73 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 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.

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).

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.

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 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 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.

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 provides a vehicle, an OTA upgrading method thereof and a controller, and relates to the technical field of vehicles. The method comprises the following steps: acquiring configuration information of an OTA upgrading task of a vehicle from an OTA upgrading server, wherein the configuration information comprises duration required for upgrading each ECU to be upgraded; the OTA upgrading task is divided into at least two sub-tasks, and the execution duration of each sub-task is smaller than the endurance duration of a storage battery; and sequentially executing the at least two sub-tasks to carry out OTA upgrading on the vehicle. As the execution duration of the sub-task is shorter than the endurance duration of the storage battery, the storage battery is prevented from feeding in the execution process of the sub-task, and the sub-task can be prevented from being interrupted. Therefore, on one hand, the execution reliability of the subtasks is improved, and on the other hand, the phenomenon that the subtasks need to be executed again due to interruption is reduced, the interrupted subtasks are prevented from being executed for multiple times, and the OTA upgrading efficiency is improved.

Provided is a route generation device that, when a user sets a destination, generates a route plan that takes into account the preference of the user, and that, when it is possible to avoid an ACC / CACC vehicle group or to merge with ACC / CACC vehicles, can provide a route (travel route) that can be actively followed on the basis of the preference of the user. When a user sets a destination, a travel route is generated in consideration of user preference, driving level, and an automatic driving-enabling section. When the vehicle travels in parallel with the ACC / CACC vehicle group on the own vehicle travel path, it is possible to prevent the travel path from being obstructed by the ACC / CACC vehicle group by pre-generating a travel path that avoids the ACC / CACC vehicle group. When passing through the section outside the automatic driving range from within the automatic driving range, the driving route including the section outside the automatic driving range is generated by considering the driving skill level and the driving frequency of the user, thereby making it possible to reduce the discomfort of the driver who is uncomfortable to the driving skill.

This invention proposes a rapid method and system for assessing the residual value of lithium-ion batteries in electric vehicles. The method includes: acquiring the actual mileage and driving range of the vehicle equipped with the power battery; calculating the number of assessment cycles for the power battery based on the acquired data; finding the corresponding charge / discharge capacity decay curve of the power battery at room temperature based on the calculated number of assessment cycles; and inputting the charge / discharge capacity decay and relevant basic information of the power battery into a power battery residual value assessment model to calculate the residual value of the power battery. This method is simple and fast, requires no large-scale testing equipment or harsh testing environments, and is suitable for large-scale power battery residual value assessment scenarios.

The invention discloses an electric vehicle standard working condition endurance mileage determination method and device and a storage medium. The method comprises the steps that power consumption data, driving data, electric appliance power consumption data and a battery health degree value of a test cycle of an electric vehicle under a standard working condition are obtained; screening the driving data to obtain constant-speed driving data of the electric vehicle at different vehicle speed sections; calculating a plurality of correction proportionality coefficients based on constant-speed driving data, the electric appliance power consumption data and the power consumption data; and updating a vehicle standard endurance value according to the plurality of correction proportionality coefficients and the battery health degree value to obtain the endurance mileage of the electric vehicle under the standard working condition. The constant-speed driving data of different vehicle speed sections are analyzed, so that the energy consumption condition of the electric vehicle in different driving modes can be reflected more truly, and the endurance prediction is more in line with the actual use condition.

An energy consumption acquisition unit (40) acquires an energy consumption value, which is consumed using an API (100) when an application program (20) on a vehicle accesses the API. A driving range amount acquisition unit (30) acquires a driving range amount, which indicates how far the vehicle can travel. A reduction acquisition unit (40) acquires a reduction amount of the driving range amount, which is reduced due to the energy consumption acquired by the energy consumption acquisition unit. An access determination unit (62) determines, based on the driving range amount acquired by the driving range amount acquisition unit and the reduction amount acquired by the reduction acquisition unit, whether to allow the application program to access the API.

The application relates to the technical field of virtual driving and provides a road condition exception processing method and device in a virtual driving scene and a storage medium, the method comprising the following steps: detecting whether a preset obstacle exists in the driving range of a target vehicle and visibility in real time; if the visibility is lower than a preset visibility, the target obstacle is detected to satisfy the target vehicle, a safe driving distance is calculated, and the road section distance of the target vehicle and a congestion road section is detected; temporary parking navigation guidance is generated according to the road section distance, which is used for controlling the target vehicle to safely drive to a temporary parking point, and the temporary parking navigation guidance comprises an avoidance route, and the avoidance route does not comprise the congestion road section and the obstacle within a first time length; and the target vehicle is controlled to drive to the temporary parking point according to the avoidance route according to the temporary parking navigation guidance. The scheme can effectively identify abnormal driving of the vehicle under specific weather and feedback, intelligently performs temporary parking navigation on the vehicle under specific weather, so that the vehicle can slow down and safely park in the temporary parking navigation.

