149 results about "Electric bus" patented technology

A wind-photovoltaic ratio system optimization configuration method for a new energy hydrogen production park, the method comprising the steps of: S1) calculating an output time series of local wind power and photovoltaic power generation, and analyzing wind power and photovoltaic output characteristics and a wind-photovoltaic correlation; S2) establishing equivalent device models of a hydrogen energy storage unit and an electrochemical energy storage unit to form an electric bus power balance and hydrogen bus power balance relationship, and taking the minimization of a full life cycle cost as an objective function and taking into consideration constraint conditions such as the power balance, device operation characteristics and a land restriction to establish a system planning optimization configuration model for a new energy hydrogen production park, which model takes a wind-photovoltaic ratio into consideration; S3) integrating the objective function and the constraint conditions to obtain a system planning and optimization configuration scheme for the new energy hydrogen production park and the total system configuration cost; and S4) taking into consideration an electricity price factor and an energy storage operation characteristic constraint, performing annual hydrogen production timing operation simulation, and analyzing a park electricity purchase demand and a new energy consumption capacity under the present planning optimization configuration scheme.

The invention provides a multi-source data fusion driven electric bus battery SOC prediction method. According to the method, firstly, data preprocessing and feature extraction are performed on collected electric bus operation data, then, for the problem that a traditional model is insufficient in complex time sequence data feature extraction capability, on the basis of a TFT model, the time sequence feature learning advantage of an LSTM network is fused, an improved TFT model is constructed, and the time sequence feature extraction capability of the LSTM network is improved. The combined modeling capability of the model for short-term change and long-term dependence features is enhanced, and the improved TFT model can select and process extracted multi-dimensional data features. A prediction result of the improved TFT model is compared with an existing typical prediction model, and the prediction performance of the improved TFT model is superior to that of the existing prediction model on a plurality of evaluation indexes. The electric bus battery SOC prediction method provided by the invention has prediction stability and accuracy under complex charging and discharging working conditions, and provides technical support for energy consumption management and intelligent control of the electric bus.

The invention provides a commercial electric bus operation scheduling method and system under vehicle-network combination, and belongs to the field of electric bus resource optimization configuration, and the method comprises the steps: building a coupling network model of a power distribution network and a traffic network and a corresponding bus timetable; constructing an electric bus fleet optimization problem model and a constraint condition model in the coupling network of the power distribution network and the traffic network; obtaining electricity price, bus battery parameters and service income; and based on the bus operation time table, inputting the electricity price, the electric bus parameters and the service income information into the electric bus fleet optimization problem model, solving to obtain the optimized operation parameters of the electric bus fleet and the scheduling parameters of the power distribution network, and obtaining an electric bus scheduling scheme. And meanwhile, the flexibility of a power grid and the operation benefit of an electric bus commercial fleet are improved.

A charging system includes: a power converter configured to receive power from an external power network to generate charging power for electric buses; power rails electrically connected to the power converter and installed at a predetermined height according to a layout of a garage; a first charging network configured to horizontally move above a floor in the garage along the electric power rails to upper sides of the electric buses to contact the electric buses; a second charging network electrically connected to the power converter and providing a charging zone on a bottom surface of the garage by reflecting the layout to contact the electric buses parked in the charging zone; and a station controller configured to control a charging sequence of the electric buses by analyzing position information of the electric buses and calculating a shortest movement path and a charging order of the first charging network.

The invention relates to a positioning unit (12) and a method for establishing an electrically conductive connection between a stationary charging station (10) and a vehicle (24), in particular an electric bus or the like, a contact device (15) having an electric charging contact (19) of the positioning unit being movable in relation to a charging-contact surface (21) and being contactable therewith by means of the positioning unit, the positioning unit having a positioning device (13) and a drive device (14) for driving the positioning device, the charging contact being able to be positioned between a contact position (18) for transmitting power and a retracted position for interrupting power transmission by means of the positioning device, the positioning unit comprising a cover device (25) having an apron (26), the apron surrounding at least sections, preferably the entirety of, the contact device and being movable towards the contact position.

