China Automotive Technology and Research Center Co. Ltd

Catarc Automotive Test Center (tianjin) Co., Ltd

Zte Corporation

Tianjin University

Tiangong University

Zhejiang Jinmo Environmental Technology Co., Ltd

Hao Zhang

Jingyuan Li

Yu Liu

Yongkai Liang

Hanzhengnan Yu

Zhengjun Yang

Xi Hu

Kunqi Ma

Xiaopan An

Xianglei Zhu

Hang Xu

Yan Wang

Rui Liu

Hua Zhou

Haitao Wang

Yinong Xu

Wei Pang

Wei Shao

Yanjun Jia

Na Chang

Qiliang Wang

Shimin Zhang

Enxing Zhang

Jianbang Li

Ruhan A

Tieying Jin

Liangzhen Du

Kai Kang

Nianchu Hu

Mingke Qi

Yong Lu

The present disclosure discloses a method and system for constructing a predictive vehicle driving condition, a device and a medium. The method includes: acquiring a first road set and historical vehicle driving data; screening distances less than or equal to a distance threshold from the first distance set, generating a road point-in-time set; sequencing a plurality of point-in-time corresponding to the same road segment, and cutting at two adjacent point-in-time with a time difference greater than a time threshold, to obtain a plurality of road segments; establishing road segment databases; screening segments with segment feature data meeting a second preset condition from all the road segment databases, and generating a road-condition segment set; and sequencing a plurality of condition segments corresponding to each road segment, and screening condition segments meeting a third preset condition from all the segment sequences, to generate an optimal driving condition.

Method and system for constructing predictive vehicle driving condition, device and medium thereof

The present disclosure discloses a steady-state site driving condition development method based on a transient-state driving condition, including: fragmenting a laboratory chassis drum transient-state speed-time curve to obtain transient-state motion segments; fragmenting the transient-state motion segment that is not pretreated with reference to a minimum speed of the pretreated transient-state motion segments to obtain transient-state sub-motion segments; merging the transient-state sub-motion segments, calculating maximum constant speeds and mean accelerations and mean decelerations of steady-state motion segments; converting acceleration and deceleration processes into uniform acceleration and uniform deceleration processes, calculating acceleration and deceleration durations of the steady-state motion segments to obtain steady-state motion segment; connecting steady-state motion segments according to time axes, inserting idle segments between the steady-state motion segments and at the beginning and end of a steady-state driving condition, so as to obtain a steady-state site test driving condition.

Steady-state site driving condition development method based on transient-state driving condition

Disclosed are a test routes planning method and apparatus of a vehicle on actual roads, a medium and a device. The method includes the following steps: dividing road traffic scenes; calculating traffic scene characteristics based on the divided road traffic scenes; constructing a preliminary road selection database for test routes; and completing a planning of the test routes of the vehicle on the actual roads at different speeds in different traffic scenes by leveraging a genetic algorithm based on the preliminary road selection database for the test routes. The present disclosure provides a solution for planning the test routes of the vehicle on the actual roads. In the solution, the travel speed distribution of a user is obtained through calculation based on traffic flow big data, and the planning of the test routes on the actual roads in different traffic scenes is completed by leveraging the genetic algorithm.

Test routes planning method and apparatus of vehicle on actual roads, medium and device thereof

The present application relates to a preparation method for recycling inorganic salt in printing and dyeing wastewater and comprises the following process steps: S1, performing impurity removal, softening, COD removal and decoloration on reverse osmosis (RO) membrane concentrated water to obtain pretreated wastewater; S2, performing two-stage electrodialysis on the wastewater obtained in step S1: returning fresh water obtained in a first-stage electrodialysis desalination chamber to a front end of the RO process, and taking saline water obtained in a concentration chamber as raw water of a second-stage electrodialysis desalination chamber and a second-stage electrodialysis concentration chamber; and returning the fresh water obtained by the second-stage electrodialysis desalination chamber to the first-stage electrodialysis concentration chamber; and S3, dealkalizing the concentrated saline water obtained in the step S2 and then adjusting the pH value to obtain concentrated saline water capable of being reused for cloth dyeing in a printing and dyeing mill.

Preparation method for recycling inorganic salt in printing and dyeing wastewater

A piezoelectric acoustic resonator with an adjustable temperature compensation capability is disclosed. The piezoelectric acoustic resonator includes: a piezoelectric acoustic reflection structure, a first electrode, a second electrode, a piezoelectric layer between the first electrode and the second electrode, and a temperature compensation layer; wherein the temperature compensation layer is a single-layer temperature compensation layer formed of SiOmaterial, or a composite temperature compensation layer formed by stacking material with a positive temperature coefficient of sound velocity and material with a negative temperature coefficient of sound velocity; and the temperature compensation layer is configured to: perform reverse compensation for a temperature frequency shift caused by the first electrode, the piezoelectric layer and the second electrode in the piezoelectric acoustic resonator; wherein x:y is not equal to 1:2.

Piezoelectric acoustic resonator with adjustable temperature compensation capability

Growing community of inventors

Tianjin, China

Hao Zhang