On the Comparison of 2 ‐ and 4 ‐ Wheel ‐ Drive Electric Vehicle Layouts with Central Motors and Single ‐ and 2 ‐ Speed Transmission Systems

: Electric vehicles (EVs) are characterized by a significant variety of possible powertrain configurations, ranging from one to four electric machines, which can have an on ‐ board or in ‐ wheel layout. Multiple models of production EVs have recently been introduced on the market, with 4 ‐ wheel ‐ drive (4WD) architectures based on a central motor within each axle, connected to the wheels through a gearbox, a differential, and half ‐ shafts. In parallel, an important body of research and industrial demonstrations have covered the topic of 2 ‐ speed transmission systems for EVs, with the target of enhancing longitudinal acceleration and gradeability performance, while increasing the operating efficiency of the electric powertrain. Although several recent studies compare different electric powertrain architectures, to the best of the authors’ knowledge the literature misses a comparison between 2 ‐ wheel ‐ drive (2WD) and 4WD configurations for the same EV, from the viewpoint of drivability and energy consumption. This paper targets this gap, by assessing 2WD and 4WD powertrain layouts with central motors, for a case study light passenger car for urban mobility, including consideration of the effect of single ‐ and 2 ‐ speed transmission systems. An optimization routine is used to calculate the energy ‐ efficient gear state and/or torque distribution for each considered configuration. For the specific EV, the results highlight the favourable trade ‐ off of the single ‐ speed 4WD layout, capable of reducing the energy consumption during driving cycles by approximately 9% with respect to the conventional 2WD layout with single ‐ speed transmission, while providing satisfactory drivability and good gradeability, especially in low tire–road friction conditions. The axial position of the dog clutch for gear selection is controlled though an electro ‐ mechanical actuator. The actuator position is modeled through a pure time delay, 𝜏 , and a first order transfer function with time constant 𝜏


Introduction
Electric vehicles (EVs) are characterized by a variety of potential powertrain architectures, including one to four electric motors [1]. The electric machines can have on-board [2] or in-wheel [3] installations, depending on whether they are part of the sprung or unsprung mass of the EV. While the in-wheel configurations imply the adoption of two motors within the same axle, the on-board configurations can have either a single motor (central motor configuration) or two motors per axle. In the central motor configurations, the electric machine is connected to the wheels through a machines, do not bring the traction capability benefits of a 4WD EV architecture, unless they are replicated on both vehicle axles, which would imply the installation of four motors.
Despite the availability of studies comparing different EV powertrain architectures [30], to the best of the authors' knowledge, the literature misses a thorough performance comparison between 2WD and 4WD EV architectures with a single motor per axle, which are the focus of the current industrial interest. Moreover, although on-board electric powertrains are subject to important torsional oscillations [2], which have to be compensated by anti-jerk controllers [31], the available electric powertrain comparisons tend to overlook the drivability implications of the considered layouts. Hence, for a case study EV, this paper aims to address the identified gap through:  A drivability analysis based on the frequency and time response characteristics of 2WD and 4WD powertrain layouts, excluding and including the effect of the anti-jerk control action;  A unified optimization routine to find the energy-efficient transmission state and front-to-total torque distribution for each operating condition of the EV, to provide a fair comparison among the considered architectures;  A comparison of the resulting acceleration, gradeability and energy consumption performance.
The paper is organized as follows: Section 2 discusses the EV layouts and simulation models; Section 3 deals with the drivability assessment; Section 4 presents the unified optimization routine for energy-efficient gear selection and front-to-total wheel torque distribution; Section 5 includes the acceleration, gradeability and energy consumption results, which are followed by the conclusions.

