Electrical engineering

Physics

Aerospace engineering

Automotive engineering

Energy (signal processing)

Mathematics

Cruise control

Algorithm

Statistics

Mathematical optimization

Engineering

Artificial intelligence

Power (physics)

Control (management)

Electric vehicle

Range (aeronautics)

Transport engineering

Energy consumption

Driving range

Speed limit

Computer science

Fuel efficiency

Quantum mechanics

Time horizon

Control theory (sociology)

State (computer science)

Optimal control

IEEE Transactions on Intelligent Vehicles

Speed advisory systems have been proposed for connected vehicles in order to minimize energy consumption over a planned route. However, for their practical diffusion, these systems must adequately take into account the presence of preceding vehicles. In this paper, a safe- and eco-driving control system is proposed for connected and automated vehicles to accelerate or decelerate optimally while guaranteeing vehicle safety constraints. We define minimum intervehicle distance and maximum road speed limit as state constraints, and formulate an optimal control problem minimizing the energy consumption. Then, an analytical state-constrained solution is derived for real-time use. A feasible range of terminal conditions is established, and such conditions are adjusted to guarantee the existence of the analytical solution. The proposed system is evaluated through simulation for various driving scenarios of the preceding vehicle. Results show that it can significantly reduce energy consumption and also avoid collision without increasing trip time. Moreover, the proposed system can serve as an energy-efficient advanced cruise control by setting a short prediction horizon.

Safe- and Eco-Driving Control for Connected and Automated Electric Vehicles Using Analytical State-Constrained Optimal Solution