Adaptive estimation of road slope and vehicle mass of fuel cell vehicle

被引：36

作者：

Jiang, Shangfeng ^{[2
]}

Wang, Cheng ^{[1
]}

Zhang, Caizhi ^{[1
]}

Bai, Hao ^{[2
]}

Xu, Liangfei ^{[3
]}

机构：

[1] Chongqing Univ, Chongqing Automot Collaborat Innovat Ctr, Sch Automot Engn, State Key Lab Mech Transmiss, Chongqing 400044, Peoples R China

[2] Zhengzhou Yutong Bus Co Ltd, Yutong Ind Pk,Yutong Rd, Zhengzhou 450061, Henan, Peoples R China

[3] Tsinghua Univ, Sch Vehicle & Mobil, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China

来源：

ETRANSPORTATION | 2019年 / 2卷

基金：

国家重点研发计划;

关键词：

Adaptive estimation method; Fuel cell vehicle; Parameters for energy management; Road slope; Vehicle mass;

D O I：

10.1016/j.etran.2019.100023

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The vehicle mass and the real-time road slope are two of the most basic parameters for realizing energy management control. Thus, this study proposes a two-stage estimation method for vehicle mass and road slope under longitudinal moving condition of mini fuel cell vehicle (FCV). In the first stage, the vehicle mass is estimated in a few seconds after the car starts to move. And in the second stage, the real-time road slope is estimated during car driving. Then the two parameters can be used in the later energy management strategies. A mini FCV is used to get the experimental results for the estimation model and the root mean square error (RMSE) and the normalized root mean square error (NRMSE) of the results indicate that the estimation results of the two-stage adaptive method are acceptable. With knowing the two parameters, the FCV controller can adjust the operating conditions of the fuel cell power system in advance to improve the dynamic response and performance of FCV. (C) 2019 Elsevier B.V. All rights reserved.

引用

页数：9

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