Electric Vehicle Layouts
The case study EV platform ( Figure 1) is a light urban passenger car prototype developed by IFEVS (Interactive Fully Electrical VehicleS) within the European project PLUS-MOBY, and enhanced during the follow-up project TELL [32]. The considered EV layouts, reported in Figure 2, are:  Layout L1: a 2WD configuration with a single front 28 kW (peak power value) electric motor coupled with a single-speed transmission. The gear ratio was chosen by the involved industrial companies as a trade-off between gradeability and top speed.
 Layout L2: a 2WD configuration, which differs from L1 for the adoption of a 2-speed transmission.
The design is a cost-driven simplification of the 2-speed transmission in [14] and [18], by excluding the friction and sprag clutches, which are replaced by a dog clutch. During the gearshifts, the synchronization is controlled through the electric motor drive [20,21], at the price, with respect to the more sophisticated original design, of a wheel torque gap. The first gear ratio provides the required longitudinal acceleration and gradeability performance, while the second gear ratio ensures the desired top speed.
 Layout L3: a 4WD configuration with two 14 kW electric motors, connected to the respective axle through single-speed transmissions.
 Layout L4: a 4WD configuration, which differs from L3 for the adoption, within each axle, of the same 2-speed transmission system as in L2. In this EV layout, a torque-fill controller provides seamless gearshifts at low-to-medium wheel torque demands, through the variation of the torque on the axle not involved in the gearshift [20,21]. The EV prototype was initially implemented and experimentally tested in the L4 configuration, see [21]. The efficiency maps of the individual single-and 2-speed powertrains used in the 4WD layouts, based on the data provided by the motor and transmission manufacturers, are in Figure 3, expressed as functions of the total wheel torque and vehicle speed. The maps consider the inverter, electric machine and transmission power losses. In addition to increasing the available torque-speed region, through appropriate gear selection the 2-speed layout significantly expands the operating region where the individual powertrain efficiency exceeds 90%. To provide a fair comparison between the 2WD and 4WD EV layouts, characterized by different sizes of the individual powertrains, the efficiency maps were scaled according to the maximum motor torque.
The main parameters of the four EV architectures are in Table 1, including indication of the EV mass variation associated with the powertrain configurations.

Nonlinear Model
A nonlinear forward facing Matlab-Simulink model of the longitudinal vehicle dynamics was implemented to assess the considered EV layouts. This Section presents the main Equations describing the dynamics of the 4WD EV configuration with 2-speed transmissions, i.e., L4 (see Figure  4), since L1-3 can be considered as its subcases. The front and rear axle models include the features responsible for the first order torsional drivetrain dynamics: i) the half-shafts, modeled as a torsional spring and damper in parallel, and parametrized to include the torsional compliance of the whole driveline; and ii) the tires, simulated through the Pacejka magic formula (version 5.2) with a relaxation length model [33].
Each 2-speed transmission can operate in three conditions, governed by different Equations:  Engaged first gear, i.e., with the dog clutch engaged such that the primary and secondary shafts rotate according to the first gear ratio;  Engaged second gear, i.e., with the dog clutch engaging the corresponding gear;  Disengaged gear: in this condition the drivetrain is characterized by two degrees of freedom, as the electric motor is decoupled from the secondary transmission shaft. At the EV level, these conditions allow for a total number of eight states, as indicated in Table 2. The Equations are reported for the front axle only, as the front and rear drivetrains are identical. As the assessed scenarios do not include asymmetric tire-road friction conditions on the two EV sides, for simplicity the internal dynamics of the mechanical differential are neglected, and the model considers an equivalent half-shaft and an equivalent tire per axle.
The electric motor torque dynamics are described through the combination of a pure time delay and first order transfer function: The parametrization of Equation (1) considered the expected variation of the electrical system dynamics with the motor size, i.e., larger machines are usually characterized by larger values of their time constant. More specifically, in the following analyses, a time constant 25 ms was selected for the larger motors of the 2WD EV configurations, and 12.5 ms was chosen for the machines of the 4WD layouts. In first gear, the torque balance of the powertrain is given by In Equation (2), the transmission efficiency, , can be reversed depending on the direction of the power flow through the coupling, and is expressed through a look-up table, as a function of the input torque, speed, and operating temperature. The equivalent mass moment of inertia of the drivetrain in first gear is: In second gear, the system dynamics are expressed by replacing the gear ratio in Equation (2), while the equivalent mass moment of inertia of the drivetrain is: In conditions of disengaged gear, the primary and secondary shafts are decoupled, and the drivetrain has two degrees of freedom, i.e., the first one for the rotating parts of the electric motor and transmission system components rigidly connected to the primary shaft, and the second one for the transmission components rotating together with the differential: where: The axial position of the dog clutch for gear selection is controlled though an electro-mechanical actuator. The actuator position is modeled through a pure time delay, , and a first order transfer function with time constant : The simulation model of L4 includes the gearshift algorithm with torque-fill capability, discussed and experimentally evaluated in De Pinto et al. [21], which modifies the torque demand on the axle not involved in the gearshift to compensate for the torque gap on the other axle.
The wheel dynamics are described by: where is the braking torque on each front corner, and is the rolling resistance torque of the front tires. The delayed tire torque, , i.e., the moment corresponding to the actual longitudinal tire forces, is calculated through a relaxation model: where is the steady-state tire torque, corresponding to the longitudinal force output by the Pacejka magic formula model. The tire relaxation length is expressed as a function of the vertical tire load. Finally, the dynamics of the equivalent EV inertia are described by: where is the angular acceleration of the equivalent EV inertia, and is the equivalent torque corresponding to the aerodynamic drag.

