122 results about "Driving range" patented technology

A driving range simulation method and apparatus for a new energy vehicle, and a medium and a device. The method comprises: splitting a vehicle thermal management system model into four sub-models (110); establishing a training data set for each sub-model (120); establishing reduced-order sub-models for each sub-model (130); and integrating the model, and performing high- and low-temperature driving range simulation on a new energy vehicle (140).

The invention discloses a pure electric vehicle remaining mileage prediction method based on real vehicle data, and belongs to the field of power battery technologies and new energy automobiles, and the method comprises the following steps: collecting real vehicle operation data of a pure electric vehicle in a low temperature environment, complementing the data, and preprocessing to obtain an actual charge state; the method comprises the following steps: performing endurance grade division and Spearman correlation analysis on a vehicle to obtain characteristics with high correlation with remaining mileage and a real vehicle operation data set, and performing hyper-parameter optimization on a bidirectional long-short term neural network model network of a residual self-adaptive gating mechanism through a whale algorithm after the data set is divided; using the training set to train the optimized model, using the test set to predict the remaining mileage of the model, and finally using different vehicle types to perform generalization verification on the model. The method reduces the number of features, and effectively improves the training speed and precision of the model. The built remaining mileage estimation model can accurately predict the remaining mileage for different vehicle types.

A method and system for playing a player reactive game at a golf entertainment venue are disclosed herein. The system includes golf ball tracking sensors, hitting bays and a server. The golf ball tracking sensors are positioned at a golf driving range. The hitting bays are also at the golf driving range, and each hitting bay has a video display. The server is configured to modify gameplay based on the shot types detected.

The present invention provides a method and a system for predicting a driving range of a vehicle. The method comprises receiving, by a processor, a first dataset associated with a set of parameters of the vehicle for a first time 5 duration. The method comprises training, by the processor, a machine learning model (224) based on the received first dataset. The method comprises receiving a second dataset associated with the set of parameters of the vehicle, wherein the second dataset comprises real-time information associated with the set of parameters. The method comprises applying the 10 trained machine learning model (224) on the received second dataset. The method comprises predicting the driving range based on the application of the trained machine learning model (224) on the second dataset. The method comprises rendering the predicted driving range on the vehicle.

The system accurately manages the remaining driving range, which changes as the energy storage device heats up during driving prior to charging. [Solution] The controller 6 includes a first calculation unit 6b that calculates a first drivable distance using the remaining power obtained by subtracting the amount of heating power required to achieve a target temperature of the energy storage device when there is a request to heat the energy storage device with a heater from the remaining charge of the energy storage device; a second calculation unit 6c that calculates a second drivable distance using the remaining charge of the energy storage device when there is a request to heat the energy storage device with a heater, while outputting power to achieve a target temperature of the energy storage device; and an output unit 6e that outputs the larger of the first drivable distance and the second drivable distance to display on a display.

The invention discloses a battery thermal management control method and device, equipment and a medium. The method comprises the steps that current driving data and battery state data of a target vehicle are acquired; a user driving habit database is inquired according to the current driving data, whether current driving conforms to a user driving habit rule or not is determined, and when the current driving conforms to the user driving habit rule, target user driving habit data are obtained, and the target user driving habit data comprise at least one of habit driving power and habit driving time; according to the driving habit data of the target user and the battery state data, determining a battery adaptive thermal management strategy; and performing thermal management control on the battery of the target vehicle according to the battery self-adaptive thermal management strategy. According to the method, the battery self-adaptive thermal management strategy can be dynamically adjusted and implemented according to driving habits of different users and actual vehicle using scenes, unnecessary energy consumption under a traditional fixed threshold strategy is effectively avoided, the energy utilization efficiency is remarkably improved, and the driving range of the vehicle is prolonged.

A method and system playing a game with a fully scoreable outfield at a golf entertainment venue are disclosed herein. The system includes golf ball tracking sensors, hitting bays and a server. The golf ball tracking sensors are positioned at a golf driving range. The hitting bays are also at the golf driving range, and each hitting bay has a video display. The game includes tiles that cover an entire virtual outfield of the golf driving range.