The invention discloses a new energy vehicle remaining driving mileage calculation method which comprises the following steps: updating the driving mileage and the driving time of a whole vehicle once every L2 mileage or every specific T1 time, and initializing and reading the remaining driving mileage stored in an EEPROM (Electrically Erasable Programmable Read-Only Memory); calculating current driving cycle consumed electric quantity Ccyc, battery remaining electric quantity CRem and initial power consumption, average power consumption and instantaneous power consumption of the whole vehicle per hundred kilometers; the instantaneous corrected power consumption per kilometer of the automobile is obtained by combining user driving habit portrait correction, operation scene correction, lateral wind correction, environmental factor dynamic compensation correction and SOC correction; calculating the power consumption assignment and the remaining driving range RRem of the whole vehicle; according to the invention, the endurance prediction precision can be improved to be within + / -2%.

The invention provides a method, a system and equipment for predicting the endurance mileage and energy consumption ratio of a pure electric vehicle, and belongs to the technical field of electric vehicles, and the method comprises the following steps: dividing the pure electric vehicle into a plurality of target modules which influence the endurance mileage; obtaining energy consumption related parameters of each target module, performing feature engineering processing on the energy consumption related parameters to obtain energy consumption features corresponding to each target module, and taking the energy consumption features as a training sample set; training a preset endurance prediction model by using the training sample set in combination with the actual endurance mileage data and the actual energy consumption proportion data to obtain a trained target prediction model; and real-time energy consumption parameters of the pure electric vehicle in the driving process are obtained and input into the target prediction model, and the total energy consumption prediction amount, the total endurance mileage prediction amount and / or the energy consumption proportion prediction value of each target module are obtained. According to the invention, accurate prediction of the energy consumption value and the energy consumption ratio of each module of the whole vehicle is realized, and a driver can conveniently carry out energy-saving adjustment on the current driving condition.

The application relates to the technical field of intelligent management and energy consumption prediction of new energy automobile batteries, in particular to an electric vehicle driving range prediction method based on energy consumption decoupling and double-dimension scene matching, which comprises the following steps: acquiring real-time feature vectors of vehicle operation in a low-temperature domain state and preprocessing, adopting a sliding window method based on power gradient to recombine features; defining the boundary of a scene and calibrating a label based on unsupervised clustering, and determining the scene label of a real-time feature vector based on supervised classification; adopting a regression model to perform heterogeneous model prediction scheduling to obtain a predicted driving range; the application logically recombines discrete fragmented data according to power loss gradient, introduces multi-dimensional energy loss features to construct a regression prediction system, defines the boundary of a scene by adopting an unsupervised clustering algorithm, and combines a supervised real-time classification logic to solve the problem of low prediction accuracy of the driving range of an electric vehicle in a low-temperature environment in the prior art.

The application discloses a kind of range extender power control methods based on trip energy planning, comprising: the total energy required for the corresponding remaining trip of this trip is calculated;First remaining trip time, second remaining trip time are calculated based on vehicle speed and power respectively;Comprehensive remaining trip time is calculated based on first remaining trip time, second remaining trip time;Range extender target output power is calculated based on comprehensive remaining trip time and remaining energy requirement, and range extender is controlled by target output power.The application realizes the control of range extender power by comprehensively considering remaining driving range, energy consumption level and trip time, improves the rationality of vehicle energy management and energy utilization efficiency, and enhances the endurance guarantee capability of vehicle under complex working conditions.

To calculate a cruisable distance that follows a traveling state of a movable body.SOLUTION: A cruisable distance calculation device according to an aspect of the present disclosure is configured to calculate a cruisable distance of a movable body 1 including an electric motor 13 as a power source and a power storage device 11 configured to supply power to the electric motor 13. The cruisable distance calculation device includes: a residual capacity calculation unit 152 configured to calculate the residual capacity of the power storage device 11; an electricity consumption calculation unit 153 configured to calculate electricity consumption based on a travel distance of the movable body 1 and electricity consumption of the power storage device 11; a setting unit 155 configured to set, based on a state of the electric motor 13, a rate coefficient that indicates how much the electricity consumption is increased and decreased; a rate processor 156 configured to execute, by using the rate coefficient, rate processing that corrects the electricity consumption; a distance calculation unit 157 configured to calculate the cruisable distance of the movable body 1 based on the electricity consumption on which the rate processing is executed and the residual capacity of the power storage device 11; and a display control unit 158 configured to display the cruisable distance of the movable body 1 on a meter.SELECTED DRAWING: Figure 2

This invention discloses a method, system, and vehicle for controlling the driving range of an electric vehicle in an extreme energy-saving mode. The method includes setting an extreme energy-saving mode and a speed range within that mode, and limiting the functionality of electrical equipment affecting the driving range. An initial calibration value is set based on the average electricity consumption within the initial driving range. During actual vehicle operation, the actual average electricity consumption within the driving time under the control strategy is obtained, and the initial calibration value is iteratively calculated based on the actual average electricity consumption to obtain an iteratively averaged electricity consumption value. Under the corresponding control strategy, the remaining battery power of the vehicle is obtained, and the actual driving range is obtained based on the remaining battery power and the iteratively averaged electricity consumption value. This invention provides two options after the user sets the extreme energy-saving mode: one for non-high-speed driving conditions and one for high-speed driving conditions. Users can immediately see the actual driving range value under different options, helping them plan energy-saving modes to achieve controllable driving range.