Linearized Model
On-board electric powertrains are usually characterized by a rather low first natural frequency, because of the relatively large rotating inertias of the motor rotor and wheels, and low torsional stiffness of the half-shafts. Given the limited damping level of the system, torsional vibrations provoked by the electric motor torque transients are common issues that affect drivability and cause longitudinal acceleration oscillations [34]. In this context, 4WD EV configurations and 2-speed transmissions add complexity and can amplify the problem. Hence, a linearized version of the model in Section 2.2 was implemented to obtain the frequency response characteristics of the considered EV layouts in conditions of engaged gear, for torque demand inputs.
The main system nonlinearity is represented by the longitudinal tire force characteristics, which, in the linearized model, are approximated through the following linear function: where the longitudinal slip stiffness at the linearization point, , is calculated through the magic formula model. Equation (11) shows that the tire behaves like a nonlinear damper between the wheel and vehicle inertias, where the damping coefficient is a decreasing function of the wheel speed at the linearization point, , i.e., the torsional drivetrain dynamics change with speed. From the linearized model, the Bode plot of the following transfer function is considered for each EV configuration: (12) which expresses the EV acceleration, , resulting from a wheel torque demand input, . characterizes the dynamic response to a driver torque request, and thus allows to evaluate the EV drivability properties. For the 2WD layouts, and the respective Bode plot are directly derived from the linearized model formulation. In the 4WD layouts, results from the superposition of the EV response to the front and rear torque demands, and : From the definition of the front-to-total wheel torque distribution ratio , it follows that: By assuming a constant value of and the presence of a phase shift between the front and rear torque demands, is calculated as: Figure 5 reports the magnitude plots of for the considered EV configurations, for a selection of gear states (see Table 2) and front-to-total wheel torque distributions, under the assumption of using the same half-shafts for all EVs. All cases show an evident resonance peak, at a frequency that decreases when the gear ratio increases, i.e., the resonance frequency is lower in first gear in the 2-speed powertrains. The resonance frequency of the single-speed 4WD configuration is rather high because of the reduced mass moment of inertia of each downsized motor. The effect of the state selection on the resonance frequencies is significant, because of the different values of equivalent mass moment of inertia of the powertrain. In the 4WD layouts, the front-to-total torque distribution does not affect the frequency and magnitude of the resonance, if the two drivetrains are in the same gear ratio. If different gears ratios are selected, the system shows two resonance frequencies, i.e., one per drivetrain, and experiences an important variation of as a function of .  Table 2); (e) L4: 2-speed 4WD (second gear on front axle, first gear on rear axle); (f) L4: 2-speed 4WD (second gear on front and rear axles). Figure 6 is a sensitivity analysis on the effect of the phase shift between the front and rear drivetrain torque demands. During real EV operation, input torque phase shifting is inevitable, and can be caused by the variation of the wheel torque distribution decided by the energy management system, the gearshift controller, as well as the interventions of the anti-jerk and traction controllers. The phase shifts affect especially when different gear ratios are selected on the two axles, in the frequency region between the respective resonances.

