Abstract: Charging scheduling systems and methods for electric buses for use in at least one electric bus and a cloud management module are provided. First, a current location of the electric bus is obtained by a positioning unit of the electric bus and a current power state of a battery module of the electric bus is detected by a battery detection unit of the electric bus. A route corresponding to the electric bus is obtained by the cloud management module, wherein the route includes at least one charging point, and records a location of the charging point and a charging efficiency of at least one charging equipment installed at the charging point. Then, the cloud management module determines whether the electric bus needs to be charged with the charging equipment at the charging point according to the current location and the current power state of the electric bus.

Abstract: A charging fee management method for electric vehicles for use in a charging device is provided, wherein the charging device can be operated in a plurality of operation modes. First, a charging request for charging an electric vehicle is received. Then, the charging device is controlled to perform a charging process for the electric vehicle according to the charging request, and calculate a charging fee for the charging process, wherein the charging fee is calculated based on charging data during the respective operation mode of the charging device and a respective charging method for each operation mode.

Abstract: Methods and systems of electric vehicle charging management for community with energy monitoring are provided, which are suitable for a community including a plurality of dwellings, and each dwelling has an electric vehicle charging station connected to a server through a network. First, a current transformer is used to measure the main power lines of the community to obtain a current consumption of the community, where the main power line is tapped into a plurality of auxiliary power lines to provide electricity for each of the dwellings. The server determines whether the current consumption of the community meets a predetermined condition of the community, and if so, the server executes at least one energy management scheme, wherein the energy management scheme records a power distribution logic, which is used to control the charging operation of the electric vehicle charging station corresponding to the respective dwelling via the network.

Abstract: A pneumatic clamping device includes a main body, a piston, a first linkage member and a second linkage member. The main body includes a chamber. The piston includes a pillar part. The first linkage member includes a first arm part and a second arm part. The second linkage member includes a third arm part and a fourth arm part. When the air is introduced into the chamber, the pillar part is gradually moved to push the first arm part and the third arm part, so that the second arm part is externally expanded relative to the fourth arm part. When the air is exited from the chamber, the pillar part is gradually moved to pull back the first arm part and the third arm part, so that the second arm part is internally retracted relative to the fourth arm part.

Abstract: Management methods and systems for electric vehicle charging equipment are provided. A server is used to determine whether a specific electric vehicle charging equipment is in an abnormal state, wherein the specific electric vehicle charging equipment is bound to a specific account and can only accept a charging request from the specific account. When the specific electric vehicle charging equipment is in an abnormal state, the server activates a charging replacement mechanism for the specific account. The server sends an abnormality notification message to a mobile device corresponding to the specific account via a network, wherein the abnormality notification message is used to notify a specific user of the specific account that the specific electric vehicle charging equipment is currently abnormal, and the charging replacement mechanism for the specific account in a predetermined period.

Abstract: Methods and systems for multi-dimension electric vehicle charging management are provided. First, configuration setting data corresponding to each electric vehicle charging station is provided. A service application instruction corresponding to a specific electric vehicle charging station, at least including specific user identity data corresponding to a specific user, is received from the specific electric vehicle charging station or a mobile device through a network. In response to the service application instruction, a specific user category is determined based on the specific user identity data. Then, the configuration setting data of the specific electric vehicle charging station is obtained, and it is determined whether the specific user can use or make a reservation to use a specific electric vehicle charging station at a receiving time according to the receiving time, the specific user category, and the configuration setting data of the specific electric vehicle charging station.

Abstract: Management methods and systems for electric vehicle charging equipment are provided. An application program of a mobile device scans a quick response code of an electric vehicle charging equipment to send a binding request to a server via a first network. In response to the binding request, the server determines whether the electric vehicle charging equipment has been bound to any account. When the electric vehicle charging equipment is not bound to any account, the server provides an interface to the mobile device to set account information. The server creates a specific account based on the account information, and sets the electric vehicle charging equipment to only accept a charging request from the specific account, wherein the application program is linked to the specific account.

Abstract: Systems and methods are provided for receiving a request for services in a given location from a client device operated by a user and generating a set of features based on information included in the request for services in the given location. The systems and methods further provide for analyzing the set of features using a machine learning model to predict whether only services that can be instantly booked should be provided in response to the request for services in the given location, analyzing a prediction output by the machine learning model to determine that only services that can be instantly booked should be provided in response to the request for services in the given location, and generating a list with only services that can be instantly booked.

Abstract: An active alignment machine includes a base, a first pillar, a second pillar, a distribution module, a first alignment module, a second alignment module and a third alignment module. The first pillar has a first pillar top surface. The second pillar has a second pillar top surface. The first pillar top surface and the second pillar top surface cooperatively support plural assembling specifications. The distribution module is installed on the base and arranged between the first pillar and the second pillar. The first alignment module, the second alignment module and third alignment module are replaceable to be assembled with or dissembled from the first pillar top surface and the second pillar top surface. The first alignment module, the second alignment module and third alignment module work with the distribution module to perform the active alignment on a first-type product, a second-type product and a third-type product, respectively.

Abstract: A pneumatic clamping device includes a main body, a piston, a first linkage member and a second linkage member. The main body includes a chamber. The piston includes a pillar part. The first linkage member includes a first arm part and a second arm part. The second linkage member includes a third arm part and a fourth arm part. When the air is introduced into the chamber, the pillar part is gradually moved to push the first arm part and the third arm part, so that the second arm part is externally expanded relative to the fourth arm part. When the air is exited from the chamber, the pillar part is gradually moved to pull back the first arm part and the third arm part, so that the second arm part is internally retracted relative to the fourth arm part.

