46 results about "Energy-efficient driving" patented technology

The invention belongs to the technical field of urban mass transit and particularly relates to an energy-saving method of train operation of the urban mass transit. The energy-saving method comprises the steps of 1, analyzing operation matching rules of adjacent trains and computing the size of utilized regeneration energy; 2, establishing an optimization model of the train operation by taking the utilized regeneration energy as the target; 3, solving the optimization model to obtain an energy-saving time table of the train operation of the urban mass transit. By means of the energy-saving method, energy consumption during train operation is reduced, and security of an overhead line system is improved. Furthermore, the energy-saving method has the advantages of (1) being high in operation speed and applicable to large-scale computer simulation by adopting an integer programming method; (2) considering comprehensive factors, being high in modeling accuracy and strong in applicability of the planned operation time table; (3) being capable of embedded into hardware of a train energy-saving driving auxiliary system in an online mode, easy to implement, low in cost and wide in application range.

The invention relates to a green driving assistance cloud system and a green driving assistance cloud method. The green driving assistance cloud system comprises an intelligent cloud server and a vehicular terminal; the vehicular terminal is used for acquiring automobile running parameters via OBD (on-board diagnostics), acquiring automobile position information via a GPS (global positioning system), and transmitting the automobile running parameters and the automobile position information to the intelligent cloud server; the intelligent cloud server is used for receiving the automobile running parameters and the automobile position information which are transmitted by the vehicular terminal, analyzes the model of an automobile and driving habits of a driver, compares the driving habits of the driver to driving habits of an energy-saving driver of an automobile of the same model in an identical driving environment, generates assistance driving opinions and publishes the assistance driving opinions to the vehicular terminal. The green driving assistance cloud system and the green driving assistance cloud method have the advantages that the vehicular terminal acquires the automobile running parameters, the automobile position information and the like, the automobile running parameters, the automobile position information and the like are uploaded to the intelligent cloud server, the driving habits of the driver are intelligently analyzed by means of analyzing data, and are comprehensively compared to the driving habits of the automobile owner who drives the automobile of the same model and is capable of saving fuel, and the assistance driving opinions are provided for the user and are fed back to the vehicular terminal, so that the driver can be assisted to save energy and reduce emission.

A method and system for the operation of trains on a rail network, and particularly in the context of long-haul rail networks. The invention provides a method and system which monitors the progress of a train on a long-haul network, calculates efficient control profiles for the train, and displays driving advice to the train crew. The system calculates and provides driving advice that assists to keep the train on time and reduce the energy used by the train by: (i) monitoring the progress of a journey to determine the current location and speed of the train; (ii) estimating some parameters of a train performance model; (iii) calculating or selecting an energy-efficient driving strategy that will get the train to the next key location as close as possible to the desired time; and (iv) generating and providing driving advice for the driver.

This invention relates to a method and system for the operation of trains on a rail network, and has particular application in the context of long-haul rail networks. The invention provides a method and system which monitors the progress of a train on a long-haul network, calculates efficient control profiles for the train, and displays driving advice to the train crew. The system calculates and provides driving advice that assists to keep the train on time and reduce the energy used by the train by: (i) monitoring the progress of a journey to determine the current location and speed of the train; (ii) estimating some parameters of a train performance model; (iii) calculating or selecting an energy-efficient driving strategy that will get the train to the next key location as close as possible to the desired time; and (iv) generating and providing driving advice for the driver.

In view of the energy consumption problem of the rail transit train operation, the present invention proposes a method and a system for optimizing the energy-saving operation of the subway train basedon the bio-geographical algorithm. The bio-geographic algorithm proposed by the present invention is optimized in two phases. In the first phase, the bio-geographical algorithm is used to comprehensively search the optimal energy-saving driving curve of the train, that is, under the premise of meeting the vehicle operation condition, running time, and stopping accuracy constraints, the optimal operation speed curve is obtained to reach the energy-saving effect; and the second phase is the optimization of the schedule running time, and the bio-geographical algorithm is used to optimize the stop time increment of each train at each site, optimize the original train operation schedule, and allow more trains to go in and out the site at the same time in the same power supply area to improve the utilization of renewable energy. The method and system provided by the present invention have better improvement on the multi-objective and high-dimension problems of trains, have obvious effects on the convergence speed and precision of the optimized parameters, and have good effects to the energy-saving operation of the trains in the actual routes and to the formulation and optimization of the schedule under the normal operation conditions of a given train.