Frequency Response Characteristics
The important conclusion is that the 2-speed 4WD configuration (L4) is characterized by a significantly increased complexity of its drivability response in constant gear condition, with respect to all the other layouts, and its frequency response is strongly dependent on the selected state, wheel torque distribution, and torque demand phase shift. Hence, such EV architecture needs a more  careful parametrization of the anti-jerk controller, i.e., the controller compensating for the torsional drivetrain dynamics, which must be adaptable to the variety of operating conditions of the EV.

Anti-Jerk Controller
The implemented anti-jerk controller, i.e., the controller damping the torsional drivetrain oscillations, is based on a tachometric feedback architecture [2,35], in which, in a first approximation, the corrective anti-jerk torque, , , reported for the front powertrain, is proportional to the drivetrain torsion rate (see also Figure 7). , A gain scheduling approach as a function of the vehicle speed and selected gear ratio was adopted to obtain rather uniform performance along the variety of possible operating scenarios. Appropriate activation and deactivation conditions were defined, e.g., the anti-jerk controller is not active during the interventions of the traction controller or during gearshift actuation.
The tuning of the anti-jerk controller was performed through simulation-based iterations, for a set of tip-in and tip-out tests, i.e., manoeuvres characterized by abrupt positive and negative variations of the powertrain torque. The tuning objective was to reduce the longitudinal acceleration oscillations, and in particular the first overshoot or undershoot following the torque demand variation, without excessive penalization of powertrain responsiveness.   Figure 8 presents the effect of the anti-jerk controller on the longitudinal acceleration response of the four EV configurations, along a tip-in test from an initial torque level required to keep a constant EV speed of 10 km/h, to the maximum motor torque demand. No gearshift is actuated in the 2-speed configurations. The initial gear is the first one for the layouts with 2-speed transmission systems, which, given the larger gear ratio, show higher average values of the longitudinal vehicle acceleration. The lowest steady-state value of the longitudinal acceleration is associated with the single-speed 4WD layout, and is caused by the smaller gear ratio and marginal mass increase due to the second driven axle.

Drivability Assessment
All configurations without anti-jerk control respond with major oscillations, which severely degrade drivability. The 4WD layouts are more responsive and prone to oscillations, because of the reduced time constant of their electric machines, which increases the excitation level of the torsional drivetrain dynamics. Without anti-jerk controller, in the 2-speed 2WD EV the oscillations are attenuated by the intervention of the traction controller, which reduces the wheel torque demand to prevent wheel spinning. A minor intervention of the traction controller also occurs in the single-speed 2WD case.
The proposed anti-jerk control scheme brings consistent performance improvements in all EV configurations, e.g., with a reduction of the first acceleration peak by more than 1.5 m/s 2 for the 2speed 4WD EV (L4), and a general compensation of the oscillations in less than 0.3 s after the application of the tip-in torque. For the test in Figure 8, Table 3 reports the values of typical drivability performance indicators (see also the standards ISO 2631 [36] and ISO 8041 [37]):  The fourth-power vibration dose value of the longitudinal acceleration, , evaluating the vehicle comfort level: (17) where is the difference between the actual EV acceleration profile, , and the acceleration value, , computed at the time = 1.5 s, in which the acceleration can be considered stabilized to its steady-state value in all controlled configurations:  Single-speed 2WD 2-speed 2WD Single-speed 4WD 2-speed 4WD  The root-mean-square value of , i.e., :  The difference of the resulting EV speeds at , without and with anti-jerk controller, i.e., and : ∆ which evaluates the degradation of the acceleration performance induced by the controller.
 The response time, , evaluated as the difference between the times in which the longitudinal acceleration profile crosses 90% and 10% of for the first time after the variation of the torque demand request.
 The settling time, , i.e., the time that is required for to remain within a given range of percentage (2.5%) of , evaluated in the interval , .
 The peak response time, , evaluated as the difference between the time of the first acceleration peak, and the time corresponding to the first crossing of after the variation of torque demand request.
 The overshoot, , expressed in percentage, calculated from the difference between the peak acceleration value and .
 The integral (normalized with time) of the absolute value of the anti-jerk control actions, which evaluates the magnitude of the control effort: The indicators confirm the qualitative behaviors observed in Figure 8, with the 4WD layouts characterized by higher responsiveness and reduced comfort with respect to the 2WD layouts, and a major performance improvement provided by the anti-jerk controllers in all EV configurations. In reality, when considering the operation of the EV beyond the specific tip-in test, the simplicity of the adopted 2-speed transmission layout, which is needed to limit the cost of the multiple-speed EV configurations, originates drivability limitations in maneuvers involving gearshifts at high torque demand. This is shown in the second tip-in test of Figure 9 (with a lower torque gradient than the one in Figure 8), in which: i) the 2-speed 2WD EV performs an upshift; and ii) the 2-speed 4WD EV is subject to a gearshift from the first to the second gear on the front axle, and then from the first to the second gear on the rear axle. Each gearshift has a duration of approximately 0.8 s. In these conditions, the gearshift torque-fill strategy of the 2-speed 4WD EV [21] is not effective, since the axle not involved in the gearshift is already operating at its torque limit and cannot be used for filling in the torque gap during the gearshift of the other axle. This can originate a decay of the drivability performance in real driving conditions, which shifts the balance of the comparison toward the singlespeed solutions.

