42 results about "Range anxiety" patented technology

A robust range prediction system is presented that uses a range prediction model trained on data relating to the energy usage of an electric vehicle (EV) to estimate the range of the vehicle during operation. The range prediction model may require a greater number of inputs than may be considered by an OEM range estimator provided by the EV. The predicted mileage generated by the mileage prediction system may then be compared to an estimated mileage of the OEM mileage estimator, and / or combined into an integrated display to provide confirmation to a driver of the estimated mileage, which may reduce mileage anxiety of the driver. In addition, the proposed range prediction system may generate recommendations for how to maximize (e.g., maintain or increase) the predicted range by adjusting the operation of the vehicle or coordinating the operation of the vehicle with other vehicles, traffic signals, etc.

The application discloses an electric vehicle charging pile integrated with wideband impedance measurement, and aims at the problem that the internal state information of a battery cannot be effectively obtained in the charging process of a traditional charging pile. The application discloses an electric vehicle charging pile integrated with wideband impedance measurement, and aims at the problem that the internal state information of a battery cannot be effectively obtained in the charging process of a traditional charging pile. The application discloses an electric vehicle charging pile integrated with wideband impedance measurement, and aims at the problem that the internal state information of a battery cannot be effectively obtained in the charging process of a traditional charging pile. The application discloses an electric vehicle charging pile integrated with wideband impedance measurement, and aims at the problem that the internal state information of a battery cannot be effectively obtained in the charging process of a traditional charging pile. The application discloses an electric vehicle charging pile integrated with wideband impedance measurement, and aims at the problem that the internal state information of a battery cannot be effectively obtained in the charging process of a traditional charging pile. The application discloses an electric vehicle charging pile integrated with wideband impedance measurement, and aims at the problem that the internal state information of a battery cannot be effectively obtained in the charging process of a traditional charging pile. The application discloses an electric vehicle charging pile integrated with wideband impedance measurement, and aims at the problem that the internal state information of a battery cannot be effectively obtained in the charging process of a traditional charging pile. The application discloses an electric vehicle charging pile integrated with wideband impedance measurement, and aims

The present application relates to the technical field of automobile energy supplement, in particular to a charging energy supplement method and system in automobile travel, the charging energy supplement method in automobile travel comprises obtaining travel information of a vehicle; searching for charging stations in a surrounding area of a route in the travel information, screening the searched charging stations to eliminate stations not meeting predetermined conditions, to obtain candidate charging stations; scoring the candidate charging stations and selecting at least one target charging station; adding the target charging station as a navigation passing point to update the route and guide the vehicle to charge. The present application can solve the problem of charging range anxiety.

The invention belongs to the technical field of vehicle control, and particularly relates to a vehicle energy-saving navigation method and system based on historical behavior learning, and the method comprises the steps: obtaining the travel data of a target vehicle in a historical time period, generating a historical path sequence composed of standard road segment identifiers through map matching, mining a high-frequency passing path of the target vehicle, and obtaining the high-frequency passing path of the target vehicle; according to the speed sequence, track points meeting a preset low-speed condition are identified, and the track points are clustered and verified as intersection waiting points; for each intersection waiting point, establishing a time-dependent waiting probability model according to historical passing records of the intersection waiting point under different time slices; when the target vehicle runs in real time and is matched with a certain high-frequency passing path, inquiring a waiting probability model of a waiting point of a next intersection in front according to the current position, the current time and the vehicle speed; and according to the queried waiting probability value, generating and outputting a hierarchical driving guide instruction to a vehicle end human-computer interaction interface. And a personalized intersection passing memory bank is established for vehicle owners, so that the mileage anxiety is relieved.

The invention provides a range extender control method and device, and the method comprises the steps: obtaining a target user intention and vehicle state data, verifying the feasibility of the target user intention based on the vehicle state data, determining a range extender control strategy according to the vehicle state data and the target user intention if the target user intention is feasible, and carrying out the control of a range extender. In this way, a user can be supported to actively participate in control of the range extender, endurance anxiety caused by passive waiting for regulation and control due to the fact that the control logic of the range extender is not clear is avoided, due to the tendency description that the user actively carries out control of the range extender, a certain expectation can be achieved for a possible control strategy, and the user experience is improved. And the discomfort of a user caused by sudden starting or power attenuation of the range extender is reduced.

