Vehicle side-slip angle estimation on a banked and low-friction road

被引:8
作者
Haudum, Martin [1 ]
Edelmann, Johannes [1 ]
Ploechl, Manfred [1 ]
Hoell, Manuel [2 ]
机构
[1] TU Wien, Vienna, Austria
[2] Dr Ingn Hc F Porsche AG, Stuttgart, Germany
关键词
Vehicle state estimation; road bank angle; maximum friction coefficient; vehicle side-slip angle; lateral velocity; Kalman filter; observability; EXTENDED KALMAN FILTER; STABILITY CONTROL; OBSERVERS; STATE; ADAPTATION; DYNAMICS; FORCES; SENSOR; GPS;
D O I
10.1177/0954407017732852
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The effective application of integrated vehicle dynamics control and automatic driving require consistent vehicle state variables and parameters. Considering lateral vehicle dynamics, the yaw rate and (estimated) vehicle side-slip angle are the minimum set of state variables that can give insight into the handling characteristics of a vehicle. Various methods of vehicle side-slip angle (lateral velocity) estimation have been tested in virtual and real world applications, in particular on a horizontal dry road. Vehicle side-slip angle, however, is not only affected by the (steering) commands of the driver, and possibly by a vehicle dynamics controller, but can also arise from a banked road or result from a low-friction surface, changing tyre-road contact. The combined effects require a comprehensive estimation approach, which is less often touched upon in the literature. Based on earlier findings on important aspects of observability, the paper addresses a modular vehicle side-slip angle estimation approach that is particularly focused upon practical aspects of modelling and design. Estimation of the combined vehicle side-slip angle, road bank angle and maximum tyre-road friction coefficient has been broadly tested with a vehicle equipped with an electronic stability control (ESC) and electric power-assisted steering (EPS) sensor configuration, for various road conditions, driving situations and vehicle/tyre setups.
引用
收藏
页码:1584 / 1596
页数:13
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