Structure of the Optimization Routine
With the exception of the single-speed 2WD layout (L1), the considered EV configurations are characterized by actuation redundancy in many operating conditions, i.e., a given wheel torque demand can be achieved through multiple transmission states and/or front-to-total wheel torque distributions. Obviously, the selection of the state and torque distribution has an impact on the EV energy consumption. Therefore, for fairness of comparison, an off-line optimization routine was implemented to calculate the commands that minimize the instantaneous powertrain power loss for each EV speed and wheel torque demand. The optimal actuations are compiled in look-up tables, which are used by the on-line controllers. Because of the relatively limited number of decision variables, a brute-force search algorithm was adopted for the generation of the look-up tables.
The optimization process is summarized in Figure 10. The routine, detailed in De Pinto et al. [21] for L4, defines a grid of operating points, , , , in terms of EV speed and total wheel torque, each of them identified by the indices ℎ and (see Figure 11(a)). The limits of the grid depend on the gear ratios and motor torque characteristics of each EV architecture. In braking, the results of the optimization routine are generated up to the maximum regenerative capability of each EV configuration, see the 'Maximum possible regen. torque' curves in Figure 11(b). However, in the online implementation, the regenerative torque area has been limited as indicated by the 'Maximum actual regen. torque' characteristics. In fact, after a progressive transition from regenerative braking to dissipative braking, at very low speed it is desirable to use only the friction brakes to stop the vehicle, in accordance with the current common practice on production EVs. Note that the case study EV is characterized by a conventional hydraulic braking system, which does not allow the implementation of the most advanced continuous brake blending algorithms.
where the apparent vehicle mass, , , function of , is: / / / represents the equivalent mass moment of inertia of the rotating parts of the considered powertrain. The feasibility of a state corresponds to its capability of generating the required wheel torque at the assigned speed. An approximate option, available in the routine, is to neglect the inertial effects in Steps 1-2, which simplifies the problem without significant drawbacks, especially if the vehicle is not equipped with an on-line estimator of mass and road gradient.


Step 2: Computation of the sum, , , , , , of the transmission, electric motor, inverter and rolling resistance power losses at the selected grid point , , , for each of its feasible states andwhere relevant depending on the state-along a further grid, defined by the index , covering the feasible range of front-to-total wheel torque distributions. The front-to-total torque distribution Definition of grid points ( Vh ,Tw,j ) Step 1: Computation of ah,j,n Step 2: Computation of Ploss,h,j,n,l Step 4: Selection of new values of h and j Step The optimal front-to-total torque distribution map in traction conditions is in Figure 12(b), which shows: (i) an optimal even front-to-total wheel torque distribution region, i.e., with the same torque on the two axles, at low and high torque demands; and (ii) an optimal single axle region for medium values of torque demand. The rear axle was selected for single axle operation for the specific EV, given that the longitudinal load transfer in traction increases the longitudinal force capability of the rear axle. These results are consistent with the available literature, demonstrating that, under specific assumptions, for identical powertrains the energy-efficient torque distribution implies either single axle operation or even wheel torque distribution [38].