The utility model discloses a distributed driving system and a vehicle. The distributed driving system comprises an engine, a driving device and a controller, the synchronizing mechanism and the engine can be in a power coupling state or a power disconnection state; the first driving module comprises a first motor and a first speed reducing mechanism, and the power input end of the first speed reducing mechanism is in transmission connection with the first power output end of the synchronizing mechanism and the power output end of the first motor; the second driving module comprises a second motor and a second speed reducing mechanism, and the power input end of the second speed reducing mechanism is in transmission connection with the second power output end of the synchronizing mechanism and the power output end of the second motor; and the coupling and disconnecting mechanism is used for realizing power connection or disconnecting power connection between the first driving module and the second driving module. Compared with the prior art, the engine is integrated in the distributed driving system, so that the endurance mileage is increased, and the mileage anxiety is reduced.

A kind of modular charging battery and battery cell for electric vehicle belong to electric vehicle field.It includes battery body, which is provided with foldable pull structure;Positioning hole structure is arranged above the battery body;Positioning pin structure is arranged below the battery body;The battery body is also provided with power interface and the chip interface of the chip and / or RFID tag with unique identity and charge-discharge times record function.The present application can realize real-time monitoring of battery capacity, charge-discharge times and other functions by cooperating with the identification chip and the matching intelligent electric vehicle, electric vehicle modular battery intelligent charging device and electric vehicle battery modular management system, completely separate battery charging and use scene, quickly complete battery replacement and cost settlement, effectively track the whole life cycle of battery, realize faster and cheaper user experience than refueling, and solve the range anxiety.

The utility model belongs to the technical field of electric two-wheeled vehicle charging, and particularly relates to an electric two-wheeled vehicle charging reminding system which comprises a vehicle control subsystem, a cloud platform and a station control subsystem. The vehicle control subsystem and the station control subsystem are in communication connection with the cloud platform. The vehicle control subsystem is arranged on an electric two-wheeled vehicle, and the station control subsystem is arranged at a charging station; according to the utility model, the vehicle control subsystem monitors the battery electric quantity and the vehicle position in real time, and the station control subsystem monitors the available battery quantity data and available charging pile quantity data of the battery changing cabinet in the battery changing station, and the position data of the battery changing station; the cloud platform obtains the position of a battery replacing station which has an available battery or an available charging pile and is closest to the two-wheeled electric vehicle and feeds back the position to a user, so that the user is reminded of charging in time and the position of the available charging station is provided. According to the utility model, the time and process for searching the charging station by the user can be shortened, and the travel mileage anxiety of the user is reduced.

The application discloses an orderly charging control method for an electric vehicle charging station, comprising the following steps: data acquisition; constructing a double-layer Stackelberg game framework of an upper-layer aggregator and a lower-layer individual user; constructing a user bounded rationality behavior model coupled with a prospect theory, a range anxiety and individual heterogeneity; solving by using a customized SAC algorithm to generate a charging and discharging incentive price and a power instruction; executing feedback and dynamic adjustment; and realizing closed-loop regulation and control of data set updating and model iterative solving through a deviation threshold determination. The application is suitable for power spot market fluctuation environment, has strong algorithm robustness and accurate scheduling, and can improve the operation efficiency of the charging station and the power grid friendliness.

The application provides a charging station intelligent selection method based on road conditions, an electronic device and a storage medium, and the method comprises the following steps: acquiring a current navigation route of a vehicle, wherein the current navigation route is composed of multiple road segments; acquiring road segment energy consumption of each road segment in the multiple road segments; based on current energy of the vehicle and the road segment energy consumption of each road segment, obtaining first node residual power after each road segment is driven to an end; and based on the first node residual power, searching and determining a charging station to be pushed to a user, and the application can improve the prediction accuracy of the charging station to be pushed to the user and reduce the mileage anxiety of the user by dividing the current navigation route into multiple road segments and pushing the charging station to the user based on the residual power after each road segment is driven to an end.

