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陈慧勇,梁伟智,刘志伟,等. 混合动力重卡标定参数工况适应性[J]. 科学技术与工程, 2021, 21(8): 3353-3358.
CHEN Hui-yong,LIANG Wei-zhi,et al.Adaptability of Calibration Parameters to Driving Cycles#$NLfor Hybrid Heavy Truck[J].Science Technology and Engineering,2021,21(8):3353-3358.
混合动力重卡标定参数工况适应性
Adaptability of Calibration Parameters to Driving Cycles#$NLfor Hybrid Heavy Truck
投稿时间:2020-06-04  修订日期:2020-12-16
DOI:
中文关键词:  混合动力汽车  整车控制器  参数标定  工况合成  回归分析
英文关键词:hybrid  electric vehicle  vehicle controller  parameter calibration  driving cycle  construction regression  analysis
基金项目:国家重点研发计划(2018YFB0105900)
              
作者单位
陈慧勇 郑州宇通客车股份有限公司
梁伟智 吉林大学汽车仿真与控制国家重点实验室
刘志伟 内蒙古第一机械集团股份有限公司
曾小华 吉林大学汽车仿真与控制国家重点实验室
宋大凤 吉林大学汽车仿真与控制国家重点实验室
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中文摘要:
      为解决混合动力重卡整车控制器标定流程繁琐、标定结果无法满足不同行驶工况需求等问题,提出一种标定参数工况适应性规律,可以针对不同行驶工况快速进行控制参数标定。基于运煤线工况和省道工况合成100个新行驶工况,并筛选出代表行驶工况的24个工况特征参数,在电量平衡的条件下,以系统总损失能量最小为标定目标来求解最优功率门限值,通过回归分析寻找最优功率门限值与工况特征参数之间的关系,并确定该车型下最优功率门限值与工况特征参数之间的线性回归方程,该研究揭示了标定参数与行驶工况之间的本质关系,缩短了不同工况下混合动力重卡整车控制器的研发周期。
英文摘要:
      In order to solve the problems of cumbersome calibration process of the hybrid electric vehicle controller and the inability of the calibration results to meet the requirements of different driving cycles, an adaptability rule of calibration parameters to driving cycles is proposed, which can quickly calibrate the control parameters for different driving cycles. Based on the coal transportation line condition and provincial road condition, one hundred new driving cycles are constructed, and twenty four characteristic parameters representing driving cycles are screened. Under the condition of electric power balance, the minimum energy loss of the system is taken as the calibration target to solve the optimal power threshold. The relationship between the optimal power threshold and the characteristic parameters of driving cycles is found through the regression analysis, and the linear regression equation of the vehicle model is determined. The study in this paper reveals the essential relationship between the calibration parameters and driving cycles, and shortens the research and development cycle of the hybrid electric vehicle controller under different driving cycles.
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