81 results about "Range anxiety" patented technology

A first range, a second range, and a third range are determined for a state-of-charge associated with a battery. The second range is determined based on a first set of information. The third range is determined based on a second set of information different from the first set of information. A map including a first zone associated with the first range, a second zone associated with the second range, and a third zone associated with the third range is displayed.

The invention discloses an electric vehicle remaining driving range estimation method and device, a storage medium and equipment, and belongs to the field of electric vehicles. The method comprises the following steps: acquiring the remaining available power of a battery in real time; acquiring unit mileage power consumption according to the road grade and congestion degree of a travel path and the driving style of a driver; and calculating the remaining driving range according to the remaining available power and unit mileage power consumption of the battery. The influence rule of the drivingstyle of the driver, the road grade of a planned travel and the real-time congestion degree of the road condition on the travel energy consumption is comprehensively analyzed, and the unit mileage power consumption in the driving process of the electric vehicle is quantitatively predicted. According to the invention, the remaining driving range estimation method fusing the pedestrian, vehicle androad information is adopted, and more comprehensive factors are considered, so that the remaining driving range of the electric vehicle can be calculated more accurately, and the mileage anxiety of auser can be relieved.

The invention relates to an intelligent travel integrated dispatching system for electric vehicles. The system includes a dynamic traffic information acquisition system, a multi-target multi-constrain path planning system based on dynamic traffic information, a distributed charging facility deployment system, a short-distance travel distribution system and a vehicle-mounted terminal system. According to the intelligent travel integrated dispatching system for the electric vehicles of the invention, dynamic traffic information is fully utilized to plan travel routes, distributed charging facilities are fully allocated, the utilization rate of the charging facilities can be improved, the short-distance travel distribution system is used in combination, and therefore, a green travel goal can be achieved. With the intelligent travel integrated dispatching system for the electric vehicles of the invention, problems such as the insufficiency of remaining range that an electric vehicle can travel and the shortage of charging facilities can be solved, short-distance travel from a charging station to a destination can be satisfied; existing transport facilities, distributed charging facilities and green travel means are utilized to the greatest extend, so that electric vehicle travel for middle and long distances can be realized, the range anxiety of the electric vehicles can be decreased; and the feasibility of a current travel can be provided in an intuitive way through using the vehicle-mounted terminal.

The invention discloses an electromobile endurance mileage optimization device and a method thereof. The device comprises a data acquisition system, a decision making system and an expert system. The data acquisition system comprises a mobile client, a vehicle-carried communication system and a charging station communication module. The decision making system comprises a first wireless communication module and a decision making module. The expert system comprises a second wireless communication module, a database and a path planning module. The expert system receives driving task attribute information, electromobile vehicle condition information and charging post work condition information and then searches the database. If there is matched data, an existing plan path is returned. If there is no matched data, the path planning module processes. By combining constraint conditions such as electromobile vehicle condition, charging post work condition, traffic condition, driving task attribute and the like, the path planning module establishes an optimization problem model, solves the optimization problem and provides multiple battery friendly routing solutions. According to the invention, the problem of range anxiety can be effectively alleviated, and work efficiency can be greatly raised. The device and the method are of deep and practical significance.

The invention relates to the technical field of vehicle battery replacement, in particular to a battery electric quantity supplementing method, a device and equipment and a storage medium. The methodcomprises the following steps: acquiring the current residual electric quantity of a power battery; if the current remaining electric quantity is smaller than or equal to a first threshold value, obtaining current driving information of the vehicle; and recommending an electric quantity supplementing scheme of the power battery according to the current driving information. According to the batteryelectric quantity supplementing method provided by the embodiment of the invention, the electric quantity control value of the power battery is set, and when the current remaining electric quantity of the power battery is smaller than or equal to the first threshold value, the power battery electric quantity supplementing scheme capable of being selected by the driver is recommended to the driveraccording to the current driving information of the vehicle; on one hand, mileage anxiety of a driver can be relieved, the driver can concentrate on driving a vehicle, and on the other hand, time foroperating a pure electric vehicle driver can be saved, so that operation cost is reduced, and income is increased.

