An Online Mass Estimation Algorithm for Single-shaft Parallel Hybrid Commercial Vehicle

doi:10.3969/j.issn.1000-1093.2021.09.004

Abstract

Abstract: It is difficult for the automatic transmission controller of hybrid commercial vehicle to measure the total mass to optimize the shifting. An online mass estimation algorithm is proposed for the single-shaft parallel hybrid commercial vehicle. The parameter characteristics of vehicle's total mass during driving is analyzed，based on which the boundary conditions are set. A vehicle longitudinal dynamics model is established, and the working conditions of P2 hybrid system are studied. On this basis，the extended Kalman filter (EKF) algorithm is used to estimate the vehicle's total mass online. Cruise/Simulink co-simulation is realized by combining the vehicle model built in Cruise and the controller strategy model built in Simulink. Simulation tests and real vehicle tests were carried out. The test results show that the proposed algorithm can effectively identify the total mass of vehicle which satisfies the vehicle control requirements.

Key words: hybridcommercialvehicle, vehicletotalmass, onlineestimationalgorithm, Kalmanfilter, Cruise/Simulinkco-simulation

CLC Number:

U462.1

MEI Cheng， PENG Jianxin， HU Yuhui. An Online Mass Estimation Algorithm for Single-shaft Parallel Hybrid Commercial Vehicle[J]. Acta Armamentarii, 2021, 42(9): 1838-1846.

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第42卷第9期2021 年9月
兵工学报ACTA ARMAMENTARII
Vol.42No.9Sep.2021

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