The invention belongs to the technical field of urban traffic management, and particularly relates to an electric bus cooperative scheduling method in a charging facility time-sharing sharing mode. The objective of the invention is to solve the problem that the existing method faces a single electric bus route, neglects the fluctuation of the charging demand of private cars in each time period, and is easy to cause low utilization rate caused by excessive charging facility distribution number in individual time periods, or long charging queuing time of private cars caused by insufficient charging facility distribution number. The method comprises the following steps: constructing a collaborative optimization model of a bus scheduling scheme and a charging facility sharing scheme based on the daily charging cost of an electric bus line and an expression of an estimated value of earnings obtained by sharing a charging pile to an electric car every day by a bus enterprise; solving the collaborative optimization model to obtain an optimal feasible solution and a corresponding objective function value; the optimal feasible solution comprises an electric bus scheduling scheme and a charging facility sharing scheme.

The invention belongs to the technical field of urban public transport management, and particularly relates to an electric public transport scheduling and charging scheduling method considering source-load double-side fluctuation. The objective of the invention is to solve the problems that a public transportation system has source-load double-side fluctuation due to the intermittency of existing source-side photovoltaic power generation and the randomness of load-side public transportation operation energy consumption, so that the charging demand and the power supply capacity in part of time periods are not matched, the operation task cannot be completed in time, and the energy storage utilization efficiency is low. The invention provides an electric bus scheduling and charging scheduling method considering source-load double-side fluctuation. The method comprises the steps of calculating bus battery remaining capacity based on an optimization time period; calculating the remaining capacity of the energy storage battery based on the remaining capacity of the bus battery; based on the bus battery remaining capacity and the energy storage battery remaining capacity, constructing a chance constraint planning model; and solving the opportunity constraint planning model to obtain an optimal feasible solution which comprises an electric bus scheduling and charging scheduling scheme.

A power source assembly for an aeronautical vehicle includes a fuel cell module configured to provide a first direct current (DC) power output, a battery module configured to provide a second DC power output, a DC electric bus configured to provide a specified DC power output to a load, a multi-phase DC / DC converter including a plurality of converter units, and a controller operably coupled to the multi-phase DC / DC converter. The multi-phase DC / DC converter is configured to receive the first DC power output and the second DC power output and to provide the specified DC power output to the DC electric bus. The controller is configured to receive data indicative of the first DC power output and to control the plurality of converter units of the multi-phase DC / DC converter based on the received data to maintain the specified DC power output to the load.

The invention discloses an independent liquid-cooling liquid-heating system of a pure electric bus and a control method, and belongs to the technical field of electric buses. Comprising the steps that S1, a battery management system (BMS) obtains the temperature of a battery and judges whether liquid cooling and liquid heating are needed or not, if yes, a liquid cooling or liquid heating process S2 is executed, and if not, a self-circulation mode S3 is executed; s2, acquiring a liquid cooling liquid heat demand, starting a liquid cooling liquid heat system according to the liquid cooling liquid heat demand, and cooperatively executing a liquid cooling liquid heat flow by the battery management system and the independent heat management unit; and S3, obtaining a whole vehicle system state and a liquid-cooling liquid heat demand, and if no liquid-cooling liquid heat demand exists, executing self-circulation of the liquid-cooling liquid heat system by the battery heat management unit. Through unified control and management of liquid cooling and liquid heat, mutual exclusion management of liquid cooling and liquid heat of the battery is easily realized, and the problem that an existing power battery is attenuated due to temperature influence is solved.

A power source assembly (200, 300, 400) for an aeronautical vehicle (100), includes a fuel cell module (202, 302, 312, 402, 412) configured to provide a first direct current (DC) power output, a battery module (204, 304, 314, 404, 414) configured to provide a second DC power output, a DC electric bus (206, 306, 316, 406, 416) configured to provide a specified DC power output to a load (212, 324, 422), a multi-phase DC / DC converter including a plurality of converter units (214), the multi-phase DC / DC converter configured to receive the first DC power output from the fuel cell module (202, 302, 312, 402, 412) and the second DC power output from the battery module (204, 304, 314, 404, 414) and to provide the specified DC power output to the DC electric bus (206, 306, 316, 406, 416), and a controller (210, 310, 320, 410, 420, 600) operably coupled to the multi-phase DC / DC converter and configured to receive data (602D) indicative of the first DC power output, the controller (210, 310, 320, 410, 420, 600) configured to control the plurality of converter units (214) of the multi-phase DC / DC converter based on the data (602D) indicative of the first DC power output to maintain the specified DC power output to the load (212, 324, 422).