The invention discloses a photovoltaic energy storage and charging integrated cooperative control system for an electric vehicle. The system comprises a photovoltaic energy storage cooperative unit, a bidirectional high-voltage connection unit, a vehicle connection unit and a cooperative control unit. The photovoltaic array and the energy storage battery pack are integrated to form a direct-current energy port, and an alternating-current energy bus is constructed through a bidirectional energy conversion device, so that clean energy storage and conversion are realized; the two-way high-voltage connection units are interconnected through an alternating-current bus to realize pluggable two-way electric energy transmission with a vehicle high-voltage loop; the vehicle connection unit is used as a vehicle-mounted special interface to complete vehicle state acquisition and high-voltage safety access; the cooperative control unit integrates a photovoltaic priority scheduling module and an energy recovery control module, executes a clean energy priority supply strategy, dynamically adjusts the energy flow direction, and automatically recovers vehicle feedback energy under the braking working condition. According to the invention, non-impact energy complementation in parking and driving dual scenes is realized, multi-redundancy safety protection is provided, overall modularization is extensible, the utilization rate of clean energy is effectively improved, the problems of endurance anxiety and high-voltage energy complementation safety of the electric vehicle are solved, and the system is suitable for various electric vehicle mobile charging, photovoltaic range extension and emergency energy storage scenes.

This invention discloses a vehicle intelligent pre-start method based on user driving habits and environmental information. This invention relates to the field of vehicle self-starting technology and solves the problem of starting too early or too late due to insufficient integration with user driving habits, resulting in energy waste or user waiting. This invention determines the maximum energy consumption data through historical route data, calculates available energy consumption by combining it with the vehicle's remaining comprehensive energy consumption, and then verifies and starts the items to be implemented step by step according to the order of the items to be implemented and the energy consumption used, ensuring that the energy consumption during pre-start does not exceed the available energy consumption. This effectively solves problems such as range anxiety for pure electric vehicles and ineffective fuel consumption in gasoline vehicles. Through the design of "prohibiting starting when available energy consumption ≤ 0" and "stopping starting when cumulative energy consumption exceeds the limit," it avoids vehicle starting failures or subsequent energy shortages due to insufficient energy consumption, balancing the comfort of pre-start and the reliability of vehicle operation, and achieving the goal of "starting on demand, energy saving and high efficiency."

The invention provides a mileage prediction method and device of a vehicle, equipment and a medium. The method comprises the steps that basic feature data of a target travel of a vehicle are acquired, and the basic feature data comprise at least one of the environment temperature, the vehicle mass and the travel average gradient; according to a pre-obtained mapping relation and the basic characteristic data, the stroke prediction energy consumption rate of the target stroke is obtained, and the mapping relation is used for representing the influence of at least one of the temperature, the quality and the stroke gradient on the energy consumption change; and obtaining a mileage prediction value according to the travel prediction energy consumption rate. The method is used for achieving the effects of improving the mileage prediction accuracy, relieving the psychology of mileage anxiety of the driver and improving the management efficiency of a motorcade.

The invention belongs to the technical field of vehicle charging, and particularly relates to an electricity / hydrogen charging station optimal configuration method and system based on user behavior characteristics. The electricity / hydrogen charging station system model comprises a wind power generation system, a photovoltaic power generation system, an electric hydrogen production system, a hydrogen storage system, a fuel cell system, an electric energy charging device, a hydrogen filling device and a connecting interface connected with a public power grid; according to the method, a starting point-ending point matrix, three-parameter Weibull distribution, generalized extreme value distribution and a Dijkstra algorithm are utilized to comprehensively and accurately describe the space-time behavior rule of the new energy automobile user from the dimensions of travel flow, departure time, parking time, shortest path, driving time and the like; besides, mileage anxiety caused by the driving distance, and cost difference and random error items caused by the charging price and the energy complementing quantity are comprehensively considered, so that the actual decision-making psychology of the driver is better fitted, and the comprehensive decision-making value of each candidate charging station can be accurately output.

This application discloses a plug-in forklift and its control method, relating to the field of material handling technology. The forklift includes a vehicle body, cable assembly, power battery, battery management system, multi-function controller, drive motor, hydraulic motor, gearbox, drive axle, hydraulic pump, and low-voltage power supply device. This plug-in forklift and its control method uses the multi-function controller as the core control unit, achieving diverse operational needs through dual power source switching. When operating in a fixed area, a plug-in mode can be used, directly powered by the external power grid, eliminating reliance on the power battery for extended operation. This allows for long-term continuous operation, completely resolving the range anxiety of traditional pure electric forklifts and significantly improving operational efficiency, especially suitable for high-intensity continuous operation scenarios such as manufacturing workshops. If there is no external power grid interface in the storage area or if the forklift needs to be moved temporarily, pure electric operation can be performed, with the operation process consistent with conventional pure electric forklifts, meeting flexible operational needs.