The invention particularly relates to a driver energy saving evaluation method. The method comprises the following steps of: firstly dividing a vehicle running route into at least one kinematic fragment, and generating a running condition type of each kinematic fragment through a preset running condition classification model; generating an energy saving grade of each kinematic fragment according to energy saving degree evaluation models corresponding to different running condition types; and finally generating a driver energy saving evaluation score of the vehicle running route according to the energy saving grades of all the kinematic fragments and a preset score of each energy saving grade. According to the method, the kinematic fragments are taken as basic units for the energy saving evaluation of drivers, and through recognizing the running condition types of the kinematic fragments, the influences, on the energy saving driving evaluation, of road traffic conditions can be lightened so that universality is provided. Meanwhile, the method is capable of automatically selecting energy saving degree evaluation models with best effect to generate energy saving grades according to the running condition types, so as to quantifying the energy saving driving levels of drivers more objectively and reasonably.

The invention relates to a vehicle-mounted networking energy-saving auxiliary driving control method and system, and belongs to the technical field of vehicle energy saving. Different from other energy-saving driving technologies, the method is characterized in that a V2I technology-based vehicle queue length estimation method is constructed to predict an effective green light passable time interval when a networked vehicle arrives at an intersection. Secondly, a layered energy-saving optimization strategy system is developed, the first layer provides a global recommendation optimal speed with minimum energy consumption as a target, and the second layer considers a driver tracking error and re-plans to obtain a corrected recommendation speed. Implementation proves that the improved EADS considering the traffic flow queuing effect and the driving error can help the driver to execute the suggested energy-saving speed, and then the energy-saving performance of the vehicle is improved.

The invention discloses a layered fuel cell vehicle energy-saving driving method, which comprises the following steps of: in upper-layer calculation, acquiring road information of all road sections, such as speed limit conditions, road slopes, signal lamp positions and signal timing of each road section, constructing a fuel cell vehicle longitudinal dynamic model and a cost function including vehicle demand power and driving time, and then obtaining an optimal driving track of the vehicle under global vehicle speed planning by using an optimization algorithm; in the lower layer calculation, establishing a fuel cell system model, a motor system model and a power cell system model according to a power structure of the fuel cell automobile; performing convex conversion processing on the model, and establishing a vehicle dynamics model meeting a convex optimization algorithm standard normal form; inputting the optimal vehicle speed track calculated by the upper layer as a vehicle driving working condition, and solving the whole vehicle energy management problem; and obtaining the vehicle speed track, the SOC track of the power battery and the output power track of the fuel battery of the whole road section according to the calculation result.

The invention provides a real-time optimization method for an energy-saving driving strategy between two intersections under a time-varying condition, which belongs to the technical field of automobile driving assistance systems. An optimal energy-saving driving strategy off-line calculation model with hybrid power vehicle wheel end energy consumption as a target function is constructed based on a double-state dynamic programming algorithm, and an optimal energy-saving vehicle speed track and a driving strategy under the boundary meeting different driving time, driving-in vehicle speeds at two intersections, driving-out vehicle speeds at two intersections and driving mileage between the intersections are solved. An optimal energy-saving vehicle speed track and a driving strategy library under different boundary conditions are established. A near-optimal driving strategy real-time calculation model is constructed based on an artificial neural network algorithm, a constructed optimal energy-saving vehicle speed track and a driving strategy library are taken as training samples, and the method has relatively high calculation precision, short calculation time and relatively strong energy-saving capability.

The invention discloses a motor control method and device for an electric vehicle. The motor control method comprises the steps of obtaining current driving information and current road condition information of the vehicle; and, in response to detection of obstacle information from the current road condition information, calculating energy-saving driving torque information according to the current driving information and the obstacle information, and outputting the energy-saving driving torque information to a motor controller to control the output torque of a motor. Reasonable distribution of torque for motor control can be effectively improved, and meanwhile, a certain active safety function is achieved, so that the motor control efficiency is effectively improved, the safety of the electric automobile is improved, the energy consumption of the electric automobile is effectively reduced, and the endurance mileage of the electric automobile is increased.