The invention discloses an electric bus station optimization scheduling method and system based on light storage and charging cooperation. The method comprises the following steps: acquiring parameters; according to the obtained parameters, an electric bus charging and discharging behavior model, a photovoltaic output model, an energy storage system operation model and a charging pile operation model considering a one-pile multi-gun sharing mode are established; by taking the minimization of the total operation cost of the station as a target and taking the established unit models as constraints, constructing an optical storage and charging integrated electric bus station optimization scheduling model, and solving to obtain a scheduling plan in the station; and issuing the solved scheduling plan to a station operation control system to generate a scheduling instruction and a charging and discharging instruction of the electric bus so as to realize cooperative scheduling of the station optical storage and charging resources. According to the method, the physical matching relation of the vehicle pile gun is depicted finely, the problem of symmetric solution space explosion caused by neglecting equipment homogenization in a traditional model is solved, and the solving efficiency and feasibility of a large-scale scheduling problem are remarkably improved.

This invention relates to a method, system, device, and medium for synchronous control of dual motors in an electric bus door enclosure, belonging to the fields of smart home and automatic control technology. The method includes: collecting local motor speed data and sending it in real-time to other motor control systems within the same linkage group; receiving motor position data from other motor control systems; calculating speed and position deviations in real-time based on the local motor speed data and the received motor position data; and then, based on the deviations and preset full-stroke friction characteristic data, compensating for the speed of the local motor to ensure synchronous operation of all motors within the same linkage group. This application can reduce the false alarm rate of stall, reduce mechanical impact noise, extend the life of transmission components, and achieve accurate fault identification.

The invention discloses a wide-voltage high-power conduction charging device for the new energy industry, and relates to the technical field of conduction charging, the wide-voltage high-power conduction charging device comprises a charging pile, a power distribution cabin is installed above the charging pile, a power module is arranged in the power distribution cabin, and the power module comprises at least three power blocks; the power distribution cabin is internally provided with a conversion module, the conversion module comprises a connecting frame set, nut lantern rings are symmetrically installed below the connecting frame set, reciprocating screw shafts are installed in the nut lantern rings, and the combination of the conversion power module is changed. According to the charging pile, a single small-power part is used for charging a small-sized electric vehicle, and the three modules work at the same time to provide quick charging for a large-sized electric bus, so that the universality of the charging pile is remarkably improved through the flexible adjusting mode, diversified charging requirements are met, and daily slow charging of the small-sized vehicle and emergency quick charging of the large-sized vehicle can be freely dealt with.

The invention relates to a collaborative optimization method for charging station facility configuration and electric bus charging scheduling. The method comprises the following steps: step 1, collecting data; 2, calculating the carbon emission cost and the charging cost of the vehicle charged from the power grid; 3, calculating the photovoltaic power generation carbon emission cost and the charging cost of the charging station; step 4, calculating photovoltaic internet surfing income of the charging station; 5, photovoltaic panels and energy storage capacity configuration limits of all stations are calculated; step 6, constructing a joint optimization model of multi-station photovoltaic energy storage charging station facility configuration and electric bus charging scheduling; and 7, solving the joint optimization model established in the step 6, and obtaining the optimal number of photovoltaic panels configured at different stations, the optimal energy storage battery capacity configuration configured at different stations and different vehicle charging scheduling plans. Compared with the prior art, the method has the advantages that the utilization rate of the stations is improved, local stations are prevented from being overloaded, resources of other stations are prevented from being idle, and the photovoltaic power generation consumption condition is improved.

