| 引用本文: | 王暮遥,杨超,王伟达,鲁哲希,杨刘权,陈瑞虎.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[J].控制理论与应用,2025,42(8):1486~1495.[点击复制] |
| WANG Mu-yao,YANG Chao,WANG Wei-da,LU Zhe-xi,YANG Liu-quan,CHEN Rui-hu.Hybrid electric vehicle platoon control strategy considering variable air drag based on improved sequential quadratic programming optimization method[J].Control Theory & Applications,2025,42(8):1486~1495.[点击复制] |
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| 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 |
| Hybrid electric vehicle platoon control strategy considering variable air drag based on improved sequential quadratic programming optimization method |
| 摘要点击 1642 全文点击 194 投稿时间：2024-01-20 修订日期：2025-06-17 |
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| DOI编号 10.7641/CTA.2025.40056 |
| 2025,42(8):1486-1495 |
| 中文关键词 车辆编队 混合动力车辆 功率控制策略 模糊系统 序列二次规划 |
| 英文关键词 platoon hybrid electric vehicle power control strategy fuzzy system sequential quadratic programming |
| 基金项目 |
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| 中文摘要 |
| 在重型串联混合动力车辆的编队行驶过程中,通过控制车距来减少受到的空气阻力是车队节能的重要途
径. 然而受发动机升功率限制,串联混合动力系统难以及时响应高需求功率以保障稳定的动力输出,使得车辆难以
按规划的车速运行.因此,如何兼顾车辆队列节能行驶与车辆平稳运行两个目标备受挑战.本文提出了一种基于增
强分裂序列二次规划(ISSQP)优化方法的变风阻混合动力车辆队列控制策略.在车辆队列速度规划层面,考虑了跟
车距离对空气阻力的影响,提出了基于变风阻系数的动态车距速度规划.在单车控制层面,设计了ISSQP算法来求
解优化问题并实现实时控制.将原子问题分解为两个规模较小的子问题,并引入有效集法对子问题进行求解,减少
了迭代过程中没有得到充分下降的短步长.然后,建立在线优化变论域模糊系统,通过调整功率分配实现发动机
发电机组的快速响应.该系统考虑了隶属度函数分布参数的在线优化.该优化是基于模糊系统的实时隶属重叠度
和中心值来构建的,而不是传统的基于车辆后验信息的离线优化.结果表明,车辆队列的总能耗成本降低了12.5%,
车辆的平稳运行也得以保证. |
| 英文摘要 |
| 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. |
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