The invention discloses an energy-saving driving prompting method, device and equipment and a storage medium. The method comprises the steps of according to collected whole vehicle driving instantaneous parameters, whole vehicle braking parameters, whole vehicle driving reference parameters and fuel consumption parameters of all electric appliance assemblies, calculating to obtain driving fuel consumption reference data, braking fuel consumption reference data, driving fuel consumption instantaneous data, braking fuel consumption instantaneous data and electric appliance assembly fuel consumption data, wherein the electric drive assembly fuel consumption data comprises instantaneous data and reference data; calculating to obtain equivalent fuel consumption instantaneous data and equivalentfuel consumption reference data; and converting the difference value between the equivalent fuel consumption instantaneous data and the equivalent fuel consumption reference data into a virtual mileag for conducting energy-saving driving prompt. According to the method, information such as the engine, the motor and the vehicle speed is comprehensively considered, the method can be applied to a traditional vehicle, a hybrid electric vehicle and a pure electric vehicle at the same time, the design cost and complexity of the vehicle are reduced, and a user can keep a good driving habit.

The invention provides a robust energy management method and system for an intelligent networked hybrid electric vehicle. The method comprises the steps of obtaining an energy-saving driving decisionbased on man-machine cooperation and global and real-time working condition updating based on intelligent network connection; executing an energy management strategy based on deep reinforcement learning based on the energy-saving driving decision and the global and real-time working condition update; performing strategy robustness correction on the energy management strategy based on deep reinforcement learning to obtain a corrected robustness control strategy; and applying the corrected robust control strategy to the hybrid electric vehicle to obtain an energy distribution result of the hybrid electric vehicle. According to the robust energy management method for the intelligent networked hybrid electric vehicle, the robustness problem of the deep reinforcement learning energy managementstrategy is effectively solved, the energy-saving effect of the hybrid electric vehicle in the networked environment is improved, and the method has good engineering application value.

The invention discloses a vehicle energy consumption analysis method, device and equipment and a computer readable medium. The vehicle energy consumption analysis method comprises the steps of collecting running data and energy consumption data of a vehicle; screening an evaluation sample in the running data and the energy consumption data of the vehicle; constructing an energy consumption analysis model of the vehicle according to the evaluation sample; and analyzing energy consumption of the vehicle through the energy consumption analysis model. According to the vehicle energy consumption analysis method, device and equipment and the computer readable medium, disclosed by the embodiment of the invention, by collecting the running data and the energy consumption data of the vehicle, suchas vehicle energy consumption related parameters of an accelerator pedal ratio, ab brake pedal ratio, a motor rotation speed, a motor torque and the like, and screening the collected data, the evaluation sample is obtained. As the vehicle energy consumption analysis model is finally established according to the evaluation sample, influences of different parameters on energy consumption in the vehicle running process can be accurately calculated so as to effectively perform deep analysis on vehicle energy consumption influencing factors, and therefore, an improved method is provided for productresearch and vehicle owner energy-saving driving.

The invention discloses an energy-saving driving optimization method and device for a fuel cell vehicle. The method comprises the steps that a fuel cell vehicle system model and a system power balance model of the fuel cell vehicle system model are established; in the electric quantity maintaining mode, the optimal energy management strategy of the fuel cell vehicle under various working conditions is solved; training based on the obtained optimal database to obtain a data-driven energy management model; establishing a training scene containing a signal lamp, and defining a state space and an action space; according to the data-driven energy management model, obtaining fuel consumption of the fuel cell vehicle in a certain state and under a corresponding action, and establishing a related return function model; and training in the training scene to obtain an energy-saving driving optimization model. According to the method provided by the invention, the advantages of joint optimization and hierarchical optimization are combined, a pre-optimized energy management strategy can be fused into fuel cell vehicle speed planning based on deep reinforcement learning, and the balance of energy consumption economy and real-time performance is realized.

The invention provides a new energy bus co-scheduling and energy-saving driving system and a control method thereof. In the operation process of a bus system, firstly, GPS information and power battery states of all buses on the same line and the number of passengers waiting in each station are obtained; the time for the bus to arrive at the next station is planned according to the passenger waiting state and the bus driving state, the bus adjusts the speed of the bus based on the traffic state of the current driving road and the state of a power battery, and then the bus energy management system calculates the power demand according to the required speed acceleration and further calculates the energy distribution of a power source. Compared with traditional bus scheduling, the method considers power battery recession and energy management of a new energy bus power system, and links the individual energy-saving driving of the buses with the operation efficiency of the whole bus system by using speed adjustment, thereby avoiding bus bunching and uneven driving distribution. And meanwhile, frequent acceleration and deceleration are reduced, the energy utilization efficiency of a power system is improved, and maximization of economic benefits is achieved.