The utility model relates to a battery equalization intelligent control circuit for a pure electric bus, which comprises a sensor power supply output sub-circuit, a switch input sub-circuit, an analog input sub-circuit, a PWM (Pulse Width Modulation) input sampling sub-circuit, a CAN (Controller Area Network) communication sub-circuit and an MCU (Microprogrammed Control Unit) control sub-circuit, the sensor power supply output sub-circuit, the switch input sub-circuit, the analog input sub-circuit, the PWM input sampling sub-circuit and the CAN communication sub-circuit are respectively in communication connection with the MCU control sub-circuit. According to the utility model, data is acquired through the sensor power supply output sub-circuit, the switch input sub-circuit, the analog input sub-circuit and the PWM input sampling sub-circuit, the MCU control sub-circuit judges and selects a current battery equalization mode, and battery equalization and battery protection are realized through control of the CAN communication sub-circuit.

This invention relates to the field of electric bus control, and particularly to a method, system, device, and medium for dual-motor coordinated control of an electric bus. The method involves acquiring multi-source state data of a pure electric bus during operation and constructing a working condition feature vector. Based on the working condition feature vector, historical operating data is subjected to working condition clustering analysis to establish a mapping relationship between working condition features and coordinated control parameters. A dual-motor coordinated control parameter optimization model is constructed, and under constraints of motor efficiency spectrum, battery power boundary, and system stability, the coordinated control parameters are optimized through multi-objective optimization to obtain the optimal coordinated control parameter vector. This enhances the adaptability of the vehicle control system under complex operating conditions, extends the service life of the motor and power system, improves the stability and reliability of the vehicle control system, reduces the impact of torque fluctuations, and improves passenger comfort.

The application discloses a kind of electric bus active suspension control method and system, method includes according to bus parameter and motor distribution establishes the half vehicle dynamics model of bus, constructs the state space equation of model, obtains the active suspension model suitable for bus;Considering the mass distribution change and centroid position change caused by bus passengers getting on and off and walking in the car, a social force model is established;And through the social force model, the relationship between the number of passengers on the bus and the front and rear distribution of passengers is obtained according to the particle swarm optimization algorithm, the passenger distribution law is obtained, and the active suspension model suitable for mass distribution change and centroid position change is established after the range of uncertain parameters is determined;For the direct interference of rear motor vibration, PID control is designed to adapt to the vibration of motor under different working conditions;By deriving the theorem of H2 / H ∞ control, the active suspension feedback control law when the mass distribution changes and the centroid position changes is obtained.The application can effectively improve the comfort of bus.

The utility model discloses an auxiliary welding device for a battery bracket of a new energy electric bus. The auxiliary welding device aims at solving the problems that traditional welding positioning is difficult, clamping is not stable, and universality is poor. The device comprises a bottom, a bottom plate groove is formed in the bottom, and a threaded rod and a guide rod in the groove are connected with a rotating motor to drive a movable vertical plate and a fixed vertical plate to adjust the distance. Aligning groove holes are formed in the opposite faces of the two vertical grooves, a limiting clamp assembly is arranged above to clamp a workpiece, and an adjusting assembly is installed in the middle vertical groove. The limiting clamp assembly controls a clamp lead screw through a limiting motor, and precise clamping is achieved. And the adjusting assembly integrates various transmission structures, so that the movable plate can be flexibly adjusted in a three-dimensional space. An arc-shaped shallow groove in the movable plate assists in positioning, a laser transmitter and a laser receiver on the lower surface are arranged in a crossed mode, and position deviation is monitored in real time and calibrated. The device is accurate in positioning, stable in clamping and high in universality, the welding quality and production efficiency of the battery bracket are effectively improved, and development of the new energy electric bus manufacturing industry is promoted.

The invention belongs to the technical field of passenger cars, and discloses a hydrogen fuel cell electric passenger car which comprises a car frame, a power system and a plurality of hydrogen cylinders, front wheels and rear wheels are arranged on the car frame, the power system is arranged on the car frame, and the power system comprises a fuel cell, a driving motor and a power battery pack which are sequentially arranged in the length direction of the car frame. The driving motor is in transmission connection with the rear wheels through the transmission shaft and the rear axle so as to drive the rear wheels to walk, the multiple hydrogen cylinders are installed on the frame and used for providing hydrogen towards the fuel cell, one part of the hydrogen cylinders are located on the rear sides of the rear wheels, and the other part of the hydrogen cylinders are located between the front wheels and the rear wheels and installed on the two sides of the frame in the width direction of the frame respectively. The hydrogen fuel cell electric motor coach is high in energy utilization rate, long in endurance mileage and high in space utilization rate.

