• A vehicle-cloud hierarchical control architecture for predictive cruise control (PCC) is designed, utilizing waypoint structures for dynamic cooperative inter-triggering, enhancing system anti-interference and resolution efficiency.
• A novel predictive fuel-saving speed-planning (PFSP) algorithm is proposed, featuring forward optimization search without weight adjustments, demonstrating robust applicability to various road conditions and constant cruise (CC) systems.
• Field tests over 2000 km validated the effectiveness and stability of the cloud-based PCC (CPCC) system, achieving an average fuel-saving rate of 2.05%–4.39% compared to CC.
• The PFSP algorithm outperforms dynamic programming (DP) and model predictive control (MPC) in energy-saving performance without significant speed fluctuations, showing strong adaptability to CC systems.