An automobile electrical control safe and energy-saving technology is composed of a microcomputer control system, a steering system, a clutch pedal system, an accelerator pedal system, an engine system, a speed changing system, a mechanical sliding structure control system, a brake system and a data transmission cable. The automobile electrical control safe and energy-saving technology mainly serves as the safety technological guarantee for an automobile mechanical sliding energy-saving type device, reduces fatigue driving and further improves the energy-saving and emission-reducing effects of a mechanical energy-saving device. The automobile electrical control safe and energy-saving technology has the manual and automatic driving and energy-saving driving functions, stable and convenient automatic flameout and fuel cut can be achieved only by touching a flameout switch when there is a traffic jam or a red light is turned on, an engine can be automatically ignited and oil can be supplied again by touching a start switch when there is no traffic jam or a green light is turned on, and electrical control sliding efficient energy saving is achieved. When an automobile is driven at a high speed, in the emergency of sudden dangerous situations, a driver only needs to brake instinctively within the limited time and distance, and then double brake safety risk avoiding of wheels and an engine can be achieved.

The invention discloses an energy-saving processing method. The method comprises the steps that various energy-saving modes of a vehicle are obtained; when the vehicle is in one certain energy-savingmode, the sub energy-saving driving mileage in the certain energy-saving mode is obtained; when the vehicle is not in the energy-saving mode, the sub energy-saving driving mileage in the certain energy-saving mode is recorded as zero; the total energy-saving driving mileage is obtained according to all the sub energy-saving driving mileages; and the total energy-saving driving mileage is displayed. The invention further discloses a new energy automobile. A driver can visually obtain the instant feedback that the oil-saving (electricity-saving) function of the new energy automobile achieves anenergy-saving effect, the driver is stimulated in the mode of feeding back the energy-saving effect, the driver develops good driving and automobile using habits, and the maximum effect of the energy-saving function is achieved.

The invention belongs to the technical field of energy-saving driving, and discloses a vehicle speed trajectory planning method, device and equipment and a storage medium. The method comprises the following steps: acquiring speed information and energy consumption information of each target vehicle; generating an energy consumption calculation model of the target vehicle according to the energy consumption information and the speed information; acquiring speed and vehicle distance limiting conditions, and acceleration information and speed and distance information of the speed limiting conditions in each target vehicle; establishing a constraint objective function according to the speed and vehicle distance limiting condition, the acceleration information, the speed and distance information and the state constraint condition; and planning the speed track of each target vehicle according to the energy consumption calculation model, the speed limiting condition, the acceleration information, the speed distance information and the constraint target function. Through the above mode, the energy consumption information is determined through the speed information of each target vehicle, so that the energy consumption calculation model is generated, the constraint target function is established, and the vehicle speed track of each target vehicle is planned, thereby reducing unnecessary acceleration and deceleration, and reducing the energy consumption of the vehicle.

The invention discloses an energy-saving driving control method for a networked vehicle under a multi-signal-lamp road condition based on a pseudo-spectral method, relates to the technical field of intelligent traffic, and solves the technical problems that vehicle speed planning is not economical enough and the efficiency of a control method is not high. According to the technical scheme, the economical running speed of the vehicle at the multi-signal-lamp intersection is planned based on the pseudo-spectral method, unnecessary starting and stopping of the vehicle at the signal lamp intersection can be reduced, and therefore the economical efficiency, comfort and traffic efficiency of the vehicle are improved. The speed planned by the pseudo-spectral method can reach an energy saving rate similar to that of a dynamic planning method, and the solving time of the pseudo-spectral method is far shorter than that of the dynamic planning method.

