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.

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 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 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 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 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.

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 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 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.