Torque Allocation of Hybrid Electric Trucks for Drivability and Transient Emissions Reduction

Abstract

This paper aims at investigating powertrain behaviour, especially in transient dynamic responses, using a nonlinear truck vehicle dynamic model with a parallel hybrid configuration. A power split control was designed to achieve the desired drivability performance, with a focus on NOx emissions. The controller was characterized by high-level model-based logic used to elaborate the total powertrain torque required, and a low-level allocation strategy for splitting power between the engine and the electric motor. The final task was to enhance vehicle drivability based on driver requests, with the goal of reducing—in a hybrid configuration—transient diesel engine emissions when compared to a conventional pure thermal engine powertrain. Different parameters were investigated for the assessment of powertrain performance, in terms of external input disturbance rejection and NOx emissions reduction. The investigation of torque allocation performance was limited to the simulation of a Tip-in manoeuvre, which showed a satisfying trade-off between vehicle drivability and transient emissions.

Special Issue on Frontiers in Hybrid Vehicles Powertrain

“…Several EMSs have been proposed in the literature [2], but this is still a major research issue. In this respect, Dimauro et al [3] investigated the transient dynamic response of a parallel hybrid electric truck. The parallel hybrid layout includes only one electric machine that can boost the tractive power during the acceleration phases or recover energy during the deceleration phases, while a direct mechanical link between the ICE and the wheel is maintained.…”

Platooning Cooperative Adaptive Cruise Control for Dynamic Performance and Energy Saving: A Comparative Study of Linear Quadratic and Reinforcement Learning-Based Controllers

“…The linear quadratic controller (see [23,24] for more details on this well-established technique) was chosen since it fits very well with the multi-input, multi-output requirement of the centralised collaborative platooning controller. To apply this technique, the platoon model was linearized and the resulting equations of motion stacked in state-space form.…”