The invention discloses a fuel cell vehicle energy-saving driving method and system based on convex optimization. The method comprises the steps that hydrogen consumption of a fuel cell vehicle running at a constant speed at different speeds is obtained, and a static hydrogen consumption diagram is drawn; acquiring traffic information of a driving route of the fuel cell vehicle; according to the static hydrogen consumption diagram and the traffic information, determining an optimal green light window for driving of the fuel cell vehicle, and determining a search area of an optimal driving path according to the optimal green light window; taking the minimum total demand power of the fuel cell vehicle as an optimization target, establishing a convex programming model in combination with the search area, and determining an optimal driving path and an optimal vehicle speed track of the fuel cell vehicle according to the convex programming model; and determining the output power of each power source of the fuel cell vehicle by adopting an energy management method based on an alternating direction multiplier method according to the optimal vehicle speed track. According to the method, vehicle speed planning of multiple signal lamps can be rapidly completed, and the energy-saving effect is good.

The invention relates to average energy consumption and instantaneous energy consumption display methods and devices of a fuel cell automobile. The average energy consumption display method comprisesthe following steps: calculating the current average energy consumption of the automobile under different working conditions, and displaying the average energy consumption and the unit corresponding to the average energy consumption, wherein the corresponding working conditions when the current average energy consumption of the automobile is calculated include a pure electric working condition that a fuel cell is not started and a hybrid power working condition that the fuel cell is started. According to the average energy consumption and instantaneous energy consumption display methods and devices of the fuel cell automobile, the accurate data of the energy consumption of the automobile are calculated and displayed according to the working conditions that the fuel cell does not start pureelectric power and the fuel cell starts hybrid power, so that a driver can know the energy consumption conditions of the automobile under different working conditions in real time, thereby helping the driver to optimize driving habits and realizing energy-saving driving.

The invention provides a single-vehicle air conditioner energy consumption prediction method and prediction device based on working condition recognition. The method comprises the steps: firstly obtaining current environment temperature information, calculating the average speed, average acceleration and average idle speed duration of the current working condition, and obtaining the feature information of the current working condition; obtaining cold start energy consumption f1 of the current working condition; obtaining the air conditioner energy consumption f2 of the idle speed segment; obtaining the air conditioner energy consumption f3 of the current working condition motion segment; finally obtaining a temperature correction factor k; and weighting the f1, the f2 and the f3 to obtain the comprehensive energy consumption of the air conditioner under the current working condition. According to the single-vehicle air conditioner energy consumption prediction method and prediction device based on working condition recognition, remote transmission data generated in the actual driving process of a user is used as the basis, a traditional method for actual road collection is replaced, and obvious advantages exist in the aspects of the data coverage range, the collection period and the collection cost; and the air conditioner energy consumption can be accurately estimated, and support is provided for energy-saving driving and government supervision.

The present invention provides an intuitive energy-saving driving assistance method and system. The system is arranged on a vehicle and includes an input module, a control module and an output module. The control module is electrically connected to the input module and the output module respectively, and the input The module obtains the front image of the vehicle and the speed signal respectively, so that the control module can identify the speed limit of the road ahead of the vehicle, the traffic lights in the traffic signal, and the speed and distance of the obstacle in front of the vehicle, and then according to the road limit and the actual speed, the output The module prompts energy-saving instructions or driving restrictions suitable for road conditions by visual or sound, so that there is no need to set up a complicated system to solve the complicated and high-cost problems of energy-saving improvements for existing vehicles, and to improve road conditions due to inability to respond immediately conditions and actively correct driving behavior, but has the disadvantage of fuel consumption.

A vehicle energy consumption influence analysis method based on a naive Bayesian model comprises the steps that vehicle driving data are processed and then calculated to obtain vehicle data information; performing multi-dimensional analysis on the vehicle data information through online analysis processing to obtain two-dimensional views of vehicle factors and fuel consumption, and screening to obtain factors influencing the fuel consumption by judging whether various vehicle factors are associated with the two-dimensional views of the fuel consumption or not; carrying out discretization processing on the screened factors influencing the oil consumption, then dividing the factors into a plurality of subclasses, calculating estimation probabilities of the various factors influencing the oilconsumption through a naive Bayesian model, and determining information having the maximum influence on the oil consumption. According to the invention, an online analysis processing system is adopted for data analysis, whether each factor is associated with oil consumption and factors associated with the oil consumption are analyzed, and main fuel-saving influence factors are determined by usingdata mining, so that the driving habit and style of a driver are determined, driving suggestions are given, and the purpose of energy-saving driving is achieved.

