Research Article  Open Access
Francesco Bottiglione, Giuseppe Carbone, Leonardo De Novellis, Luigi Mangialardi, Giacomo Mantriota, "Mechanical Hybrid KERS Based on Toroidal Traction Drives: An Example of Smart Tribological Design to Improve Terrestrial Vehicle Performance", Advances in Tribology, vol. 2013, Article ID 918387, 9 pages, 2013. https://doi.org/10.1155/2013/918387
Mechanical Hybrid KERS Based on Toroidal Traction Drives: An Example of Smart Tribological Design to Improve Terrestrial Vehicle Performance
Abstract
We analyse in terms of efficiency and traction capabilities a recently patented traction drive, referred to as the double roller fulltoroidal variator (DFTV). We compare its performance with the single roller fulltoroidal variator (SFTV) and the single roller halftoroidal variator (SHTV). Modeling of these variators involves challenging tribological issues; the traction and efficiency performances depend on tribological phenomena occurring at the interface between rollers and disks, where the lubricant undergoes very severe elastohydrodynamic lubrication regimes. Interestingly, the DFTV shows an improvement of the mechanical efficiency over a wide range of transmission ratios and in particular at the unit speed ratio as in such conditions in which the DFTV allows for zerospin, thus strongly enhancing its traction capabilities. The very high mechanical efficiency and traction performances of the DFTV are exploited to investigate the performance of a flywheelbased Kinetic Energy Recovery System (KERS), where the efficiency of the variator plays an important role in determining the overall energy recovery performance. The energy boost capabilities and the roundtrip efficiency are calculated for the three different variators considered in this study. The results suggest that the energy recovery potential of the mechanical KERS can be improved with a proper choice of the variator.
1. Introduction
Recent developments in the automotive field are related to the design of drivetrains with the aim of improving the exploitation of the thermal engine, according to the requirements of reduction of fuel consumption and polluting emissions [1–3].
To achieve these targets, hybrid powertrains are being studied and developed. Among all possibilities, some research works claim that mechanical hybrids are more efficient and give the greatest advantages in terms of reduction of fuel consumption and polluting emissions. Several investigations have been made to estimate the effective benefits that such systems can give in mainstream cars and trucks at the present stateoftheart. Computational results demonstrate that a fuel economy improvement up to 25% can be obtained in mainstream passenger cars and trucks, which can also be improved further with engine downsizing [4–7]. Continuously variable drives are the core of mechanical hybrids. Chain/belt continuously variable transmissions (CVTs) have been widely studied either theoretically either experimentally [8–10]; however, limitations of the maximum transmittable torque and of control possibilities made the toroidal traction variators a valid alternative for the development of CVT drivetrains [11]. A toroidal traction drive is made of input and output disks, which are coupled, respectively, with drive and driven shafts and shaped in such a way to realize a toroidal cavity. A power roller, rotating inside the toroidal cavity, is employed to transfer torque from the drive disk to the driven one, by means of shearing action of elastohydrodynamic oil film; furthermore, the tilting of the power roller allows shifting maneuvers. Referring to the toroidal variators which are actually on the market for automotive applications, the basic geometric distinction is on the position of the roller tilting center (point O in Figure 1), which may coincide or not with the center of the toroidal cavity. In the first case one obtains the so called fulltoroidal variator (see Figure 1(b)) in the second case the halftoroidal variator is obtained (see Figure 1(a)). In Figure 1(c), a new patented toroidal geometry [12], the socalled double roller full toroidal variator (or DFTV), is shown; two counterrotating rollers are arranged inside the fulltoroidal cavity, with the aim to reduce the spin losses at the rollerdisk contact; also, the roller conical shape allows to balance the normal forces, thus making the employment of a thrust rollerbearing unnecessary. In this way, the main advantages of the two singleroller toroidal geometries (i.e., the SHTV and SFTV) can be combined leading to significant improvements of the overall transmission efficiency [13, 14]. The ratio spread and the efficiency of the variable drives are key features for application to mechanical hybrid systems. A compromise between a large ratio spread and a good efficiency in both forward and reverse operation must be found to optimize the operating conditions of the KERS. It has been shown (see [15]) that shunted CVT architectures ([16, 17]) which enlarge the ratio spread of the variable drive, cannot improve the performance of the KERS as a consequence of a loss of efficiency, in particular in reverse operation (see also [18]). For these reasons, in this paper, we focus on the performance of standard toroidal traction drive geometries with speed ratio covering the range from 0.5. to 2. In particular, a fully flooded elastohydrodynamiclubrication (EHL) model is presented to analyze, in terms of traction and efficiency performance, a recently patented toroidal traction drive variator (the DFTV) and compare it with more standard solutions as the single roller fulltoroidal variator (SFTV) and the single roller halftoroidal variator (SHTV). The results are used to investigate the performance of a flywheelbased Kinetic Energy Recovery System (KERS) where the efficiency of the variator plays an important role in determining the overall energy recovery performance.