The invention relates to the field of electric vehicle energy consumption prediction, in particular to an energy consumption prediction and optimization method and system based on explanatory machine learning, and the method comprises the steps: presetting a plurality of working condition characteristic parameters based on historical data of an electric bus; constructing an energy consumption data set of the electric bus in various scenes based on the working condition characteristic parameters; training a plurality of preset models based on the energy consumption data set to obtain a plurality of energy consumption prediction models; explaining the plurality of energy consumption prediction models based on an explanatory machine learning method to obtain contribution information of each working condition characteristic parameter to energy consumption; and an energy consumption prediction system and an energy consumption optimization system are constructed based on the contribution information, and the problems that in the prior art, the data collection cost is high, the model interpretability is poor, and energy consumption optimization decisions cannot be effectively supported can be solved.

The present invention relates to a fire suppression apparatus for an electric bus, comprising: a fire-extinguishing water tank provided in a transportation vehicle; a foldable frame folded or unfolded through hydraulic pressure; and a fire-extinguishing water injection lance, which is to perforate a battery disposed at the upper portion of an electric bus, and then injects fire-extinguishing water into the battery.

The invention discloses a typhoon pre-disaster and post-disaster interconnected power distribution network recovery method based on a reconfigurable soft switch, and the method comprises the steps: considering the power support function of an electric bus in a pre-disaster stage, combining the reconfigurable soft switch with the port topology cooperative change of the interconnected power distribution network, building a pre-disaster deployment model of the electric bus, and carrying out the power support function of the electric bus; therefore, the parking position of the electric bus before the fault occurs is determined; in the post-disaster stage, the uncertainty of renewable energy sources and loads in continuous faults and recovery of the interconnected power distribution network is considered, an event-driven recovery model is constructed by defining fault events and predicting error events through an event-driven mechanism, and therefore an interconnected power distribution network fault recovery strategy is obtained to promote fault recovery of the interconnected power distribution network. According to the invention, fault deduction can be carried out before disasters, potential power-losing loads are reduced, and power supply recovery after disasters is accelerated; in the post-disaster continuous fault state, strategy updating can be triggered in real time, and the method adapts to fault evolution and uncertainty of renewable energy sources and loads.

The present application relates to the technical field of bus charging, in particular to a bus fast charging station orderly charging method based on a data-driven energy efficiency model; first, the power demand meeting the operation of a bus line is determined, and then a relationship between charging energy conversion efficiency and the actual charging power of a vehicle-mounted energy storage system is established; taking the minimum actual power consumption of the charging station in a day or the minimum actual electricity cost of the charging station in a day as an objective function, wherein the charging energy conversion efficiency is considered, a nonlinear optimization objective function model is established with the power demand of the electric bus line operation, the continuity of the electric bus charging time as constraint conditions, then the nonlinear optimization objective function model is converted into a mixed integer convex programming problem using piecewise linearization, and the optimal charging plan is obtained by solving the mixed integer convex programming problem; the present scheme can further improve the energy conversion efficiency of charging on the basis of traditional orderly charging, reduce the power consumption cost of the charging station operator and the charging cost of the electric bus, and improve the economy.

1. The name of the design product: electric bus top-mounted air conditioner. 2. The use of the design product: for electric bus air conditioner temperature regulation. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: perspective view. 5. The bottom of the design product is not easily visible or not visible during use, and the top view is omitted.

This invention relates to a method, device, and medium for optimizing the matching of flexibility resources for electric buses. It constructs a single-vehicle energy consumption prediction model for electric buses that includes a quadratic temperature term, and establishes a battery capacity correction model that considers low-temperature degradation and limited regenerative braking to obtain the physical boundary of flexibility resources. The method uses kernel density estimation to fit the probability distribution of bus return time and dwell time, and combines this with the energy consumption prediction model to establish state-of-charge (SOC) opportunity constraints. Under the physical boundary of flexibility resources and SOC opportunity constraints, a hierarchical response mechanism with dead-zone control is used to implement vehicle-grid flexibility supply and demand matching, and to formulate an optimal vehicle-grid coordinated flexibility resource allocation scheme. Compared with existing technologies, this invention can correct the energy consumption prediction bias of traditional linear models under extreme temperatures, alleviate the scheduling mismatch problem caused by the randomness of return time, and improve the response capability of electric bus clusters to participate in grid peak load reduction while considering battery life.

