Hierarchical eco?driving control strategy for hybrid electric vehicle platoon at signalized intersections under partially connected and automated vehicle environment

In recent years, eco-driving for hybrid electric vehicles (HEVs) has been studied with the emerging connected and automated vehicle (CAV) technologies to improve mobility, fuel economy safety of HEVs. This paper develops a hierarchical control strategy HEV platoons consisting CAVs human-driven (HDVs) at signalized intersections. For each platoon, speed trajectories are optimized in upper layer controller using model predictive (MPC) minimize total consumption whole platoon. HEV, optimal power split between engine battery is obtained lower adaptive equivalent minimization (A-ECMS). The time-varying powertrain efficiencies HEVs explicitly considered trajectory optimization. At last, simulation studies conducted MATLAB VISSIM evaluate performances mixed traffic scenarios different CAV penetration rates. Simulation results indicate that compared single strategy, proposed can average by up 8.34% considering optimization further reduce 1.23%.