The invention discloses a vehicle remaining mileage prediction method and device based on a travel planning route, equipment and a storage medium, and relates to the technical field of new energy automobiles, and the method comprises the steps: obtaining vehicle historical driving information, vehicle real-time driving information and navigation travel planning route information; resolving the correlation coefficient matrix between the corresponding features based on the historical driving information of the vehicle, and determining feature parameter information; segmenting and filling time sequence features corresponding to the historical driving information of the vehicle based on the navigation travel planning route information, and determining time sequence feature information; and inputting the vehicle real-time driving information, the characteristic parameter information and the time sequence characteristic information into a predefined time sequence prediction model to predict the corresponding remaining mileage so as to obtain vehicle remaining mileage information. According to the method, the correlation coefficient matrix is solved, and the corresponding time sequence characteristics are segmented and filled, so that the residual mileage is predicted by using the time sequence prediction model, the mileage anxiety is effectively relieved, and a travel scheme is reasonably planned.

This disclosure provides a method and apparatus for calculating the remaining range of an electric vehicle. The method includes: calculating the vehicle's driving energy consumption (EgyCnsDrv); calculating the actual remaining range (RngDrvIni); obtaining a reference range energy consumption (EgyCnsRef); calculating the reference remaining range (RngDrvRef); taking the larger of the actual remaining range (RngDrvIni) and the reference remaining range (RngDrvRef) to obtain the original value of the remaining range (RngDrvRaw); and correcting the original value of the remaining range (RngDrvRaw) to obtain the final value of the remaining range (RngDrvDisp). The electric vehicle remaining range calculation method and apparatus provided in this disclosure, through the calculation of the reference range energy consumption and the reference remaining range, and the correction of the original value of the remaining range to obtain the final value of the remaining range, enables the display of the nominal range when fully charged, solving the problem of discrepancies between the displayed remaining range and the nominal range due to different driving habits and operating conditions. Simultaneously, it can display an accurate remaining range when the battery is low, reducing driver range anxiety and providing better guidance for users' travel and charging arrangements.

The invention relates to a fixed master-slave parallel boost fast charging system for a high-speed motor. The system comprises a first battery unit and a second battery unit which are connected in parallel. The first battery unit comprises a first battery module, a parallel positive control unit, a parallel positive control relay, a parallel negative control unit and a parallel negative control relay, and the second battery unit comprises a second battery module; the parallel positive control relay is respectively connected with the parallel positive control unit, the positive electrode of the first battery module and the positive electrode of the second battery module; and the parallel negative control relay is respectively connected with the parallel negative control unit, the negative electrode of the first battery module and the negative electrode of the second battery module. According to the system, a parallel connection mode is adopted, the problem of equipment idling caused by too long charging time is solved through a boosting mode, the charging time can be greatly shortened, the use efficiency of the equipment is effectively improved, the endurance anxiety is effectively relieved, and the reliability of the battery system can be integrally improved.

A robust range prediction system is proposed that estimates the range of an electric vehicle (EV) during operation, using a range prediction model trained on data relevant to the energy usage of the vehicle. The range prediction model may take a greater number of inputs than may be considered by an OEM range estimator provided with the EV. The predicted range generated by the range prediction system may then be compared with the estimated range of the OEM range estimator, and / or combined into an integrated display to provide the driver with a confirmation of the estimated range, which may decrease a range anxiety of the driver. Additionally, the proposed range prediction system may generate recommendations for how to maximize (e.g., maintain or increase) the predicted range by adjusting the operation of the vehicle or coordinating operation of the vehicle with other vehicles, traffic signals, etc.

The application discloses a vehicle quick battery replacement system and a battery replacement operation method for long-distance trunk transportation, and the method comprises the following steps: determining a long-distance transportation path and a long-distance transportation road condition, obtaining distribution information and service information of a battery replacement station arranged along the long-distance transportation path, determining a corresponding motor driving strategy according to vehicle model information of the vehicle, determining a long-distance driving estimated value of the vehicle according to the motor driving strategy, the long-distance transportation path and the long-distance transportation road condition, determining a current residual driving value of the vehicle through battery information, judging whether the current residual driving value and the long-distance driving estimated value meet a battery replacement scheme planning condition, if yes, generating at least one battery replacement scheme according to the distribution information and the service information of the battery replacement station and the battery information, and pushing the battery replacement scheme to the vehicle. Through the method, the range anxiety of the user for the vehicle in the long-distance transportation scene is relieved, the operation efficiency of the battery replacement station is improved, and the transportation cost is reduced.

