70 results about "Range anxiety" patented technology

The application provides a highway charging load prediction method and control system based on traffic flow power. Through a second-by-second specific power model of different electric vehicle types on the highway, factors such as road slope, vehicle load, electric vehicle braking recovery characteristics, instantaneous speed and acceleration can be considered to achieve more accurate energy consumption modeling. By establishing a specific power operation mode distribution library of different vehicle types, using a shock wave model and a cellular transmission model to solve, quantifying the congestion propagation process, dynamically correcting the specific power calculation parameters, only the road section parameters and average speed are needed to calculate the energy consumption under complex road conditions. The driver's range anxiety is quantified as a dynamic variable, and charging decision rules are established for different scenarios. The charging probability is dynamically corrected based on the queue length, weather, and driver type, and an electric vehicle charging time prediction model is established based on different service area charging scenarios.

The invention relates to the technical field of hydrogen internal combustion engines, and discloses a hydrogen internal combustion engine power generation system and method based on AI control, and the system comprises the following modules: a receiving module which is used for receiving an operation instruction from a driver, and the operation instruction comprises an expressway power generation instruction and a static charging instruction; the coupling control module comprises a processor unit and an AI control unit; the processor unit is responsible for data transmission operation; the AI control unit is used for receiving the operation instruction, responding to the operation instruction and controlling operation of a vehicle-mounted generator; and the vehicle-mounted generator is connected with the coupling control module and is used for converting hydrogen energy into electric energy. The invention discloses an AI-controlled hydrogen internal combustion engine power generation system and method, and mainly solves the problems of low energy utilization efficiency, poor operation flexibility and incapability of effectively relieving mileage anxiety caused by the fact that a vehicle-mounted range extender of an existing electric vehicle is passively started only by depending on a preset charging state threshold value of a main battery and does not consider the intention of a driver and a stroke situation.

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 invention discloses a new energy pure electric vehicle high-speed battery replacement control method, which is characterized in that an energy complementing road entering from a ramp is arranged outside a main road of a high-speed road, and the energy complementing road is sequentially provided with a power unloading area and a power on area; vehicles driving into the energy complementing road from the high-speed main road sequentially pass through the unloading area and the electrifying area to complete unloading and electrifying processes of the replaceable batteries of the vehicles; when a vehicle runs in an unloading area, the vehicle unlocks a locking mechanism of a battery pack; and in the power-on area, when the battery pack is detected, the battery pack is locked in the battery compartment of the automobile chassis through the battery pack locking mechanism. The method has the advantages that rapid energy supplementation is achieved without stopping in the high-speed driving process, the endurance anxiety is reduced, the endurance of the vehicle is improved, and the purpose of rapidly completing battery replacement is achieved.

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.

This invention relates to the field of big data analytics, and in particular to a method and apparatus for recommending electric vehicle charging stations based on driver charging preferences. The method collects current user information and historical charging behavior data, and updates the user's range anxiety threshold. L The system collects the status information of the user's vehicle and the operational data of the charging stations; when a user submits a charging request, it first filters candidate charging stations; then it combines the collected information with the user's current status. L Calculate the user's arrival at any candidate charging station i Payment costs C b Parking time cost C t Range anxiety costs C h and charging efficiency U i Then according to U i Calculate the selection probability of each candidate charging station P i Finally, based on user preferences, the candidate charging stations were categorized as follows: P i From high to low or by C b , C t and C h The recommendations are generated by sorting the data from lowest to highest quality. This invention addresses the problem that existing charging station recommendation services cannot meet users' personalized preferences.

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.

The invention discloses a charging pile intelligent regulation and control method considering mileage anxiety and adjustable potential of a user. According to the method, on one hand, the flexibility of the electric quantity demand of each accessed vehicle is considered, an accumulated energy-power boundary model is constructed, and then the adjustable potential of an adjustable electric vehicle in a charging station is calculated; on the other hand, a partially observable Markov model of the charging station is constructed in combination with the mileage anxiety of the user; then, taking each charging pile in the charging station as an agent in a multi-agent reinforcement learning method, and solving a partially observable Markov model of the charging station by using the multi-agent reinforcement learning method; and finally, applying the trained multi-agent reinforcement learning model to the target charging pile, thereby realizing intelligent regulation and control of the charging pile on the charging and discharging power of the accessed vehicle. According to the method, the problems of voltage fluctuation amplitude increase, load peak-valley difference amplification, power distribution network power blockage and the like caused by disordered access of large-scale electric vehicles are solved.