2. Traction and Efficiency of Toroidal Drives
In this section, we define the main geometric and kinematic characteristics of the toroidal variators. In Figure 2, is the first principal radius of the input and output disc, and are the second principal radii, respectively, of the input and output discs. In the case of the DFTV, each power roller has a conical part and a toroidal part; the rollers are in contact along the conical part, whilst the toroidal part is shaped as a typical halftoroidal roller and it is in contact with the input or output disc. We call the curvature radius of a section perpendicular to the roller axis, and is the second principal radius. For practical aspects, it is useful to define the conformity ratio and the aspect ratio , where is the eccentricity. An important control parameter is the tilting angle . We can express the dimensionless disks curvature radii formulation as a function of the cone angle and of the tilting angle (see Figure 2) as and , where and . From geometric relations, we also obtain . We also define the geometric speed ratio as the ratio of the radial coordinates and ; namely, . Said the input angular velocity and the rotational speed of the output disc, we define the speed ratio as . Percentage differences of the velocities of the sliding contact pairs are taken into account by defining input and output creep coefficients, respectively, that is, and . The rollerroller slip coefficient is defined as , where and are the angular velocities of the two counterrotating rollers. The transmission ratio can be expressed as with . For each roller of the roller pair, we can define the point , which represents the point of intersection of the tangents to the toroidal cavity at the rollerdisk contact points, and is defined as the intersection point of the roller and disk rotation absolute axes. The angular velocities of the roller relative to the input and output disks, and have spin velocity components, and , which can be directed inwards or outwards. By choosing a proper value of the cone incidence angle , it is possible to have zero spin velocities at . The spin coefficients can be defined as Following the same approach proposed in [13, 14], let us define the traction coefficient as the ratio between the tangential force at the rollerdisk interface and the normal load and the spin momentum coefficient , where is the spin momentum and the disk radial coordinate of the contact point. From the momentum equation applied to the counterrotating rollers about each roller axis, the parameters and have been calculated according to [13, 14]. Consider considering that the angle (see Figure 2) and the radial coordinates in dimensionless form, namely, and . The term represents the dimensionless torque losses due to roller bearings on the variator roller axes, which have been evaluated according to the SKF technical documentation [19]. From the equilibrium equations of the discs, we can evaluate the effective torque coefficients at the input and output variator side as with and can be interpreted as effective torque coefficients at the input and output variator side. In the previous relations, we have considered the possibility to arrange set of rollers inside toroidal cavities. Moreover, we can express the thrust force acting in the disk axial direction as a function of the normal load and of the tilting angle : The overall mechanical efficiency can be written as A fully flooded isothermal contact model [13, 14, 20] has been utilized to calculate the shear stresses at the interface of the elements in contact, and thus, the traction and spin coefficients.
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3. The Contact Model
We distinguish the contact conditions at the rollerdisk interface, where the contact area is elliptical and at the rollerroller interface, where instead the contact area is rectangularly shaped. To study the contact between two curved profiles and , we define an equivalent Young’s modulus , expressed as a function of the elasticity modulus and Poisson’s ratio of each element in contact [20] and an equivalent curvature radius , with where the subscript refers to the roller and to the disk, and , , and (in the case of half and fulltoroidal ). The equivalent radius of curvature is then defined as In the case of rollerroller conical contact, we define , being the mean rolling radius of the conical part of the rollers, whereas . We can, then, define the equivalent radius of curvature as The results of elastohydrodynamic theory are employed to describe the lubrication regime on the contact area. In particular, we have considered the viscositypressure effect with the Roeland’s formula: Because of the very high shear rates, the lubricant shows a nonlinear relation between the shear stresses and the shear strain rates , according to the common rule used in the plasticity theory to split the shear strain along the different directions. We write where the function is representative of the nonlinear behavior of the traction oil and is the equivalent stress. By following the rheological model proposed by Bair and Winer, the function takes the form where is the limiting shear stress. The estimation of the shear strain is carried out assuming that for hardEHL conditions, the pressure distribution is close to a Hertzian distribution (except for a peak close to the trailing edge of the contact) and considering that most part of the contact is characterized by an almost constant thickness of the lubricant film, which, in turn, is calculated on the basis of EHL formulas. Therefore, we can write Recalling that the local spinsliding motion is completely determined as a function of the creep, slip, and spin coefficient, one is able to calculate the quantities , , , , and the rollerroller traction coefficient by simply integrating the tangential stress over the contact area. Once these quantities are obtained, the efficiency and overall traction performance of the variator are promptly derived (see also [13, 14]).
