27 results about "Driving range" patented technology

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 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.

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 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 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 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.

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.

The application discloses a kind of driving range analysis and prompting method, device and vehicle.The same second vehicle as the same driving area and the same model of first vehicle is determined;Determine the first actual driving range based on the first driving data corresponding to the first vehicle;Determine the second actual driving range based on the second driving data corresponding to each second vehicle, arrange the second actual driving range, and determine the actual driving range set;Determine the target driving range state corresponding to the first vehicle based on the first actual driving range and the actual driving range set;Determine the target driving range prompt information corresponding to the first vehicle based on the target driving range state and the pre-established corresponding relationship, and display the target driving range prompt information on the first vehicle, solve the technical problem that actual driving range level state is not clear, clearly and clearly show the actual driving range level shown by the current vehicle compared with the same model in the same driving area, improve the user experience.

This application relates to a charging device and an electric vehicle. The charging device includes: a power plug for obtaining alternating current (AC); a controller including a rectifier module that converts AC to direct current (DC), with the input terminal of the rectifier module connected to the power plug; and a charging gun connected to the output terminal of the rectifier module to deliver the converted DC to the electric vehicle. The controller further includes: a metering module connected to the rectifier module to measure the amount of electricity stored in the rectifier module; a control module connected to the rectifier module to control the power conversion process, and connected to the metering module to obtain the amount of electricity stored; and a display module connected to the output terminal of the control module to display the amount of electricity stored and / or the remaining driving range. This application can provide real-time feedback on the charging status to the user, improving charging transparency and user convenience.

To provide an electric vehicle that can efficiently raise the temperature of the energy storage device during driving prior to charging, while maintaining a sufficient driving range. [Solution] An electric vehicle is provided, comprising a power storage device for storing electricity for driving and a heater for heating the power storage device using the power of the power storage device, wherein the controller for controlling the heating of the power storage device by the heater includes a selection unit (step S1) that selects a manual heating mode that performs heating control of the power storage device based on manual operation by the passenger and an automatic heating mode that performs heating control of the power storage device based on a detection signal that detects the driving state, and a heating control unit (steps S8, 12) that prohibits heating of the power storage device by the manual heating mode when a predetermined first condition is met (step S2) (step S4), and prohibits heating of the power storage device by the automatic heating mode when a predetermined second condition different from the first condition is met (steps S6, 9).

The objective is to provide golf practice facility equipment that can efficiently supply golf balls without excess or shortage, ensuring that a sufficient number of golf balls are supplied to the tee-up devices in front of each player's hitting bay even when there are many players, and preventing golf balls from accumulating in the U-turn area when there are few players. [Solution] The front computer constantly monitors the number and percentage of players occupying multiple hitting bays, and automatically controls the amount of golf balls supplied per unit time from the golf ball supply unit to the forward transport path in the golf ball transport device according to the number of players.

This application provides an energy recovery method, electronic device, and storage medium. The energy recovery method includes: controlling the energy recovery of the target vehicle based on a first power battery energy recovery limit threshold when the target vehicle meets the conditions for energy recovery activation; and controlling the energy recovery of the target vehicle based on a second power battery energy recovery limit threshold when the target vehicle is in a safe energy recovery operating condition. The second power battery energy recovery limit threshold restricts energy recovery to a lesser extent than the first power battery energy recovery limit threshold. This application can increase recoverable energy while ensuring safety, thereby extending the vehicle's driving range.

The application discloses a heat accumulation type heat pump heat management system and a control method, and belongs to the field of automobile heat management systems. The technical scheme adopted by the application is a heat accumulation type heat pump heat management system, which comprises an air conditioner refrigerant circuit, a power battery cooling liquid circuit and a motor cooling circulation circuit. In summer, the heat of the passenger cabin or the power battery is transferred to the external environment through the outdoor condenser, and the energy transfer is low in energy consumption and high in efficiency. In winter, when charging, the power battery has the characteristics that the charging current becomes smaller as the SOC increases, and the charging power provided by the charging pile is unchanged. The electric quantity is stored in the cooling liquid, the power battery, the second auxiliary water tank and the motor in the form of heat. After charging, the heat is transferred to the passenger cabin in the form of a primary energy transfer mode and a secondary energy transfer mode, the problem of excessive use of power battery electric quantity is avoided, and the driving range of the whole vehicle is improved.