The invention relates to the technical field of automobiles, and discloses a vehicle energy consumption prediction method and system and vehicle equipment. The method comprises the following steps: determining environmental load power in real time based on a vehicle heat conduction parameter, a vehicle-mounted air conditioner temperature, a vehicle window parameter and an environmental parameter; obtaining user setting preference data built in the vehicle, and determining behavior load power in real time based on the user setting preference data; inputting the environment load power and the behavior load power into an energy-saving model, outputting an energy-saving strategy, and calculating energy-saving load power brought by execution of the energy-saving strategy; and based on the environment load power, the behavior load power and the energy-saving load power, the predicted energy consumption of the vehicle arriving at the destination is updated in real time. By adopting the method, energy consumption can be predicted, changes of external conditions and internal behaviors can be responded in real time, an endurance result closer to a real driving scene is output, and mileage anxiety of a user is effectively relieved.

The invention discloses an intelligent vehicle energy consumption management method and system, and relates to the technical field of intelligent vehicle energy management, and the method comprises the steps: judging whether to start an endurance guarantee mode or not according to the obtained current remaining available energy of a vehicle, the current average energy consumption of the vehicle and the current position of the vehicle; when the endurance guarantee mode is started, a plurality of road sections are divided between the current position of the vehicle and the destination, the total energy consumption budget is calculated according to the current remaining available energy of the vehicle, the maximum energy consumption allowed by each road section and the corresponding recommended vehicle speed are calculated with the condition that the total energy consumption budget is not exceeded as the constraint, and therefore the path with the lowest total energy consumption is formed; and according to the obtained path, controlling the vehicle to run at the recommended vehicle speed under the corresponding road section. The problems that in the prior art, vehicle endurance estimation is not accurate, an effective guarantee scheme is lacked in the low-energy state, and the passive energy-saving effect of a driver is poor are solved, and the mileage anxiety of the last road of a user is relieved.

The invention provides an SOC correction reminding method of an electric vehicle, electronic equipment and a storage medium. According to the method, the average power consumption of each time of standing parking of the electric vehicle in history can be determined based on the identity information of the electric vehicle. It can be understood that the average power consumption of each time of standing parking of the electric vehicle in history can represent the power consumption of the electric vehicle in the current standing process, and under the condition that the average power consumption is larger than a set electric quantity threshold value, it is indicated that the standing power consumption generated by the electric vehicle in the current standing process may be large; after the electric automobile is subsequently started and runs for a period of time, the SOC electrode of the electric automobile possibly jumps, so that reminding information for SOC correction is sent to a user terminal associated with the identity information of the electric automobile. Therefore, the vehicle owner can be prompted to correct the SOC of the vehicle before the vehicle is started, so that the mileage anxiety of the vehicle owner caused by the jump of the SOC is avoided, and the situation that the running electric vehicle breaks down is avoided.

The invention discloses a double-battery charging and discharging electric vehicle and a charging and discharging management system thereof, and relates to the technical field of electric vehicles and battery management. The electric vehicle comprises double storage batteries, a driving motor, a charging generator, a transmission connecting device, a switch assembly, an external charging assembly, a wheel assembly and a charging and discharging management system. The transmission connecting device is connected with the motor and the generator, the front wheel is a driving wheel, and the rear wheel is a follower wheel. During working, one battery discharges to drive the vehicle to run and simultaneously drives the generator to dynamically charge the other battery, and when the SOC of the discharged battery is less than or equal to 20% or the temperature is greater than or equal to 45 DEG C, the system realizes seamless switching less than or equal to 0.5 second. The charging and discharging management system collects the state of the battery per second, dynamically adjusts power, and has multiple protection functions of overcharging, overdischarging, over-temperature and over-current. External charging supports single-charging main use, single-charging standby and double-charging modes, and the communication module feeds back the battery state and fault information. The method improves the endurance of the electric vehicle, guarantees the continuous and safe driving, prolongs the service life of the battery, improves the convenience, and solves the problems of anxiety in endurance, extensive charging and discharging management and the like in the prior art.

This invention relates to the field of energy-saving planning technology, and more particularly to an energy-saving planning method for multi-segment driving of electric vehicles based on signal-sequential logic. The method includes the following steps: acquiring global topology information and dynamic traffic information of the target driving path; constructing a multi-layer weighted spatiotemporal graph model based on the global topology information and dynamic traffic information; collecting corresponding state information in real time, and constructing a fused mechanical-electrical-thermal coupled dynamics vehicle prediction model based on the multi-layer weighted spatiotemporal graph model and the real-time collected state information to predict the future vehicle state trajectory under different driving strategies; formalizing it into a temporal logic proposition within the signal-sequential logic framework and embedding it into a finite-time domain model predictive control problem; and generating a corresponding collaborative optimization sequence by solving the finite-time domain model predictive control problem with embedded temporal logic constraints, thereby achieving integrated energy-saving planning for driving, energy, and heat. This invention can significantly alleviate range anxiety in electric vehicles.