The invention provides a train energy-saving driving curve dynamic optimization method and a system, and the method comprises the steps: constructing a high-dimensional map network based on space-time decomposition through combining an electric train model, relying on a Pincare extreme value principle, and combining a working condition set of maximum traction-traction cruising-coasting-braking cruising-maximum braking of train optimal driving; taking discretized 'time-space-energy' state points as nodes, adopting a multi-dimensional complex resource for describing a connecting arc between the nodes, and abstracting a single-train optimal control problem into a shortest path travel problem with time window constraint. The method disclosed by the invention is small in calculation amount, meets the real-time calculation requirement of the system, and can be directly applied to a train energy-saving driving curve optimization system so as to solve the problems that the calculation speed and the storage capacity of a current train automatic driving system are limited, and a complex algorithm is often difficult to meet the real-time requirement of calculation.

A vehicle control system (100) and method for energy saving driving, and a computer program product (500). The vehicle control system (100) comprises: processing circuitry (102a, 102b) configured to enable the vehicle control system (100) to: determine that the vehicle (1) is approaching a stop point; determining whether the vehicle (1) needs to stop at the stop point; determining the presence of at least a first further vehicle (2a, 2b, 2c) within a predetermined distance behind the vehicle (1); and determining an expected route of the at least first further vehicle (2a, 2b, 2c) to determine whether the vehicle (1) is ready for at least a first energy saving action.

The invention provides a rail car fuel oil monitoring system and method. The rail car fuel oil monitoring system comprises an information acquisition layer, an information transmission layer and an information processing layer, wherein the information acquisition layer comprises remote data transmission equipment, operation control equipment and a fuel oil monitoring device; the operation control equipment, the remote data transmission equipment and the fuel oil monitoring device are electrically connected in sequence; the fuel oil monitoring device comprises a liquid level sensor installed in an oil tank, an oil inlet flow sensor installed in an oil inlet pipeline of an engine, an oil return flow sensor installed in an oil return pipeline and a tail gas sensor installed on an exhaust pipe of the engine, data collected and monitored by all the sensors is transmitted to an NRJ host, AND the MCU processor is used for processing the monitoring data, so that the fuel consumption of the rail car, the fuel consumption performance of an engine and the energy-saving driving ability of a driver are determined, accurate monitoring of the fuel consumption in the whole running and construction process of the rail car is achieved, the defects of manual management are completely eradicated, and the fuel waste behavior is reduced.

The invention discloses a vehicle-road interaction technology-based energy-saving driving strategy prompt system and a working method thereof. The system comprises a radio frequency transmitter which is arranged at an intersection and can acquire traffic information of the intersection, and an energy-saving driving strategy prompt device which is arranged on a vehicle, wherein the device consistsof a software part and a hardware part; the hardware part consists of a microprocessor, a radio frequency receiver, a vehicle-mounted global position system (GPS) navigator and a display and / or a voice prompter; and the software part mainly refers to an energy-saving driving strategy operating module. When the vehicle enters a road section with a signal control intersection ahead, the energy-saving driving strategy prompt device matches real-time data of the vehicle-mounted GPS navigator with the received traffic information, processes the data and the information through the energy-saving driving strategy operating module to acquire a vehicle energy-saving driving strategy, and prompts the vehicle energy-saving driving strategy to a driver through the display and / or the voice prompter. By the system, the aims of energy-saving driving and exhaust emission reduction can be fulfilled.

The invention discloses an urban railway transportation comprehensive energy saving system and a comprehensive energy saving method based on the system, and the train traction energy consumption can be reduced. The system comprises a dispatching center ATS, a ZC (zone controller) and a vehicle-mounted VOBC (vehicle on board controller), wherein train run time and planning time are calculated on the basis of flexible run chart time tables regulated in different time periods and sent to the vehicle-mounted VOBC, and after a vehicle-mounted ATO of the vehicle-mounted VOBC controls the train to arrive at a station and park, the run energy conservation grade to be performed in a next interval by the train is calculated through the advance departing state reported by the vehicle-mounted ATO andsent to the vehicle-mounted VOBC; the ZC is used for calculating the difference value of regenerative braking energy in the arrival train braking time in the current control zone and the energy required for planning run in the time periods of other trains in the same power supply zones, and when surplus energy exists, the surplus energy is converted into traction duration, and the traction duration is distributed and sent to the vehicle-mounted VOBCs of other trains; the vehicle-mounted VOBC is used for collecting corresponding energy-saving driving strategies to control train driving according to the information sent by the dispatching center ATS or the ZC.