4. Simulation of KERS Behavior
In this section, we employ the mechanical model of the three toroidal traction drives to investigate the overall performance of a mechanical hybrid powertrain. Among all the possible configurations of mechanical hybrid powertrains [7], a flywheel KERS connected into the vehicle propshaft through a friction clutch (see Figure 3) is considered. This configuration gives larger fuel economy improvements than others when it works in synergy with stop and restart system [7]. The simulation has been performed via inverse dynamic simulator of the vehicle powertrain. The driving cycle is given as a velocity pattern, and the driveline parameters are calculated backwards with kinetic, kinematic, and efficiency models. In this paper the focus is on the energy recovery potential of the KERS, and the gearbox and the engine are not included in the model. Further investigation is needed to get the fuel economy and emissions reduction potential of the KERS. The driveline with KERS, considered in this study, is made of wheels, differential and final drive (FR), KERS driving clutch, toroidal CVT, final stepup drive, and highspeed rotating flywheel. We define two KERS performance indexes: the KERS boost and the roundtrip efficiency. In Section 2 of the driveline (see Figure 3), the torque which is necessary to drive the vehicle following the driving schedule is called , which can be positive or negative. The quantity is defined, which is equal to only when , zero otherwise. The torque that is actually given by the KERS in Section 2 is , and it can be positive (reuse mode) or negative (recovery mode). Moreover, we define: which is equal to if , zero otherwise; which is equal to if , and zero otherwise. The KERS boost is defined as where is the time duration of one driving cycle and is the angular velocity of shaft 2. The KERS boost is the energy given by the KERS to the vehicle propshaft per cycle, divided by the energy that is needed to follow the driving schedule per cycle and calculated in Section 2 of the driveline.
The round trip efficiency is calculated as: The round trip efficiency is the energy actually given by the KERS into the vehicle propshaft per cycle divided by the energy actually given by the propshaft to the KERS per cycle.
5. Results
In this section, we first present the main traction and efficiency performance of the three investigated toroidal traction drives, and afterwards we focus on the energy recovery efficiency of a KERS geometry based on these kind of transmissions. The fluid properties are reported in Table 1 and the geometrical data of the three variators in Table 2.


5.1. Traction Behavior of the DFTV
Figure 4 shows the performance in terms of traction and efficiency of the double toroidal traction drive (DFTV). Calculations have been carried out at constant values of the primary speed RPM and normal contact load kN. Interestingly, since the DFTV variator presents negligible values of spin losses at unit ratio (blue curve in Figure 4(a)), in this case the traction curve increases very fast as the creep is increased from zero. However, at different speed ratios (red curve in Figure 4(a)), and (black curve in Figure 4(a)), the presence of spin losses determines a strong decrease of traction versus creep slope. The linear behavior is observed until a creep value is reached, where the traction curve presents a typical knee that corresponds to the maximum achievable value of output dimensionless torque . In Figure 4(b) we show the variator mechanical efficiency as a function of the dimensionless input torque . It is worth noticing that at , the efficiency takes very high values, equal to about on most part of the input torque range. However, as (and therefore ) approaches its limiting value the efficiency rapidly drops because of the fast increase of the creep coefficient. At the extreme ratios: (red curve), (black curve) in Figure 4(b), the trend of the versus resembles the behavior observed for , but the efficiency values are considerably smaller over the whole torque range, with a maximum value close to .
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5.2. Comparison of DFTV, SFTV, and SHTV
Figure 5 compares quantitatively the different toroidal variators in terms of traction capabilities and efficiency. Calculations have been carried out at given constant values of the primary speed RPM and of the normal load kN. The dimensionless output torque is plotted against the overall creep coefficient , whereas the efficiency is represented as a function of the input dimensionless torque . In all cases, we observe, as expected, an almost linear increase of as is increased from zero. However, as the creep increases, the curve starts to deviate from the linear trend and reaches a saturation value in correspondence of the maximum transmissible torque. Interestingly, the slope of the linear part of the three traction curves is different for the three different variators and also changes as the geometric speed ratio is changed. In all cases, the SFTV shows a significantly worse behavior if compared to the other two typologies. More interesting is to compare the SHTV and the DFTV. At ratios and , the two variators show almost the traction capabilities however the DFTV performs significantly better than the SHTV in terms of mechanical efficiency. The DFTV strongly outperforms both in terms of traction and mechanical efficiency the SHTV at geometric speed ratio , as a consequence of the very limited amount of spin motion and spin momentum.
