SAE International Journal of Electrified Vehicles
2024 Focus Issue: Eco-Driving of Connected Electrified Vehicles in Intelligent Transportation Systems JRN-EV-SI-02

Volume 13, Issue 1, 2024

All articles in this focus issue have been carefully selected to highlight new theories, methods, algorithms, testing platforms, implementation, and evaluation of eco-driving of connected electrified vehicles in intelligent transportation systems.

Focus Issue Co-Editors:
Ziyou Song, National University of Singapore, Singapore
Shuo Feng, Tsinghua University, China
Guoyuan Wu, University of California, Riverside, USA
Zhaojian Li, Michigan State University, USA

The SAE International Journal of Electrified Vehicles provides a forum for peer-reviewed scholarly publication of original research and survey papers that address novel modeling tools, control and optimization methods applied to components, systems, and technologies concerning electrified powertrains (hybrid or full electric)–ground, aerial, and naval.

Driven by the rapid development of connectivity, autonomy, electrification, and sharing technologies, we are on the cusp of a new revolution in transportation on an unprecedented scale since the introduction of automobiles a century ago. The connectivity and autonomy technologies have significantly enhanced the observability and controllability of intelligent transportation systems, promising next-generation automotive systems with enhanced safety, comfort, and efficiency. In the meantime, new challenges have emerged in the system design, operation, and optimization within this new paradigm. In particular, the transition from traditional mechanical and fossil-fuel-powered vehicles to electrified vehicles introduces new characteristics and requirements, which make the challenges and opportunities even more complicated. To address them, advanced methodologies have been developed in recent years, particularly on the modeling, optimization, and control of connected electrified vehicles, with the aim of reducing the energy consumption of intelligent transportation systems.

This focus issue contains nine articles pointing to intelligent decision-making of vehicles, vehicle remaining driving range prediction, energy management of vehicle powertrain, and energy-saving speed optimization. Specifically, the dynamic game theoretic is applied to electrified vehicles' economic control decision-making. Utilizing the digital twin, the vehicle's remaining driving range is predicted accurately. In terms of energy management of vehicle powertrains, the brushless motor and hybrid powertrain are controlled in an energy-efficient manner. On the topic of energy-saving speed optimization, the vehicle speed is planned at both single-vehicle and multiple-vehicle levels.

Article Titles:

- Dynamic Game Theoretic Electric Vehicle Decision Making
- Digital Twin-based Remaining Driving Range Prediction for Connected Electric Vehicles
- Design and Implementation of Adaptive and Artificial Intelligence Controller for Brushless Motor Drive Electric Vehicle
- Automated Expert Knowledge-based Deep Reinforcement Learning Warm Start via Decision Tree for Hybrid Electric Vehicle Energy Management
- Driving Cycle-Based Energy Management Strategy Development for Range-Extended Electric Vehicles
- Multi-Objective Optimization of Vehicle Following Control for Connected Electric Vehicles Based on Deep Deterministic Policy Gradient
- Speedy Hierarchical Eco-Planning for Connected Multi-Stack Fuel Cell Vehicles via Health-Conscious Decentralized Convex Optimization
- Energy-Efficient Dispatching of Battery Electric Truck Fleets with Backhauls and Time Windows
- An Energy-Efficient Merge-Aware Cruise Control Method for Connected Electric Vehicles