Abstract: Electric vehicle charging management methods and systems capable of integrating multiple identities are provided. First, a mobile device executes an application, and selects a first identity account from a plurality of identity accounts through the application. Then, a first charging request is generated according to the first identity account and a first charging station, and the first charging request is transmitted to the server via a network through the mobile device or the first charging station. In response to the first charging request, the server instructs the first charging station to perform a first charging operation via the network. Thereafter, the server continuously obtains first charging state information of the first charging operation from the first charging station via the network, and calculates a first charging fee associated with the first identity account based on the first charging state information.

Abstract: Electric vehicle charging management methods and systems with flexible adjustment of charging schedule are provided. A server executes an energy management scheme to determine a target power parameter value for a charging operation of each electric vehicle charging station, and perform the charging operations accordingly for respective electric vehicles. A specific charging demand of a specific electric vehicle charging station or a specific electric vehicle is received, wherein the specific charging demand includes at least a demand time. In response to the specific charging demand, the target power parameter value corresponding to the charging operation of the specific electric vehicle charging station is adjusted, wherein the power of the specific electric vehicle at the time of demand will be higher than a predetermined power value.

Abstract: Electric vehicle charging management methods and systems are provided. A server performs a charging scheduling operation for each electric vehicle charging station to determine a specific time point for each electric vehicle charging station to perform a charging operation in which the charging operation is to charge an electric vehicle coupled with the electric vehicle charging station. When the charging operation corresponding to each electric vehicle charging station is being performed, each electric vehicle charging station transmits charging information corresponding to the charging operation to the server through a network.

Abstract: Route management methods and systems for electric vehicles are provided. First, a driving monitoring system of an electric vehicle is used to detect a driving state of the electric vehicle. Then, the driving state is transmitted to the server via a network by the driving monitoring system. The server performs an analysis according to the driving state to obtain a driving behavior index of a driver corresponding to the electric vehicle. Then, a plurality of routes are provided in the server, wherein each route includes a plurality of stations, and average distance between two stations. The server selects one of the routes according to the driving behavior index, and assigns the selected route to the driver of the electric vehicle.

Abstract: Systems and methods are provided for receiving a request for services in a given location from a client device operated by a user and generating a set of features based on information included in the request for services in the given location. The systems and methods further provide for analyzing the set of features using a machine learning model to predict whether only services that can be instantly booked should be provided in response to the request for services in the given location, analyzing a prediction output by the machine learning model to determine that only services that can be instantly booked should be provided in response to the request for services in the given location, and generating a list with only services that can be instantly booked.

Abstract: Charging management methods and systems for electric vehicle charging stations in a charging field are provided. First charging station uses a power parameter which is an upper power limit value of first charging station to perform a charging operation for an electric vehicle. When remaining power of a charging field is lower than the upper power limit value of a second charging station, the server performs a load adjustment simulation operation. In load adjustment simulation operation, the server communicates with first charging station through a network to instruct first electric vehicle charging station to adjust the power parameter from the upper power limit value to a specific value during the charging operation. When the power output from first charging station to the electric vehicle during the charging operation is not adjusted to the specific value, the server sets second charging station to be in a service suspended state.

Abstract: The present invention discloses a self-healing or reusable article and preparation method and use thereof. The present invention discloses a combination system for preparing a self-healing coating material, comprising: (A) a low-surface-energy polymer micelle dispersion; (B) a silane coupling agent hydrolysate; and (C) a base solution. The present invention discloses a composition system for use in a reusable glass-like material or glass-like article, comprising: (i) a mixed dispersion of a silane coupling agent hydrolysate and a base solution; (ii) a low-surface-energy polymer solution; and (iii) a silane coupling agent dispersion. The self-healing or reusable article provided herein has a wide range of application prospect.

Abstract: The present invention discloses an enhanced, self-healable or recoverable and recyclable 3D printed article and a preparation method and use thereof. By introducing a functional monomer into a 3D printing system, a self-healable or recoverable 3D printed article is prepared or the interface strength of the 3D printed article is enhanced; or by using at least one monofunctional thermoplastic photosensitive resin monomer as one of 3D printing raw materials, a recyclable 3D printed article is prepared.

Abstract: Management methods and systems for energy and charging requests of an electric vehicle charging field are provided. First charging data corresponding to at least one first charging operation is received by a server from each of electric vehicle charging stations in a charging field via a network during a first predetermined period, wherein the charging data includes at least a charging start time, a charging period, and an output power. According to the first charging data corresponding to the at least one first charging operation received from each of the electric vehicle charging stations during the first predetermined period, the server generates an energy prediction data of the charging field in a second predetermined period, wherein the energy prediction data includes at least an energy consumption estimation of the charging field at a specific time point.

Abstract: Electric vehicle charging management methods and systems with charging rate-based charging are provided. First, the server provides a charging rate corresponding to a charging field, wherein the charging rate is variable. A first specific electric vehicle charging station receives a connection corresponding to a first electric vehicle. The server transmits the charging rate of the charging field to a first mobile device via a second network, and receives a setting of a first specific rate from the first mobile device. When the charging rate is equal to or less than the first specific rate, the server transmits a charging start instruction to the first specific electric vehicle charging station via a first network, so that the first specific electric vehicle charging station starts to perform a charging operation to charge the first electric vehicle.