A simulation-based case study for powertrain efficiency improvement by automated driving functions

TL;DR: In this article, a nonlinear MPC (NMPC) formulation in space domain is proposed to overcome the drawbacks of LMPC in time domain, where the nonlinear equality constraints are relaxed to inequality constraints to yield a convex optimization problem and the relaxed optimization problem can be recast as a second-order cone programming (SOCP) problem, for which the efficient numerical optimizers exist.

TL;DR: This article presents a methodology that enables developers to obtain deep and highly realistic system insights, taking into account the mutual interactions among the domains of traffic flow control, powertrain control, component design, and intervehicle communication, and demonstrates that this algorithm enables performance to be maintained using electric motors with reduced specifications.

TL;DR: It is shown that electrified powertrains can profit the most when the time-gap to the preceding vehicle is maintained at a high level and for a conventional powertrain, this effect is less pronounced and can be attributed to the efficiency characteristics of gasoline engines.

TL;DR: Predictive cruise control functions designed to reduce the energy consumption of intelligent and automated vehicles require an accurate prediction of the upcoming traffic situation in general and the preceding vehicle in particular, and prediction algorithms based on Conditional Linear Gauss models and Deep Neural Network were trained using real-world measurements in an urban setting.

TL;DR: A new QP solver, QPKWIK, is presented, based on the dual algorithm of Goldfarb and Idnani, that is especially well-suited for process and real-time optimization and is also able to determine a search direction when infeasible QP subproblems are encountered by relaxing the equality constraints without violating the simple bounds on the variables.

TL;DR: In this article, the authors designed constrained optimization control techniques with preview to derive optimal velocity trajectories in longitudinal vehicle following mode, while ensuring that the gap from the lead vehicle is both safe and short enough to prevent cut-ins from other lanes.

TL;DR: The Real-Driving-Emissions-Homologation (RDE) with Euro 6c bedeutet vor allem eine Effektivitaetssteigerung der Emissionslimits with Hinblick auf die reale Nutzung as discussed by the authors.

TL;DR: In this paper, the Einsatzzweck betrachtet werden, der besonders deutlich wird wird, wenn Nutzkraftfahrzeuge mit einbezogen.