基于增强分裂序列二次规划优化方法的 变风阻混合动力车辆队列控制策略

During the platoon driving of heavy-duty series hybrid electric vehicles (SHEVs), reducing the air drag by controlling the distance is an important way to save fuel. However, series powertrain struggles to provide timely high-power response to the demands, which makes it difficult to maintain the planned speed. Therefore, achieving fuel-efficient platoon and stable operation poses a significant challenge. This paper proposes a hybrid electric vehicle platoon control strategy with variable air drag based on improved sequential quadratic programming (ISSQP) optimization method. At the speed programing level, the influence of the distance on air drag is considered, and speed programing based on variable drag coefficient and distance is proposed. At the vehicle control level, ISSQP is designed to solve optimization and achieve real-time control. The original problem is decomposed into two sub-problems, and active set method is introduced to solve the sub-problems. It reduces the short steps with insufficient descent in the iteration process. Then, an online optimized variable domain fuzzy system is established to achieve rapid response of the engine-generator set by adjusting the power distribution. The online optimization of the parameters of the membership functions is considered. The optimization is based on real-time membership overlap degrees and center values of the fuzzy system, rather than traditional offline optimization based on posterior information of the vehicles. The results show that total energy consumption cost of the platoon is reduced by 12.5%, while ensuring stable operation of each vehicle.