The invention relates to the technical field of new energy buses, and discloses a fuel cell electric bus shutdown purging optimization control method, which comprises the following steps: S1, triggering and initializing; s2, evaluating a purging demand; s3, formulating an energy budget; s4, dynamic purging control and energy distribution; and S5, executing and terminating. Feedback control is carried out based on the real-time state (internal resistance) of the electric pile, excessive purging or insufficient purging in a fixed mode is avoided, and safety and health of the electric pile after shutdown can be ensured more reliably. Through intelligent energy budget management and purging mode switching, unnecessary energy consumption is reduced to the greatest extent, the loss of a secondary battery is reduced, and the energy utilization efficiency and reliability of the whole system are improved.

The invention relates to an electric bus charging scheduling method considering distributed photovoltaic power generation and battery degradation. The method comprises the steps of 1, collecting data; step 2, calculating vehicle operation electric charge; 3, calculating the battery degradation cost of vehicle charging; step 4, obtaining a linearized battery degradation cost; 5, based on the data collected in the step 1, the vehicle operation electric charge and the linearized battery degradation cost, constructing an optimization model with the goal of minimizing the sum of the vehicle operation electric charge and the linearized battery degradation cost; 6, establishing a series of constraint conditions which correspond to the optimization model and are used for describing vehicle dynamics, charging station energy circulation and physical limitation; and 7, solving the optimization model established in the step 5 to obtain an electric bus charging scheduling plan. Compared with the prior art, the method has the advantages that the problem that the whole life cycle cost is high due to the fact that traditional charging scheduling only takes short-term electricity charge and neglects long-term battery loss is solved, and the like.

A power supply device for a vehicle, in particular for a utility vehicle such as an electric bus or an electric heavy goods vehicle, includes at least one contact head that can be brought in contact with a docking apparatus to establish an electrical connection, and includes at least a first pivot arm that is connected to the at least one contact head and can be rotatably connected to a vehicle, and includes a return apparatus, where the return apparatus is formed, as a driver with respect to the at least one first pivot arm, to be placable on the at least first pivot arm and removable from the at least first pivot arm such that a safe return of the first pivot arm is ensured.

This invention discloses a traffic control method and system for an inspection robot and an electric shuttle bus. The method includes: S1. collecting laser ranging data of the wheel axle cross-section of the electric shuttle bus; S2. performing large-step sliding median filtering; S3. filtering valid data segments containing axle data; S4. extracting valid data segments and performing small-step sliding median filtering on them; S5. calculating the mode of the amplitude in the valid data segments and replacing abnormal amplitudes exceeding a preset threshold with the mode; S6. identifying abrupt change points in the wheel axle profile in the valid data segments; S7. filtering abrupt change points; S8. calculating the position and forward speed of the electric shuttle bus; S9. transmitting the position and forward speed of the electric shuttle bus to the robot scheduling system; S10. making traffic control decisions based on the real-time position and speed prediction results of the electric shuttle bus and the real-time task path of the robot. This invention has advantages such as improved operational efficiency and safety.

The present application relates to electric bus charging joint scheduling technical field, provide electric bus fixed and dynamic wireless charging joint scheduling method and system. Electric bus fixed and dynamic wireless charging joint scheduling method includes that fixed and dynamic wireless charging coordination problem is modeled as limited time domain constraint Markov decision process, and then the power of fixed and dynamic wireless charging is determined as charging scheduling strategy based on system state, and the optimization objective function is constructed as minimizing cumulative expected energy cost within the set operation period; the optimization objective function is solved by using the rolling time domain model predictive control method, and the terminal SOC shortage cost is decomposed into the expansion and contraction of the stage cost by using the convex potential function, while keeping the optimal charging scheduling strategy, the end of the day requirement is internalized in the rolling time domain of the rolling time domain model predictive control method.