2-Speed 4WD Layout (L4)
In the 2-speed 4WD vehicle, both relevant variables, i.e., the transmission state and front-to-total wheel torque distribution, are optimized. The optimal maps are presented in Figure 13. The results have been post-processed and filtered to avoid irregularities, since symmetric states on the front and rear drivetrains can provide the same optimal result while leading to frequent state switching. The increased number of available gearbox states results in a more varied optimal state map. The front-to-total torque distribution map shows similar characteristics to the one of the single-speed 4WD vehicle (L3). Interestingly, a significant part of the operating region is characterized by singleaxle operation, or even distribution operation. Different levels of front-to-total wheel torque distribution occur for the states with different gear ratios on the two axles.

Acceleration and Gradeability Performance
The vehicle acceleration and top speed results for the considered EV configurations are presented in Table 4. The top speed is 78.7 km/h for the single-speed EVs, and 103.2 km/h for the 2-speed configurations; in all cases the top EV speed is limited by the maximum angular speed of the electric machines, rather than by the available motor power. Because of the higher gear ratio in first gear, the EV configurations with 2-speed transmissions show a significant improvement in the longitudinal acceleration performance below 30 km/h; on the other hand, they have higher 0-50 km/h and 0-70 km/h acceleration times, which are caused by the gearshifts and associated wheel torque gap, especially evident for the L2 case, see also Figure 9. The 0-30 km/h acceleration time is lower for L4 with respect to L2 because of the better traction capability of the 4WD layout, which does not require the intervention of the traction controller in high tire-road friction conditions. Another factor that affects the results, in particular in terms of 0-70 km/h acceleration time, is the mass of the different EV variants.
For each EV layout, Figure 14 reports the maximum achievable road gradient, as a function of: (a) the tire-road friction coefficient, from standstill conditions; and (b) vehicle speed, for high tireroad friction conditions. Although the performance of all cases is deemed adequate, the results show: i) the improved traction capability in low friction conditions provided by the 4WD layouts, which can enhance active safety on critical terrains; and ii) the enhanced gradeability in high tire-road friction conditions, offered by the layouts equipped with 2-speed transmission systems.

Energy Consumption
This Section presents two sets of energy consumption values for L2-4, corresponding to: i) the normal mode, which, for the 2-speed layouts, performs the gearshifts according to a typical gear selection map provided by the transmission manufacturer, using the current EV speed and axle torque demand. The upshift is carried out at relatively low motor speed for low torque demands, and at the speed limit of the first gear during operation at the maximum torque demand. In the 4WD configuration, to provide torque-fill functionality, the gearshift maps are characterized by an offset with respect to the EV speed, to ensure that only one gearshift is carried at a time at the vehicle level. In normal mode, the 4WD layouts operate with a 50% front-to-total wheel torque distribution; and ii) the optimal mode, using the optimal gear states and front-to-total wheel torque distributions, according to the maps obtained in Section 4. For the single-speed 2WD EV (L1), there is a single operating state, so no optimal mode is available. Table 5 presents the energy consumption results at constant speed, and their percentage difference with respect to the single-speed 2WD EV; positive differences, implying higher consumption, are in red, while negative differences are in green. The important conclusion is that, in most constant speed conditions, the additional mass of the complex powertrain configurations, which increases the wheel torque level to keep constant speed, is not compensated by the more efficient operation of the EV. This is especially evident in normal mode, in which the consumption increases with the complexity of the EV layout at all speeds, e.g., from 3.3% to 7.2% at 30 km/h, and from 0.9% to 2.8% at 70 km/h. The optimized energy management system consistently reduces the energy consumption, especially for the L4 EV, which is characterized by the highest level of operational flexibility. In L4, the energy consumption reduction associated with the optimal energy management, with respect to the normal mode for the same EV layout, is in excess of 4% at all considered speeds. In any case, at 30 km/h and 50 km/h, the most efficient configuration is the single-speed 2WD layout (L1), also in comparison with the optimal mode of the more complex EV configurations. On the other hand, interestingly, at 70 km/h in the optimal mode, both 4WD layouts consume less than L1, i.e., by 2.6% for L3, and 5.6% for L4. The energy consumption performance of the EV configurations in normal and optimal modes was assessed through the nonlinear simulation model in Section 2.2, along: i) the urban part of the New European Drive Cycle (NEDC), i.e., for four repetitions of the so-called ECE-15 cycle, and ii) the Japanese 10-15 mode test cycle (J10-15). For example, Figure 15 reports the time profiles of EV speed, front and rear motor torque as well as gear state, during a section of the J10-15, for the two modes of the 2-speed 4WD EV configuration. The torque-fill capability of L4 during gearshifts at low-tomedium torque demands is evident from: a) the regularity of the speed profile, with seamless EV acceleration also during the gearshifts, and b) the ripples in the electric motor torque profiles of the axle not involved in the gearshift, which compensate for the torque gap during the gearshifts on the other axle. The inclusion of the gearshift dynamics in the simulation model allows to realistically account for the motor drive power losses also during the state transition phases. Table 6 includes the complete set of energy consumption results. Along the selected driving cycles, L2-4 show significant energy consumption reductions, compared to the single-speed 2WD vehicle (L1); in particular, the benefit ranges from 5.7% to 8.2% in normal mode, and from 8.0% to 9.8% in optimal mode, during the NEDC; and from 3.1% to 5.9% in normal mode, and from 5.7% to 9.0% in optimal mode, during the J10-15. The analysis of the powertrain efficiency profiles in the time domain highlighted that, for the specific EV parameters, the 2-speed and 4WD configurations allow a major enhancement of the powertrain efficiency, including motor drive and mechanical transmission, for the torque levels that are typical of the acceleration/deceleration phases of the cycles. Very interestingly, in both driving schedules, the best energy consumption performance is achieved by the single-speed 4WD EV (L3), which, with respect to L1, provides the most effective trade-off between the efficiency enhancement allowed by the increased operational flexibility of the electric machines, and the penalty associated with the mass increase.  Table 6. Energy consumption results along the selected driving cycles, and their percentage difference with respect to those of the single-speed 2WD EV (L1); negative differences, implying lower consumption, are in green.