The application discloses an electric vehicle power battery discharge control method, a computer device and a storage medium. According to the application, the power battery can be discharged according to a dynamically determined discharge cutoff execution value, the state of charge of the power battery can be maintained at a level that just meets the target charging pile, the control of the power battery can be avoided to be too conservative to affect the use of other power components on the electric vehicle, and the control of the power battery can be avoided to be too aggressive to cause over-discharge of the power battery or to cause the power battery to have a low state of charge that cannot support the electric vehicle to drive to the position of the target charging pile. The electric vehicle power battery discharge control method in the embodiment can improve the use flexibility of the electric vehicle and is favorable to reduce or eliminate the range anxiety of a user. The application is widely applied in the technical field of automobiles.

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."

A remaining-range display method, comprising: in response to detecting an energy consumption switching signal, obtaining an energy consumption difference between pre-switching energy consumption and post-switching energy consumption; and in response to determining that the energy consumption difference is greater than a preset value, switching a current remaining‐range display interface to a target display interface, so as to display a remaining‐range variation trend via the target display interface. Further provided are a remaining-range display apparatus, an electronic device, and a vehicle. According to the method, the remaining-range variation trend is displayed via the target display interface, so that users can intuitively understand how the current energy consumption switching affects the remaining range, and clearly perceive the dynamic range capability of the whole vehicle, thereby avoiding the problem in the prior art of the range anxiety of users caused by inconsistencies between the displayed remaining-range attenuation and the actual driving range, or instantaneous changes in the displayed remaining range.

The invention discloses a big data analysis method for national and provincial road charging pile layout. Multi-source data such as traffic flow, historical charging requirements and existing charging pile distribution are collected, and a charging facility vacant area is identified in combination with a road network and geographic information. A time sequence prediction method is utilized to predict future charging demands, a multi-target optimization model is established, and a candidate charging pile layout scheme is optimized through linear programming, so that the targets of construction cost minimization, charging demand satisfaction rate maximization, user waiting time minimization and the like are achieved. In combination with MATLAB simulation software, different layout schemes are simulated, the charging pile utilization rate, the service coverage rate and the user experience are evaluated, and decision making is assisted through visual analysis. The method can scientifically plan the arrangement of the charging piles, improves the resource utilization efficiency, relieves the endurance anxiety of the user, and provides a data-driven decision basis for the construction of national and provincial charging infrastructures.

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 application relates to an intelligent power supply solution for an electric vehicle and belongs to the electric vehicle field.The solution comprises a cloud server which is connected with a system management background, a battery production and warehouse management subsystem, an intelligent electric vehicle network access management subsystem, an intelligent charging and battery replacement device management subsystem, an electric vehicle battery box management subsystem, a user vehicle battery management subsystem and a vehicle battery recycling management subsystem.The application uses a standard charging battery which can be freely plugged and unplugged, has a unique identity and a charging and discharging frequency recording function and is matched with a supporting intelligent electric vehicle and an intelligent charging and battery replacement device for the electric vehicle, so that the following functions can be realized: real-time monitoring of battery capacity and charging and discharging frequency, complete separation of battery charging and use scene, quick completion of battery pack replacement and cost settlement, effective tracking of the whole life cycle of the battery, realization of a user experience which is faster and cheaper than refueling and solution of the range anxiety.

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 belongs to the field of new energy electric vehicle charging and energy complementation, and particularly relates to a vehicle-mounted solar charging control method, system and device and a medium, and the method comprises the steps: obtaining environment parameters and vehicle real-time state parameters; judging whether a starting threshold value is reached or not according to the environment parameters and the vehicle real-time state parameters, and obtaining a judgment result; the solar charging mode is started or not started according to the judgment result, and intelligent and accurate starting and stopping of the vehicle-mounted solar charging system are achieved by dynamically and cooperatively judging the environment parameters and the real-time state of the vehicle. According to the scheme, when the solar irradiation condition is sufficient and the vehicle is in an off-grid scene, the solar energy can be actively converted into the effective endurance mileage, and the mileage anxiety problem of the new energy vehicle is remarkably relieved. And invalid or high-risk charging scenes are avoided through a thresholding control mechanism, so that the battery safety is ensured while the energy utilization efficiency is improved.