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5.3. KERS Performance
The simulations of KERS performance have been carried out with the data of a typical city car (more details are in [15]). The main features of the KERS device follow. We have considered a CVT KERS mass equal to about . The simulations have been performed considering a flywheel with the following characteristics: flywheel inertia , flywheel minimum velocity , and flywheel maximum velocity (upper and lower bounds have been chosen according to [17]). The mechanical hybrid under analysis can be exploited for urban driving applications. The maximum energy which can be stored in the flywheel is about 178 kJ that corresponds to the kinetic energy of the vehicle at 60 kph. The simulations have been performed following the urban FTP75 driving schedule. The driving schedule has been considered as a periodic function which must be followed by the vehicle. The state of charge of the flywheel is the same at the beginning and at the end of the cycle [4]. In order to compare the performance which can be achieved with different variators, for any given toroidal traction drive under investigation, the speed ratio of the final multiplier has been optimized and this optimal value has been used to carry out the simulations. The mechanical efficiencies of DFTV, SHTV, and SFTV have been calculated by means of the analytical models presented in previous sections. We assume that the clamping system allows to control the clamping force in order to optimize the efficiency of the toroidal traction drive for any given speed ratio and the input torque. In order to perform simulations under these working conditions, the efficiency has been calculated with the optimal value of the normalized input torque with different speed ratios, and the results are shown in Figure 6. The ratio spread of the three variators is equal to 4, with the speed ratio ranging from to . It is shown that the efficiency of the SFTV is smaller than the efficiency of the DFTV and the SHTV over the entire range of speed ratios. The DFTV outperforms the SHTV only in the intermediate range of speed ratio values. The results of our simulations are shown in Figure 7. The KERS boost (see Figure 7(a)) in the FTP75 driving schedule is equal to 20.4% with DFTV and 20.2% with SHTV (the difference is almost negligible), whereas it is equal to 18.4% in the case of SFTV. Because SFTV is the one which is currently used in mechanical hybrid systems, our results show that a correct choice of the variator may lead to an improvement of the KERS boost of about 10%. Similar results are shown in FTP driving schedule. In this case, the KERS boost is about 10.2% with SFTV, 11.3% with SHTV, and 11.5% with DFTV. As expected, the best performance are obtained in the urban drive. Figure 7(b) shows the overall roundtrip efficiency of the KERS in FTP75 and FTP driving schedules and a comparison of the results achieved with SFTV, SHTV and DFTV. The roundtrip efficiency is not much affected by the driving style, whereas the SFTV efficiency is about 7% smaller in comparison to the DFTV and the SHTV. In our analysis, we have considered a ratio spread close to 4 for all the toroidal traction drives. However, we notice that a variable drive with a larger ratio spread may perform even better provided that the efficiency remains sufficiently high [15]. However, the twofold objective of designing a variator which possesses both large ratio spread and high mechanical efficiency over the entire speed ratio range is a quite challenging task. Different variators may provide different room for further improvement, and, from this point of view, further investigations should deal with the optimization of the design of the DFTV and SHTV for application to KERS.
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6. Conclusions
We have analyzed the efficiency and traction performance of three toroidal traction drives: the SFTV, the SHTV, and the recently patented DFTV. The latter has been designed in such a way to combine the advantages of the other two existing toroidal geometries and shows enhanced efficiency and traction performance. The DFTV variator consists of a set of counterrotating conical rollers which are placed into a toroidal cavity; the geometric characteristics of the power rollers allow to reduce the spin losses in a wide range of speed ratios and to get rid of the thrust ballbearing, which contributes to the torque losses of the halftoroidal type geometry. In order to evaluate the performance of the toroidal traction drives, we have developed a fully flooded isothermal contact model, based on the results of EHL lubrication theory. Our calculations have shown the effectiveness of the DFTV geometric characteristics in terms of reduction of spin losses and improvement of the overall efficiency. The very high mechanical efficiency and traction performance of the DFTV have then been exploited to investigate the performance of a mechanical Kinetic Energy Recovery System (KERS). The energy boost capabilities and the overall round trip efficiency have been calculated for DFTV, SHTV, and SFTV, and a comparison has been discussed. The results have shown that the choice of DFTV and SHTV leads to a very significant increase of the KERS boost capability in urban drive, which is about 10% larger than the result achieved with SFTV.
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Copyright
Copyright © 2013 Francesco Bottiglione et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.