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作 者:史俊武[1] 鲁统利[1] 李小伟[1] 张建武[1]
机构地区:[1]上海交通大学机械系统与振动国家重点实验室,上海200240
出 处:《农业机械学报》2011年第4期1-7,共7页Transactions of the Chinese Society for Agricultural Machinery
基 金:国家自然科学基金资助项目(60674094)
摘 要:在分析汽车纵向动力学模型的基础上,运用改进型最小二乘法对整车质量与广义坡度进行实时辨识,以克服采用单一遗忘因子的最小二乘辨识法对变化不同步的参数辨识效果不佳的缺点。制定了自适应坡道换挡策略并进行了实车道路试验。试验结果证明,新型换挡策略能有效地解决了传统换挡策略在坡道行驶时的问题,能够更好地满足自动变速器坡道行驶的要求。With the analysis of vehicle longitudinal dynamic model,a modified recursive least squares for online estimation of vehicle mass and generalized slope was established.Compared with the recursive least squares of single forgetting factor,the modified algorithm had better performance in estimation of parameters with different change rates.On the base of that,the self-adaptive gearshift strategies of uphill and downhill slopes were developed.The vehicle road test results indicated that these strategies could improve the slope traveling performance of automatic transmission and overcome the problems encountered by traditional gearshift strategy travels on slopes.
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