An Energy-Efficient Lyapunov-Based Cooperative Adaptive Cruise Controller for Electric Vehicles
Researchers' novel CACC algorithm cuts energy use nearly 40% by optimizing acceleration and regenerative braking.
A team of researchers has published a paper detailing a significant breakthrough in making connected electric vehicle (EV) platoons far more energy efficient. Their work, "An Energy-Efficient Lyapunov-Based Cooperative Adaptive Cruise Controller for Electric Vehicles," addresses a critical gap in conventional CACC algorithms, which often neglect the specific dynamics of EV acceleration and regenerative braking. The authors—Hamed Faghihian, Parisa Ansari Bonab, and Arman Sargolzaei—propose a novel third-order dynamic model for EVs built from experimental data, forming the foundation for their new controller.
The core innovation is a practical, Lyapunov-based CACC controller explicitly designed for EV platoons. This approach mathematically guarantees string stability (preventing dangerous traffic wave amplification) while requiring lower control gains, which translates to smoother operation. The controller's primary achievement is its dramatic impact on energy consumption. Through both simulation and experimental validation, the team demonstrated that their system reduces velocity fluctuations, maintains stability at lower following distances (headway times), and most impressively, improves the overall energy efficiency of the CACC platoon by up to 38.5% compared to a standard baseline controller.
This research, hosted on arXiv and slated for publication in IEEE Transactions on Intelligent Transportation Systems, moves beyond theoretical control theory into practical, validated application. By deeply integrating the unique powertrain characteristics of electric vehicles—specifically the energy recovery potential of regenerative braking—into the cooperative driving algorithm, the work provides a clear pathway to extending EV range and reducing the energy footprint of future automated road transport.
- Proposes a novel Lyapunov-based CACC controller for EVs, improving platoon energy efficiency by up to 38.5%.
- Uses a third-order dynamic model derived from real-world data, explicitly accounting for EV acceleration/regenerative braking.
- Ensures string stability with lower control gains, allowing for smoother operation and reduced velocity fluctuations.
Why It Matters
Directly extends EV range and reduces energy costs for future automated trucking and ride-sharing fleets.