Real-time optimization control method for electro-mechanical transmission system

    公开(公告)号:US10940849B1

    公开(公告)日:2021-03-09

    申请号:US16896461

    申请日:2020-06-09

    Abstract: The present invention discloses a real-time optimization control method for an electro-mechanical transmission system, and relates to the field of electro-mechanical transmission technologies. The method includes the following steps: (S0) starting; (S1) state observation: a current operating state of each element of the electro-mechanical transmission system is obtained through state observation; (S2) dynamic prediction: a feasible operating range of each element of the electro-mechanical transmission system is obtained through dynamic prediction; (S3) optimal decision: an optimal control command of each element in the optimal decision is formulated and executed; (S4) feedback correction: feedback correction is performed on control amounts of a motor and an engine of the electro-mechanical transmission system by using state deviations; and (S5) determining whether feedback correction meets a requirement, and if feedback correction meets the requirement, ending the process, or if feedback correction does not meet the requirement, repeating (S1).

    ITERATIVE JOINT ESTIMATION METHOD OF VEHICLE MASS AND ROAD GRADIENT BASED ON MMRLS AND SH-STF

    公开(公告)号:US20230054246A1

    公开(公告)日:2023-02-23

    申请号:US17293841

    申请日:2020-07-30

    Abstract: The present invention provides an iterative joint estimation method of vehicle mass and road gradient based on MMRLS and SH-STF, which includes the following steps: establishment of a dynamic model considering steering, MMRLS/SH-STF iterative joint estimation algorithm architecture, improved slope estimation algorithm based on SH-STF. It is an iterative joint estimation method of vehicle mass and road slope based on MMRLS and SH-STF, which is designed reasonably, and the slow-variation characteristics of vehicle mass and the time-varying characteristics of road gradient are analyzed. According to the characteristics of gradual change and time change, based on the longitudinal dynamics model of the vehicle and the steering single-track model, the system identification algorithm of multi-model fusion recursive least squares is used to calculate the vehicle mass, and the noise adaptive strong tracking based on extended Kalman filter is used.

    Cyber-physical energy optimization control system and control method for hybrid electric vehicle

    公开(公告)号:US20210107449A1

    公开(公告)日:2021-04-15

    申请号:US17098372

    申请日:2020-11-14

    Abstract: A cyber-physical energy optimization control system for a hybrid electric vehicle includes an information layer which is configured to realize vehicle and road condition information collection, hybrid control unit (HCU) threshold optimization and threshold wireless update loading, and an optimized object plug-in hybrid electric bus (PHEB) as a physical layer. A cyber-physical energy optimization control method for a hybrid electric vehicle includes steps of collecting a real-time position of an optimized HEV and road slope information of the real-time position, collecting speed information which reflects traffic conditions on a road section to be optimized, constructing a vehicle model virtual operating platform for threshold optimization through the collected information, quickly optimizing related parameters with a help of efficient optimization algorithms, obtaining best results, and finally sending and loading corresponding parameters to a hybrid control unit (HCU) before the optimized vehicle is about to arrive at the optimized road section.

    MULTI-MODE ELECTRO-HYDRAULIC BRAKE BOOSTING SYSTEM AND CONTROL METHOD THEREOF

    公开(公告)号:US20210347349A1

    公开(公告)日:2021-11-11

    申请号:US17313550

    申请日:2021-05-06

    Abstract: Disclosed is a multi-mode electro-hydraulic brake boosting system and a control method thereof. When the boosting system fails, an emergency mechanical braking mode is achieved through structural redundancy, in a normal boosting mode, the system has a general braking mode and an emergency braking mode according to the strength requirements of a brake, and a general brake boosting mode and an emergency active pressurizing mode are controlled, respectively. Accurate boosting can be provided in the general braking process so that the pressure of a brake master cylinder can accurately follow target pressure, pressure buildup of the brake master cylinder can be completed more quickly in the emergency braking process, braking force is output to the maximum extent, the system response time of an emergency braking working condition is shortened, the braking capacity is improved, and traffic accidents are avoided.

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