The invention discloses a driving range calculation method and system of a flexible fuel vehicle and the vehicle. The driving range calculation method of the flexible fuel vehicle comprises the steps that according to the difference value between an actual energy consumption value and a historical energy consumption value, the current correction step length and correction amount are determined, the correction step length and the correction amount are changed along with the change of the difference value, and the average energy consumption value of the vehicle is corrected according to the current correction step length and correction amount; obtaining a total amount of fuel in a fuel tank of the vehicle; and updating the driving range of the vehicle according to the average energy consumption value of the vehicle and the total fuel amount in the fuel tank. By adopting the embodiment of the invention, the driving mileage of the vehicle can be obtained in real time according to the average energy consumption value, and the average energy consumption value is continuously corrected, so that the driving mileage is also corrected in real time, the intuitive, accurate and reliable driving mileage is further provided for a user, and the use experience of the vehicle is effectively improved.

The present invention is a self-charging battery-powered electric vehicle (EV) that integrates a dual traction battery system and a hydrogen fuel cell to enhance driving range and efficiency. The EV features a first traction battery pack and a second traction battery pack, wherein a power controller automatically switches between battery packs and enables the hydrogen fuel cell to recharge the inactive pack while driving. A hydrogen fuel cell system, coupled with swappable (i.e., selectively removable) and fixed hydrogen tanks, generates electricity for battery charging and direct propulsion. Additionally, a hydrogen tank swapping station provides secure and automated hydrogen refueling. The system optimizes energy distribution based on driving patterns, terrain, and climate conditions.

Procedures for controlling an electric vehicle, which include the following: Changing the operation of an electric vehicle in response to a predicted energy consumption value; characterized in that the method further comprises the following: Adjusting the predicted energy consumption in response to a standard deviation of fluctuations in past energy consumption values ​​(R); and Reducing a predicted remaining range (DTE) in a non-linear manner using the adjusted predicted energy consumption as a battery state of charge (BSOC, CSOC) decreases, where the predicted energy consumption value X is calculated using the following equation (1): X = μ+ z'* σ , where µ is the mean energy consumption value during a driving cycle, σ is the standard deviation of the energy consumption value during the driving cycle, and z' is a weighting factor of σ.

A driving range monitoring system for accurately monitoring the driving range of a vehicle (1), which changes due to the heating of a battery (3). The driving range monitoring system comprises: a first calculating device (6b) that calculates a first driving range (L1) available with the available electrical energy to power the vehicle (1) when there is a need to heat the battery (3); a second calculating device (6c) that calculates a second driving range (L2) available with all the electrical energy remaining in the battery (3) to power a motor (2) and to heat the battery (3) when there is a need to heat the battery (3); and a transmitting device (6e) that displays the longer of the first driving range (L1) and the second driving range (L2) on an indicator (11).

A driving range determination method and device, a vehicle and a storage medium, relating to the technical field of automobiles. The method comprises: an Internet of Vehicles platform (20) obtains a driving trajectory of a vehicle (10), the driving trajectory comprising position points constituting the driving trajectory of the vehicle (10) (S201); if the driving trajectory satisfies a driving range drawing condition, the Internet of Vehicles platform (20) generates a target closed graph on the basis of convex vertexes among the position points of the driving trajectory (S202); and the Internet of Vehicles platform (20) determines the driving range of the vehicle (10) on the basis of a graph vertex of the target closed graph (S203). The convex vertexes among the position points of the driving trajectory are obtained, and the convex vertexes are connected to generate the target closed graph, so that when the driving range of the vehicle is determined, the driving trajectory of the vehicle can be ensured to be within the driving range, the marked driving range is narrowed, and the precision of marking the driving range is improved.

The invention discloses a direct current charging adjustable method and a new energy source vehicle, and the method comprises the steps: setting a direct current fast charging multiplying power through the interaction between a cellphone APP, an instrument or an MP5 and a vehicle control unit; in the next direct current fast charging process, the A + awakens the VCU and the electric BMS; the VCU sends the charging allowing signal and the setting result of the direct current fast charging rate to the BMS; the BMS recalculates the charging request current according to the setting result of the direct current fast charging rate; the BMS sends the recalculated charging request current to the charging pile; and the charging pile performs charging according to the recalculated charging request current. According to the direct-current charging adjustable method and the new energy source vehicle, the direct-current charging mode is adjustable; the set multiplying power is adjustable, so that the charging multiplying power is actively reduced, the charging energy value is increased, the service life of the battery is prolonged, and the endurance mileage is increased; and the problem of large voltage difference caused by long-term 2C super fast charging is reduced, and the charging energy complementing efficiency can be improved.

