established measurement methods for measuring isotherms are gravimetry and volumetry [15,16]. In the gravimetric measurement of adsorption isotherms, the change in weight caused by the adsorbed molecules is measured directly on the sample using a balance. Various gases and gas mixtures as well as temperature and pressure ranges can be set.
The volumetric sorption analysis is carried out using a gas pycnometer. The sorption analysis is carried out as a function of pressure, volume, and temperature in order to calculate the amount of gas that is removed from the gas phase [17]. The ideal gas law is used as a general basis for the calculation. A schematic diagram of the gas pycnometer used is shown in Fig. 6.
Adsorption isotherms of undried monoliths of masses 121 g, 239 g, and 367 g are derived in order to examine the activated carbon under near-use conditions. As it is not possible to measure undried samples using the available gravimeter (IsoSORP SA magnetic suspension balance), a measurement with a specifically built gas pycnometer is carried out. Knowing about a significant influence of the moisture load at ambient pressure, gas pycnometer measurements are conducted relative to ambient pressure. In order to take the volumetric measurement into account in absolute terms, the substance adsorbed under ambient pressure is determined using gravimetry on dried samples. This value is then added to the isotherms as an offset. Using reference values from dried samples results in an overestimation of the isotherms, which is accepted here. The obtained results are given in Fig. 7, as well as the gravimetrically measured isotherm of the ground and dried sample. As the test chamber of the gravimeter is not large enough to hold the entire volume of a monolith, the sample mass is reduced to 19.5 g. The isotherms in Fig. 7 are shown in the net representation. It gives the additional amount of substance in the sample chamber. Further information on the different types of representation of isotherms can be found in Refs. [15,18].
Figure 7 shows a high degree of agreement between the adsorbed substance quantities for all masses investigated using volumetry. The gravimetrically determined isotherm is as well shown in Fig. 7. Here it can be seen that there is a slight deviation. This may be caused by the different sample quantities or by the moisture loading of the sample in the volumetry.
However, if the adsorption isotherms from the volumetry are compared to those from the air spring in Fig. 7, a clear deviation can be seen. As both the air spring measurement and the volumetry measurement were carried out under the same conditions, the cause cannot be attributed solely to the moisture loading of the activated carbon. This is confirmed by the small deviation between gravimetry and volumetry.
In the comparison between volumetry and air spring measurement, the coefficients in Table 4 result from the non-linear regression according to Eq. (5).
The data from Table 4 shows that the coefficients from the volumetric measurement and the air spring measurement differ significantly. From this it can be deduced, even if the coefficients from the air spring measurement were only determined statistically, that only a part of the activated carbon contributes to reducing the stiffness of the air spring.
The ratio of air spring measurement to volumetric measurement can be expressed as an efficiency value. The efficiency as a function of pressure is shown in Fig. 8.
The course of the curve in Fig. 8 illustrates that in the pressure range between 6 and 12 bar (which is relevant for the air spring), only around 45–38% of the adsorption capacity has an influence on the stiffness. The influence decreases with increasing pressure.
7 Applicability of the Model to Another Air Spring
In order to validate the derived model, it is applied to another spring. The spring used for validation has a physical air volume of and an effective area of around . The validation spring is filled with 367 g of activated carbon.
As with the reference air spring tests in the previous chapters, here too an empty measurement is preceded by the activated carbon test. The deviations between measurements and model for the validation air spring are given in Table 5. The model derived from the studies is also used (Table 3).
Table 5 shows the model agreement for reference and validation measurements. This shows that the analytical approach developed provides a simple and good prediction without complex numerical simulations for the quasi-static stiffness design when results from a blank measurement are available.
8 Deriving a Volume Saving Chart
Especially in the early development phase, it is helpful to estimate the volume saving by activated carbon for an initial approximate design. The air volume adsorbed by the activated carbon is derived from the air spring measurements using the isotherm given in Fig. 7 and the ideal gas law (Eq. (4)) as a function of pressure and mass. Figure 9 provides absolute volume savings by means of adsorption for different activated carbon masses.
The typical operational pressure ranges for air springs lie between 8 and 12 bar. Assuming a maximum filling quantity of 500 g of the activated carbon configuration at hand, around 450 and of installation space volume can be saved while maintaining the same static spring characteristic.
9 Conclusion
In order to ensure the required stiffness and the associated comfort in the increasingly limited installation space of vehicle suspensions, new concepts are constantly being developed both in the area of conventional springs and air springs. In the area of air springs, the use of activated carbon is one way to make the spring less stiff while maintaining the same geometric volume.
This text describes a simple analytical method that makes it possible to predict the stiffness of air springs filled with activated carbon. To do this, it is necessary to know the basic stiffness of the air spring without activated carbon. This can be obtained through a blank measurement or based on a preliminary design. An isotherm is derived via a series of measurements in which the amount of activated carbon varied. This is done using a non-linear regression based on the derived equation. The determined isotherm is then used to derive the quasi-static spring stiffness. The method is validated with measurements on one activated carbon configuration.
Using the measurements and the analytical model, the additional air spring volume can be given as a function of activated carbon mass and filling pressure. This is particularly useful in the early phase of development. Reference measurements with other air spring volumes and an additional reference air spring module have shown that the model can be transferred.
Since vehicle springs are rarely subjected to solely static loads, the model presented here should be expanded to include the dynamic range of air springs.
Footnote
minitab is a software for the statistical analysis of data.
Acknowledgment
The authors express their thanks to Vibracoustic SE & Co. KG, especially Mr. Koos, Mr. Zeeck, and the air spring Division for their cooperation as well as for their support of the research project in terms of content and funding.
Conflict of Interest
This article does not include research in which human participants were involved. Informed consent not applicable. This article does not include any research in which animal participants were involved.
Data Availability Statement
The datasets generated and supporting the findings of this article are obtainable from the corresponding author upon reasonable request.