# Optimal Vehicle Dynamics and Powertrain Control for Connected and Automated Vehicles

## TL;DR

This paper introduces a two-level control framework for connected and automated plug-in hybrid vehicles that optimizes speed and powertrain efficiency in real-time, demonstrating benefits through simulation in vehicle networks.

## Contribution

It proposes a novel two-level control architecture specifically designed for connected and automated hybrid vehicles to enhance energy efficiency.

## Key findings

- Improved energy consumption in simulations
- Effective real-time control strategy demonstrated
- Potential for integration into vehicle networks

## Abstract

The implementation of connected and automated vehicle technologies enables opportunities for a novel computational framework for real-time control actions aimed at optimizing energy consumption and associated benefits. In this paper, we present a two-level control architecture for a connected and automated plug-in hybrid electric vehicle to optimize simultaneously its speed profile and powertrain efficiency. We evaluate the proposed architecture through simulation in a network of vehicles.