This application provides a power system and energy-saving method. It acquires the vehicle's operating mode, air conditioning status, and current battery level. Based on the air conditioning status, vehicle operating mode, whether the air conditioning is in energy-saving mode, and the vehicle's battery level, it adjusts either the air conditioning energy-saving mode or the vehicle's operating energy-saving mode. This links the power system's energy-saving mode with the air conditioning's energy-saving mode, enabling interaction between the two modes. This allows the previously simple energy-saving design to achieve more effective energy savings and improve driving range through complex calibration.

To provide a golf cart movement control system, a golf cart movement control method, and a program capable of moving a golf cart so as to approach a player who is highly likely to want the golf cart to come closer. An approach detection unit 104 detects the approach of a player of interest playing golf to a driving range of a golf cart used by the player of interest. In response to the detection of the approach, a movement control unit 116 moves the stopped golf cart so as to approach the player of interest.

The present application relates to the field of golf driving range automation devices, and provides a golf course terrain simulation platform. The golf course terrain simulation platform comprises turf, a fixed platform arranged beneath the turf, and a bellows cover arranged on the side surfaces of the fixed platform. Each of lifting / lowering modules fixedly mounted on the fixed platform comprises a top plate, a top plate rail member mounted under the top plate and used for guiding the lifting / lowering of the top plate, a bottom plate mounted on the fixed platform, a motor rail member fixedly mounted on the bottom plate and used for driving the lifting / lowering of the top plate, and a scissor arm member connecting the top plate rail member and the motor rail member. According to the present application, an electric linear actuator of the motor rail member pushes and pulls a bottom sliding block, to drive scissor arms to do an opening / closing movement, thus driving the top plate of the lifting / lowering module to move up and down, so that the turf forms undulating slopes due to height differences between adjacent lifting / lowering modules, simulating a real terrain of a golf course and enabling a user to experience a more authentic golf course environment.

The present invention provides a method, device, and electronic device for calculating driving range. In this method, the current driving state of a vehicle is taken into account when calculating the first and second average power consumptions, so that the calculated first and second average power consumptions are more consistent with the current driving state of the vehicle and have higher accuracy. Furthermore, when calculating the current comprehensive power consumption, the present invention takes into account the vehicle's long-term and short-term driving energy consumption, avoiding the problem of inaccurate energy consumption calculation caused by situations such as large changes in the vehicle's short-term driving state but small changes in the long-term driving state, or large changes in the long-term driving state but small changes in the short-term driving state. This makes the calculated energy consumption more accurate, and the electric vehicle's driving range calculated based on this energy consumption is more accurate.

The present application relates to a method and device for improving the low-temperature driving range of an electric vehicle, and relates to the technical field of the endurance of electric vehicles. The method includes the following steps: when the vehicle is in a driving state, obtain the battery power and the average battery temperature; based on the battery power and the average battery temperature, the heat pump system reduces the heating energy consumption by means of battery heat recovery or air heat absorption. The present application obtains the battery power and the average battery temperature, and adopts the battery heat recovery method or the air heat absorption method for heating according to the data situation, so as to reduce the heating energy consumption of the vehicle and reduce the battery power consumption, thereby realizing the improvement of the low-temperature driving range.

The present system provides a sensor for determining and communicating wind speed and direction at a golf hole or golf driving range or any place golf is played or practiced, an indoor or outdoor location. In an embodiment, an anemometer is positioned on or near a flagstick and wirelessly transmits wind data to a receiving device accessible by a golfer. The apparatus may be configured as an attachment or integrated flagstick assembly, powered by a battery, solar charging, or both. In some embodiments, the apparatus incorporates position-determining technology to provide accurate location data of the wind device, and may further collect pace-of-play information. Data may be displayed on course-mounted units, golf cart mounted displays, on pull cart displays, handheld devices, or wearable devices, and can include real-time wind, flagstick position, and distance information.

