Tongji University

Zhuoping Yu

Lu Xiong

Gang Xu

Biao Wu

Xichan Zhu

Yi Zhou

Rui Liu

Da Jin

Bo Leng

Xing Yang

The present invention relates to a vehicle data communication and interaction system and a construction method thereof. The system includes a first test vehicle placed in an environment perception test platform and a second test vehicle placed in a rotating hub test platform, an intelligent-electronic control unit (i-ECU), a vehicle control unit (VCU), and a vehicle bottom electronic control unit that are communicatively connected with each other are mounted on each of the first test vehicle and the second test vehicle, and a sensor is further mounted on the first test vehicle. The first test vehicle is communicatively connected to the second test vehicle, and specifically, the VCU or a network gateway is connected via the sensor, to implement a communication connection between the two test vehicles.

Vehicle data communication and interaction system and construction method thereof

A whole vehicle in-loop test system of an intelligent automobile, including: a rotary drum platform, used for simulating a longitudinal movement of a test vehicle; an environment perception platform, disposed at a front end of the rotary drum platform, used for simulating a transverse movement of a test vehicle, and including a support base at a lower portion and a vehicle placing platform at an upper portion, where a transverse drive wheel is mounted at the lower portion of the support base, and the transverse drive wheel moves along a transverse track disposed on the ground; and a target vehicle simulation unit, disposed at a periphery of the environment perception platform, and configured to simulate a target vehicle.

Whole vehicle in-loop test system of intelligent automobile

A method for adaptive estimation of a road surface adhesion coefficient for a vehicle with complex excitation conditions taken into consideration comprises the following steps: 1) designing an estimator according to a single-wheel dynamics model of a vehicle, and estimating a longitudinal tire force and a road surface peak adhesion coefficient under longitudinal excitation; 2) designing an estimator according to a two-degree-of-freedom kinematic model of the vehicle, and estimating a tire aligning moment and a road surface peak adhesion coefficient under excitation of a lateral force; and 3) determining an excitation condition met by the vehicle according to a vehicle state parameter, performing fuzzy inference to obtain limits achievable by current longitudinal and lateral tire forces, and designing a fusion observer to fuse estimation results. The method achieves favorable robustness, improves real-time capability, and can be performed quickly and accurately.

Method of adaptive estimation of adhesion coefficient of vehicle road surface considering complex excitation conditions

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Shanghai, China

Zhuoping Yu