摘要
为提高城市插电式混合动力客车(PHEB)对随机质量、不同道路坡度、不同工况的适应性,本文提出了一种基于6σ设计的PHEB能量管理策略设计方法。将随机载客量作为噪声因子;离线过程采用6σ设计和等效燃油消耗控制策略(ECMS),获得能够对抗随机载荷变化的鲁棒控制参数;在线过程采用K最邻近法(KNN)行驶工况在线识别模型,实现复杂道路下的自适应控制。结果表明:该方法与基于规则的控制策略相比,100 km油耗平均减少了2.64 L。因此,该方法提高了混合动力城市公交客车的在不同工况环境下的适应性。
A design method of energy management strategy for plug-in hybrid electric bus(PHEB)was proposed based on the 6σDesign(Design For Six Sigma,DFSS)method to improve urban PHEB to adapted to random mass,different road slopes or/and different driving cycles.The off-line process used the 6σ-Design and the equivalent fuel consumption control strategy(ECMS),taken the random passenger load as noise factor,to obtain robust control parameters that can resist random load changes.And adaptive control was achieved by an online identification model with k Nearest Neighbor(KNN)method for driving conditions on complex roads.The results show that the 100-km fuel consumption of the proposed method is reduced by 2.64 L on average compared with the rule-based control strategy.Therefore,this method improves the adaptability of hybrid urban buses under different driving conditions.
作者
赖辉平
侯亮
王少杰
刘强生
LAI Huiping;HOU Liang;WANG Shaojie;LIU Qiangsheng(Department of Mechanical and Electrical Engineering,Xiamen University,Xiamen,361105,China;Xiamen King Long United Automobile Industry Co.Ltd.,Wuhan University of Technology,Xiamen,361023,China)
出处
《汽车安全与节能学报》
CAS
CSCD
北大核心
2022年第2期358-367,共10页
Journal of Automotive Safety and Energy
基金
国家自然科学基金面上项目(51975495)
中央引导地方专项(2020L3002)
厦门市重大科技项目(3502Z20191019)。