The invention relates to the technical field of commercial vehicle battery thermal management, and particularly discloses a commercial vehicle battery temperature control system, a housing is internally provided with an accommodating cavity, a support frame is arranged in the accommodating cavity, the support frame comprises a plurality of bearing units arranged along the vertical direction, each bearing unit is used for accommodating a battery pack, and the battery pack is arranged in the accommodating cavity. The plurality of heat conduction assemblies and the plurality of bearing units are arranged in one-to-one correspondence, each heat conduction assembly comprises a plurality of heat conduction pipes, the plurality of heat conduction pipes are arranged at intervals and supported on the bearing units, the outer side of the battery pack is coated with a first heat preservation layer, and the plurality of heat conduction pipes are arranged between the first heat preservation layer and the bottom of the battery pack; vent holes communicated with outside air are formed in the two ends, in the length direction of the heat conduction pipe, of the heat conduction pipe, and blanking caps are detachably arranged at the vent holes. The temperature of the battery pack can be regulated and controlled in real time according to the environment temperature and the state of the battery pack, it is ensured that the battery pack is always in the optimal working temperature range, the performance of the battery pack is improved, the endurance mileage is prolonged, and the safety and reliability of a vehicle are ensured.

The invention provides a thermal management system, a battery heating method and device, electronic equipment and a storage medium, and relates to the technical field of vehicles. When a battery needs to be heated, a target heat source capable of providing heating heat is selected from a plurality of candidate heat sources of the thermal management system; and through the heat pump circulation of the refrigerant loop and the heat exchanger arranged on the cooling liquid side, heat on the refrigerant side or heat recovered from the cooling liquid side is transferred to the battery water pump branch to heat the battery. The heat transfer of the target heat source is realized by utilizing the target heating loop determined based on the target heat source, so that the heat in different branches / loops in the heat management system is recycled while the battery heating requirement is met, the battery heating energy consumption is reduced, and the low-temperature cruising ability of the vehicle is guaranteed.

This invention relates to a data-driven method for estimating the driving range of new energy vehicles, belonging to the field of battery technology. The method includes: collecting operational data of new energy vehicles of corresponding models to establish a new energy vehicle operational database; establishing an estimation model based on charging data and data augmentation technology; calculating the vehicle's current available total capacity based on the estimation results and the ampere integral method; extracting charging and driving feature sets correlated with the driving range from the driving range estimation feature set based on the Pearson correlation coefficient index; constructing a driving range estimation model based on XGBoost based on the selected charging and driving feature sets; and estimating the driving range using the driving range estimation model. This invention utilizes historical vehicle operating data to calculate the current available total battery energy, effectively considering the impact of battery aging on driving range, extracting features from battery status and driving behavior, and comprehensively reflecting the actual operating conditions of the vehicle.

This invention belongs to the field of electric vehicle technology, and particularly relates to a method, system, device, and storage medium for predicting the remaining driving range of a vehicle. It aims to solve the technical problem in existing technologies that fail to consider the impact of battery aging on the battery's usable capacity, potentially leading to decreased calculation accuracy and affecting user experience. The method includes: acquiring operating parameter data of the electric vehicle; preprocessing the operating parameter data to obtain preprocessed data; calculating the energy consumption of the electric vehicle during discharge based on the preprocessed data to obtain a discharge energy consumption value; calculating the charging capacity during charging based on the preprocessed data, and calculating the current state of equilibrium (SOH) of the battery based on the capacity value; and calculating a predicted value for the remaining driving range of the vehicle based on the discharge energy consumption value and the SOH value to obtain a prediction result.

The present invention discloses a method for determining the driving range of a vehicle, a vehicle, and a storage medium. Among them, the method includes: obtaining a plurality of energy consumption values within a target driving distance before the current moment of the vehicle, where different ones of the energy consumption values are the vehicle energy consumption values corresponding to different sub-distances within the target driving distance; determining a weight value corresponding to each of the sub-distances; determining a reference energy consumption value per unit mileage of the vehicle according to the plurality of energy consumption values and the weight values corresponding to the sub-distances; and determining a first target driving range of the vehicle according to the reference energy consumption value. The present invention aims to improve the accuracy of the determined driving range of the vehicle so as to improve the driving experience of the vehicle.