Conclusions
The implementation of 4-wheel-drive electric vehicle configurations with a single central motor per axle, as well as the adoption of 2-speed transmission systems, could lead to acceleration, gradeability and energy consumption benefits, in comparison with the conventional single-speed 2wheel-drive electric vehicle configuration. However, the existing literature lacks analyses objectively comparing 2WD and 4WD EV layouts. To cover the gap, for a case study light passenger car prototype for urban mobility, this study compared four powertrain layouts. An optimization routine for the energy-efficient selection of the gear state and front-to-total wheel torque distribution was implemented to ensure fairness of the results. Based on the analysis for the specific EV, the main conclusions are as follows:  In terms of energy consumption, for the case study EV, during constant speed operation, i.e., at low torque demands, the prevailing effect is the mass increase associated with the advanced powertrain configurations. Hence, the best energy consumption performance is provided by the conventional single-speed 2WD EV layout. On the contrary, the increased flexibility in the operating conditions of the electric powertrains, provided by the more advanced EV architectures, reduces the energy consumption along driving cycles, with the single-speed 4WD vehicle achieving the lowest consumption.
 The single-speed 4WD layout does not require transmission controllers nor gearshift actuators, and, for the case study EV, can be considered an effective configuration, achieving a good compromise between predictable drivability, acceleration performance, gradeability for a variety of friction conditions, and energy consumption.
Future developments will extend the analysis of this paper to a wider range of case study EVs, with different electric motor technologies and performance characteristics of the powertrain components, to derive general conclusions and recommendations on the convenience of the analyzed layouts.

Conflicts of interest:
The authors declare no conflict of interest.

Nomenclature
Longitudinal vehicle acceleration. Longitudinal vehicle acceleration difference with respect to the steady-state value (see Section 3). Longitudinal slip stiffness. Force. Gravitational acceleration. ℎ Index corresponding to the vehicle speed value within the discrete grid (also used as a subscript). Transfer function from wheel torque demand to angular vehicle acceleration. Transmission gear ratio. Integral (normalized with time) of the absolute value of the control action. Index corresponding to the wheel torque value within the discrete grid (also used as a subscript). Mass moment of inertia. Torsional stiffness. Anti-jerk controller gain. Index indicating the front-to-total wheel torque distribution within the discrete grid (also used as a subscript