This application discloses a method, apparatus, processor, and vehicle for determining the driving range information of a vehicle battery. The method includes: acquiring the vehicle's current operating state information, the environmental state information of the vehicle's environment, and the control operation information performed by a target object on the vehicle; determining the influence coefficients of the operating state information, environmental state information, and control operation information on the battery; and predicting the battery's energy consumption information in future time periods based on the operating state information, environmental state information, and control operations, wherein the influence coefficients represent the degree to which the operating state information, environmental state information, and control operation information affect the battery's driving range performance; and determining the battery's driving range information based on the battery's remaining charge, energy consumption information, and influence coefficients at the current moment. This application solves the technical problem of low accuracy in determining the driving range information of a vehicle battery.

This invention provides a method for developing a low-temperature driving range test procedure for electric vehicles, comprising the following steps: data acquisition and processing; determining the test temperature; determining the test condition (TTC); determining the test method; calculating the weighting factor of the test results; and constructing a low-temperature test procedure for typical vehicle usage scenarios based on the typical TTC conditions, test temperature, test method, and weighted test results. The beneficial effects of this invention are: establishing a low-temperature test procedure that conforms to the usage scenarios of electric vehicles through this method expands the applicability of the scenarios and reduces the deviation of test results. Furthermore, by quantifying the degree of low-temperature driving range degradation for various vehicle types, it is of great significance for alleviating consumer range anxiety, reducing enterprise R&D and testing costs, and providing a favorable means for government supervision.

This invention discloses a method and system for predicting the driving range of electric vehicles based on a hybrid sequence model, belonging to the field of electric vehicle technology. The method involves collecting and preprocessing historical data related to vehicle operation, environment, and route; building and training a hybrid sequence prediction model that includes hierarchical feature extraction, cross-scale fusion, and multi-branch output; collecting and preprocessing real-time data of the same dimension and inputting it into the model to obtain energy consumption and driving range prediction results; and calculating a comprehensive temperature correction coefficient based on the driving environment and real-time battery temperature to correct the driving range prediction results and obtain the final result. The system includes corresponding data acquisition, preprocessing, model building, prediction, and correction units to execute this method. This invention utilizes multi-source data fusion to overcome the limitations of traditional models with long-term dependencies, and temperature correction makes the prediction results more consistent with actual operating conditions, improving prediction accuracy.

A vehicle includes an electric motor that propels the vehicle, a battery that provides power to the electric motor, one or more power outlets that supply electric power from the battery to one or more external devices, and one or more controllers that, responsive to indication that a driving range is less than a threshold, disable one of the power outlets.

Interactive route-based media may be generated using generative artificial intelligence (AI) models so that electronic games can be played by passengers in a vehicle while the driver safely navigates to a destination. Audio may still be presented to the driver in certain instances, while video of the game can be presented on passenger vehicle displays integrated into the vehicle's side windows. Large language models and other generative AI models may therefore be used to create the game content itself, with the game content being generated based on various inputs to the system like a user's desired game genre, geographic features encountered along the driving route, and even the driving range of the vehicle according to a current fuel or charge level. Each AI-generated game can be tailored to the route the vehicle is going to take, presenting interactive game content that accounts for the unique characteristics of the trip.

This application relates to the field of battery frames for new energy sweeper trucks, disclosing a novel battery frame structure for a new energy sweeper truck. The new battery frame mainly consists of a frame, protective plates, and brackets. The frame is located between the front water tank and the vehicle frame of the sweeper truck. The frame is a square frame structure with its bottom fixedly connected to the top side of the vehicle frame. A bracket for housing the new battery pack is provided inside the frame, and the bracket is fixedly connected to the frame. Protective plates are fixedly installed on both sides of the frame, and several reinforcing rods are fixedly installed on the outer side of each protective plate. Two sets of opposing first support arms are provided on one side of the bottom of the frame, and two sets of opposing second support arms are provided on the other side. In this application, the new battery frame can be arranged on the upper surface of the vehicle frame to expand the battery pack, thereby increasing the driving range.