The application provides a perception system optimization method for an open-pit mine vehicle, and relates to the technical field of perception system optimization, and comprises the following steps: based on a perception system arranged on an open-pit mine vehicle, real-time perception capturing is performed on the surrounding information in the driving range of the same open-pit mine vehicle; based on the real-time perception capturing result, a surrounding perception scene of the same open-pit mine vehicle is constructed; the surrounding perception scene is matched with a preset database to determine a scene itself matching object under the capturing boundary of the surrounding perception scene; the scene itself matching object is evaluated, if the evaluation result meets a standard evaluation condition, it is determined that the perception system does not need to be optimized; otherwise, a to-be-optimized item of the perception system is determined and optimization is performed. Through accurate evaluation of the scene matching link of the perception system, the deficiency of the perception system is accurately found, so that the optimized perception system is improved, and the normal work of the open-pit mine vehicle is ensured.

To solve a problem of smaller battery capacity that is the biggest challenge to a widespread use of electric vehicles as a measure against global warming, resulting reduction in driving range, lack of charging points to ensure sufficient driving range, and complicated charging, to promote a spread of electric vehicles.SOLUTION: A vehicle travels from a starting point to a destination by making maximum use of a battery charge power stored in a normal charging device installed in a home parking lot, etc. However, if there is insufficient battery charge power to travel from the starting point to the destination, the insufficient power is covered by energy-saving driving of the vehicle, and if there is still a shortage, the vehicle continues to travel by recharging a minimum amount of power at optimal charging spots along a travel route.SELECTED DRAWING: Figure 1

The present invention relates to the field of data processing, and particularly to an energy efficiency optimization method for a heat pump type thermal management system. The present invention collects state parameters such as ambient temperature, target temperature, actual temperature, high and low pressure side pressures, and compressor power, and makes control decisions based on a Deep Q-Network (DQN) model to adjust the compressor speed. The core lies in the adoption of an adaptive discount factor, which is dynamically adjusted according to a system state index calculated by combining the absolute value of the current thermal state deviation and the cycle pressure ratio. Through this mechanism, the DQN of the present invention can dynamically adjust the strategy focus according to the degree of system deviation from the target and the operating intensity, effectively balancing the multiple and dynamically changing requirements of electric vehicles for occupant comfort, battery health, and driving range (energy efficiency), and improving the comprehensive performance.

Provided are a method and apparatus for estimating a driving range. The method for estimating a driving range according to the present invention comprises the steps of: obtaining battery information, ambient temperature information, and driving pattern information of an electric vehicle; determining available energy information corresponding to a reference SOC range of a battery of the electric vehicle on the basis of the battery information, the ambient temperature information, and the driving pattern information; and determining driving range information of the electric vehicle on the basis of the available energy information and the driving pattern information.

This application relates to an energy storage heat pump air conditioning system and its control method, electronic equipment, and storage medium, comprising: a heat pump air conditioning system; an energy storage device connected to the heat pump air conditioning system, wherein when the actual load of the heat pump air conditioning system reaches a preset energy storage condition, coolant flows through the energy storage device to heat or cool the energy storage material in the energy storage device until the corresponding phase change temperature point is reached, thereby playing an energy storage role; when the electric vehicle is under preset extreme operating conditions, the energy storage device also uses coolant to provide the heat energy stored in the energy storage device to the vehicle's needs; a temperature sensor for collecting the actual temperature of the energy storage material; and a control switch for controlling the flow of coolant between the energy storage device and the heat pump air conditioning system, thereby not only reducing the fluctuation of the temperature level inside the vehicle and improving the user experience, but also reducing battery power consumption, lowering energy consumption, and extending the driving range.

The invention discloses a control method and system for increasing the low-temperature driving range of a vehicle and the vehicle, and the method comprises the steps: in a low-temperature environment, when the SOC of a power battery reaches a preset heating initial SOC, taking a preset temperature as a heating target temperature to heat the power battery, and controlling an air blower to operate at a preset gear. Wherein the preset heating starting SOC, the preset temperature and the preset gear are parameters which are obtained through calibration and correspond to the maximum vehicle driving range in the low-temperature environment. During calibration, alpha sample data are obtained through simulation; training, testing and verifying the alpha sample data to obtain a neural network model; then different three-parameter combinations are traversed through gridding and substituted into the neural network model, and the corresponding vehicle driving mileage under the standard working condition is predicted; and finally, a three-parameter combination corresponding to the maximum vehicle driving range is screened out to serve as a parameter in a heating control strategy. The driving range of the vehicle can be effectively prolonged.