Mass and Slope Estimation of Electric Vehicles Equipped with AMT Based on Recursive Least Square Method with Multiple Multiple Forgetting Factors

Aidao Dong, Junzhi Zhang, Jiang Yi, Wenfei Jiang

Abstract


Mass and road gradient influence the dynamic and economic performance of electric city bus equipped with AMT. Therefore, the influence of mass and road gradient must be taken into consideration when formulating the gear shifting rule. In this paper, recursive least square method with multiple forgetting factors is proposed to estimate vehicle mass and road gradient online, and a simulation was carried out based on NEDC working condition, the simulation results show that the proposed algorithm can effectively estimate vehicle mass and road gradient.

Keywords


Electric City Bus, AMT, Mass Estimation, Road Gradient Estimation


DOI
10.12783/dteees/iceee2018/27869

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