This invention discloses a thermal management method and system for electric power-assisted two-wheeler motors based on the DDPG algorithm to control air cooling flow, belonging to the field of thermal management technology for electric vehicles. The method includes: initializing the system during startup, loading basic motor parameters and DDPG algorithm parameters; real-time acquisition of data such as motor temperature, ambient temperature, and load power to construct a state vector; dynamically correcting the efficiency-temperature curve; inputting the state vector into the DDPG algorithm, calculating a reward value based on the difference between energy saving and energy consumption adjustment, and temperature fluctuations; outputting the optimal target temperature through experience playback and soft updates; and having the temperature adjustment device execute actions and periodically calibrate the curve to form a closed loop. This invention, using the above method, enables the motor to always operate in the high-efficiency range with the lowest overall energy consumption, optimizing energy consumption to extend the driving range, reducing motor losses to extend service life, and exhibiting a high degree of intelligence, reducing manual intervention.

To smoothly open and close a door by more accurately detecting an obstacle and preventing the door from colliding with the obstacle when opening and closing the door of a vehicle.SOLUTION: An obstacle detection system for detecting an obstacle in the vicinity of an opening / closing body included in a moving device includes a ranging data acquisition unit that acquires ranging data by an imaging device installed such that a surface of the opening / closing body in a driving direction and at least a part of a driving range of the opening / closing body fall within a ranging data acquisition range, and a distance detection unit that detects a distance from an installation position of the ranging data acquisition unit to an end of the opening / closing body based on an output of the ranging data acquisition unit. An obstacle detection unit configured to detect an obstacle based on whether or not a distance value less than a predetermined distance exists in a driving range of the opening / closing body in the distance map, wherein SELECTED DRAWING: Figure 2

Disclosed in the present application are a method and system for increasing the driving range of a battery electric vehicle. The method comprises: acquiring the remaining capacity, estimated power consumption and estimated vehicle speed of a vehicle at the current moment, and the operating state of a switchable functional system affecting power consumption; on the basis of the estimated vehicle speed of the vehicle at the current moment and the operating state of the switchable functional system affecting power consumption, determining an optimizable operation for the vehicle at the current moment, and acquiring an optimized power consumption of each optimizable operation; on the basis of the remaining capacity and the estimated power consumption of the vehicle at the current moment and the optimized power consumption of each optimizable operation, calculating the remaining range of the vehicle at the current moment and a corresponding increase value in the remaining range of the vehicle after each optimizable operation is implemented; and, on the basis of the remaining range of the vehicle at the current moment and the corresponding increase value in the remaining range of the vehicle after each optimizable operation is implemented, implementing one or more optimizable operations, so as to increase the remaining range of the vehicle.

The present teachings include computer program products, systems, methods, and platforms for scanning a golf ball (or similar) by a user (e.g., using a smartphone while on a golf course, driving range, practice area, pro shop, or similar) to identify and assess attributes and features thereof, such as manufacturer / brand, model, condition, playability, and so on. The present teachings may also or instead provide advantages and / or disadvantages related to playing with a certain type and / or condition of golf ball or the like, and make recommendations for golf balls for a user, where such information may be customized to the particular user—e.g., via a user inputting, or the system otherwise retrieving, information related to play and / or preferences of the user, such as the user's handicap or skill level, playing style, desired distance and / or trajectory, age, weight, gender, physical fitness level and / or strength, handedness, value preference, expected durability, and so on.

The invention provides a method, a device and equipment for calculating the endurance mileage of a pure electric vehicle and a medium. The method comprises the following steps: acquiring a preset predicted aggressive degree index, a power consumption parameter after the vehicle is charged last time and the current residual electric quantity; segmenting a preset total mileage of recent driving of the vehicle to obtain a plurality of mileage segments, and calculating average power consumption corresponding to each mileage segment according to the power consumption parameters; and determining the endurance power consumption corresponding to the predicted aggressive degree index according to the average power consumption and the predicted aggressive degree index, and calculating the endurance mileage corresponding to the current residual electric quantity under the current predicted aggressive degree index according to the current residual electric quantity and the endurance power consumption. According to the scheme, the prediction style of the endurance mileage can be set by obtaining the preset prediction aggressive degree index, so that the calculation result of the endurance mileage better conforms to the driving style and character characteristics of a driver, and the calculation precision of the endurance mileage is improved.

Embodiments of the present application provide a charging control method and device, electronic equipment, storage medium and vehicle. The method comprises: acquiring navigation information, illumination information of the vehicle and state information of a low-voltage storage battery of the vehicle; determining charging capacity information provided by a solar power generation device of the vehicle according to the navigation information and the illumination information; and controlling charging capacity provided by the high-voltage power battery and / or the solar power generation device for the low-voltage storage battery according to the charging capacity information and the state information. The low-voltage storage battery is finely controlled by using the navigation information and the illumination information, solar power generation is fully utilized, excessive consumption of the high-voltage power battery is avoided, the driving range is improved, and the risk and psychological concern of the driver for low-voltage storage battery power supply are reduced.