The invention relates to the technical field of electric two-wheeled vehicles, and particularly provides a two-wheeled vehicle instrument display control method and system for realizing energy consumption optimization. According to the basic principle of the method, communication connection between the mobile terminal and the two-wheel vehicle is established, the vehicle state and context information are obtained through information exchange, the mobile terminal conducts intelligent analysis and decides the optimal display mode, and then a display control instruction is sent to a vehicle instrument. According to the scheme, three-level dynamic switching of an intelligent mode, an energy-saving mode and a super energy-saving mode is realized through multi-source information fusion, and the emergency processing capability of battery safety risk prediction and key function remapping under extreme conditions is realized. The most core technical effect is that on the premise of not increasing the vehicle hardware cost, the obvious optimization of the instrument display energy consumption and the comprehensive improvement of the riding safety are synchronously realized, and the contradiction between the endurance anxiety and the safety risk is effectively solved.

This invention belongs to the field of intelligent vehicle technology and relates to a multi-source collaborative thermal management system and method for electric commercial vehicles. Through the integration of multiple heat source modules, thermal management load modules, and heat exchange modules, under the unified scheduling of a controller, it compares the available net solar power with the dynamically calculated thermal management power demand in real time, and selects a target heat source for heating based on the comparison results. It aims to solve the problems of sharply reduced range in electric commercial vehicles due to excessive power consumption for heating in winter, low energy efficiency caused by the lack of coordination among isolated heat sources, and poor system automation capabilities due to the lack of intelligent scheduling; it increases solar and fuel heating to alleviate range anxiety caused by battery PTC in winter; it improves energy efficiency and reduces costs through multi-source intelligent coordination and on-demand heat distribution; and it achieves reliable all-weather operation and intelligent management of the system through an automatic operation mode covering all operating conditions, improving vehicle cold-weather adaptability and user experience.

This application provides a method, device, vehicle, computer-readable storage medium, and computer program product for energy consumption management of new energy vehicles. The method includes: when the vehicle's remaining energy decreases by a preset range, comparing the vehicle's remaining driving range with the predicted remaining driving range; when the vehicle's remaining driving range is less than the predicted remaining driving range, providing prompts for multiple energy consumption optimization schemes; in response to a selection operation for multiple energy consumption optimization schemes, performing energy consumption optimization processing on a target load according to the selected energy consumption optimization scheme; wherein, the target load represents the load targeted by the selected energy consumption optimization scheme; calculating the first energy consumption of the target load, and when the first energy consumption of the target load does not meet the energy consumption optimization requirements of the selected energy consumption optimization scheme, performing energy consumption optimization processing on the target load again according to the selected energy consumption optimization scheme. This application enables timely energy consumption management and effectively alleviates range anxiety for vehicle owners.

The application provides a charging map data testing method, device and electronic equipment. The charging map data testing method comprises: obtaining environment information and driving information of a vehicle; obtaining first station data and second station data, the first station data being stored in a first storage medium, the first station data being original data of a station corresponding to a charging map, the second station data being synchronized from the first storage medium to a second storage medium, and the second station data being used for path planning of the vehicle; comparing the first station data and the second station data; and adjusting the second station data according to the first station data in the case that the first station data and the second station data are inconsistent. The application can improve the reliability of the charging map data, provide a charging map with guaranteed quality, enable an electric vehicle owner to find a reliable charging station in time and effectively, and solve the range anxiety of the electric vehicle owner during a long trip.

The application provides a range extender control method and device. The method obtains target user intention and vehicle state data, verifies the feasibility of the target user intention based on the vehicle state data, determines a range extender control strategy according to the vehicle state data and the target user intention if the target user intention is feasible, and controls the range extender. In this way, the user can actively participate in the control of the range extender, thereby avoiding the range anxiety caused by passive waiting for regulation and control due to the unknown control logic of the range extender. Since the user actively performs the tendency description of the range extender control, there is a certain expectation for the possible control strategy, thereby reducing the discomfort of the user caused by the sudden start or power attenuation of the range extender.