Patent
Vehicle traveling state estimation method based on sparse grid integrating Kalman filtering
Chen Jianfeng,Cao Jie,Tang Chuanye,Huang Haoqian,Sun Jiantian,Guo Congcong,Sun Xiaodong,Chen Long +7 more
- 15 Jun 2018
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TL;DR: In this article, a vehicle traveling state estimation method based on sparse grid integrating Kalman filtering was proposed, where multidimensional integration points were selected, time upgrading and measurement upgrading were conducted, and the longitudinal vehicle speed, the lateral vehicle speed and the side slip angle of a vehicle were estimated.
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Abstract: The invention discloses a vehicle traveling state estimation method based on sparse grid integrating Kalman filtering. Through a selected seven-degree-of-freedom vehicle motion module, on the basis ofan integrating Kalman filtering method combining with a sparse grid theory, multidimensional integration points are selected, time upgrading and measurement upgrading are conducted, and the longitudinal vehicle speed, the lateral vehicle speed and the side slip angle of a vehicle are estimated. The vehicle traveling state parameter estimation method has the characteristic of high precision, and the real-time performance of state parameter estimation can be effectively improved while the state estimation precision is improved.
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Citations
Patent
Method and system for determining side slip angle of vehicle
Wang Wenwei,Zhao Yifan +1 more
- 17 Mar 2020
TL;DR: In this article, an unscented Kalman particle filtering algorithm was used to determine the side slip angle of a vehicle, and the value of the side-slip angle of the vehicle was determined according to the longitudinal speed and the lateral speed.
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Estimation method for vehicle driving state orienting to non-gaussian noise environment
Chen Jianfeng,Guo Congcong,Tang Chuanye,Huang Haoqian,Sun Jiantian,Cao Jie,Sun Xiaodong,Chen Long +7 more
- 12 Apr 2019
TL;DR: In this article, an estimation method for a vehicle driving state orienting to a non-gaussian noise environment is presented. And the method can monitor a tire force condition and vehicle state information in real time, well solves the error problem of a tire model and a noise model in a vehicle state estimation process, and provides the basis for active safety control of the vehicle.
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Car driving state estimation method based on weight fusion algorithm
Lian Jinyi,Ren Yanqiang,Zhang Xiqing,Zhi Jinning,Li Zhanlong,Xue Haoyuan,Wang Jialun,Jia Chunlu +7 more
- 26 Nov 2019
TL;DR: In this article, a car driving state estimation method based on the weight fusion algorithm is proposed, where the optimum weighting factor is acquired through the weight-fusion algorithm, the optimum state estimated value can be further obtained, and the precision is improved to a certain extent.
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Car running state estimation method based on BP neural network
Lian Jinyi,Ren Yanqiang,Zhang Xiqing,Zhi Jinning,Li Zhanlong,Xue Haoyuan,Wang Jialun,Jia Chunlu +7 more
- 26 Nov 2019
TL;DR: In this article, a car running state estimation method based on a BP neural network was proposed. And the BP neural networks were used for estimating the running state of the car, and a new particle selecting operator was introduced on the basis of a selfadaptation genetic algorithm and applied to a self-adaption genetic particle filer estimator, compared with a standard particle filterestimator.
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