Optimal Thermal Management, Charging, and Eco-driving of Battery Electric Vehicles

  title={Optimal Thermal Management, Charging, and Eco-driving of Battery Electric Vehicles},
  author={Ahad Hamednia and Nikolce Murgovski and Jonas Fredriksson and Jimmy Forsman and Mitra Pourabdollah and Viktor Larsson},
—This paper addresses optimal battery thermal man- agement (BTM), charging, and eco-driving of a battery electric vehicle (BEV) with the goal of improving its grid-to-meter energy efficiency. Thus, an optimisation problem is formulated, aiming at finding the optimal trade-off between trip time and charging cost. The formulated problem is then transformed into a hybrid dynamical system, where the dynamics in driving and charging modes are modeled with different functions and with different state… 

Computationally Efficient Approach for Preheating of Battery Electric Vehicles before Fast Charging in Cold Climates

: This paper investigates battery preheating before fast charging, for a battery electric vehicle (BEV) driving in a cold climate. To prevent the battery from performance degradation at low

Optimal Thermal Management and Charging of Battery Electric Vehicles over Long Trips

—This paper studies optimal thermal management and charging of a battery electric vehicle driving over long distance trips. The focus is on the potential benefits of including a heat pump in the



The Mathematical Theory of Optimal Processes

Electric Vehicle Eco-driving under Wind Uncertainty

This paper addresses eco-driving of an electric vehicle driving in a hilly terrain under stochastic wind speed uncertainty using a deterministic controller and finds that the optimised speed trajectories always remain within the limits and the violation on the trip time limit is only 8%.

and a at

The xishacorene natural products are structurally unique apolar diterpenoids that feature a bicyclo[3.3.1] framework. These secondary metabolites likely arise from the well-studied, structurally

Time Optimal and Eco-driving Mission Planning under Traffic Constraints

A nonlinear program (NLP) is formulated, where the mission start time is allowed to vary within an interval and final time is kept free to find the optimal trade-off between energy consumption and travel time.

Optimal Eco-Driving of a Heavy-Duty Vehicle Behind a Leading Heavy-Duty Vehicle

We propose an eco-driving technique for a heavy-duty ego vehicle that drives behind a leading heavy-duty vehicle. By observing a decrease in speed of the leading vehicle when driving uphill, its

A Minimum Principle-Based Algorithm for Energy-Efficient Eco-Driving of Electric Vehicles in Various Traffic and Road Conditions

An optimization algorithm for energy-efficient driving of electric vehicles based on Pontryagin's Minimum Principle, which handles the perturbation to the system dynamics and the constraints to the control and state variables.

Joint Propulsion and Cooling Energy Management of Hybrid Electric Vehicles by Optimal Control

An optimal control methodology for the energy management (EM) of a series hybrid electric vehicle (HEV) with consideration of ancillary cooling losses, to minimize fuel consumption is developed.

Computationally Efficient Algorithm for Eco-Driving Over Long Look-Ahead Horizons

This paper presents a computationally efficient algorithm for eco-driving over long prediction horizons using real-time iteration sequential quadratic programming scheme in a model predictive control framework.

ITF Transport Outlook 2019

  • Economics
    ITF Transport Outlook
  • 2019
This edition presents an overview of long-run scenarios for the development of global passenger and freight transport volumes, with emphasis on changes in global trade flows and the consequences of

Cabin and Battery Thermal Management of Connected and Automated HEVs for Improved Energy Efficiency Using Hierarchical Model Predictive Control

A hierarchical two-layer MPC scheme which exploits vehicle speed and traffic preview predictions over short and long prediction horizons to schedule optimal thermal trajectories for the cabin and battery cooling in hybrid electric vehicles (HEVs) via a novel intelligent online constraint handling (IOCH) approach.