The invention relates to an intelligent shared energy block with positioning reservation and identification functions, and belongs to the field of new energy applications. The problems of "range anxiety" and charging inconvenience of an electric vehicle are becoming more and more significant. Measures such as extending the range on one charge and setting up a sufficient number of fast charging stations can alleviate the problems, but will result in the waste of charging pile investment, too much occupation of land by "parking spaces", battery life reduction and other waste of resources. The invention provides the intelligent shared energy block, which mainly comprises an energy block housing, not less than one battery module, not less than one battery state monitoring and management module, an intelligent IoT module, a whole vehicle communication and control module and a peripheral interface, has an independent electronic identity, and is capable of intelligent positioning and remote reservation and fast completion of recharging by way of direct warehouse replacement or addition. The intelligent shared energy block in the invention realizes remote reservation and completes fast andconvenient recharging without expanding charging piles or parking lots, and thoroughly solves the problem of "range anxiety".

The invention discloses a driving range prediction method, device and equipment and a storage medium. The method comprises the following steps: obtaining the available hydrogen amount, the residual electric quantity of a power battery and environment information of a vehicle; determining the average energy consumption of the vehicle according to the environment information; determining the total energy of the vehicle according to the available hydrogen quantity and the residual electric quantity of the power battery; and predicting the driving range of the vehicle according to the total energyand the average energy consumption. By means of the technical scheme, the endurance capacity of the fuel cell and the endurance capacity of the power cell can be integrated, influences of environmental factors such as weather conditions and road traffic conditions are considered, the driving range of the vehicle is accurately predicted, and the problem of range anxiety of a driver is relieved.

The invention belongs to the field of electric vehicle charging scheduling and discloses an energy information considered electric vehicle multi-factor charging method for intelligent transportation.The method includes: step one, a vehicle sends a query request to RSU in a communication radius of the vehicle to acquire charging station state information in a traveling process; step two, after theRSU receives the query request from the electric vehicle, cached charging station state information is released; step three, after charging station selection related factors are obtained according tothe method, an optimal charging station is selected according to a multi-factor optimal charging station selection strategy; step four, whether to update appointment or not is determined according tonewly acquired information in a process of a vehicle node traveling to the selected charging station. The optimal charging station selection method based on multiple factors including travel lastingtime, energy, distance and the like is provided and has certain practical significance to relieve problems of range anxiety.

The invention discloses a power battery system with integrated rechargeable and changeable batteries, a working method, and applications. The system comprises a fixed power battery pack and at least achangeable power battery pack. Power output ends of the fixed power battery pack and the changeable power battery packs are connected with a power input end of a drive motor, and the power output ends of the fixed power battery pack and the changeable power battery packs are also connected with a power input end of an auxiliary source power supply through a DCDC module. The power output end of the auxiliary source power supply is connected with power input ends of a fixed power battery management system, a changeable power battery management system, and a main controller, to realize fast charging of an electric vehicle or expansion of a power battery pack, and improve road haul of the electric vehicle, relieve range anxiety, and improve driving experience.

The invention discloses a method and device for determining energy consumption and a method and device for determining a driving strategy. Influence of multiple factors such as weather parameters, traffic route parameters, driving behavior parameters, vehicle working condition parameters and power source parameters on the vehicle energy consumption is considered; moreover, a weather factor chart,a whole vehicle energy consumption factor chart and a power source factor chart are inquired according to the different energy consumption influence parameters, and the energy consumption influence factors corresponding to the different energy consumption influence parameters are obtained, so that the different energy consumption influence factors are integrated, and the vehicle energy consumptionin the current driving environment is obtained. At the moment, chart query operation according to the parameters is simple, and the consumed time is short; therefore, the vehicle energy consumption in the current driving environment can be quickly obtained, so that the driving range is accurately determined according to the vehicle energy consumption in the current driving environment and the residual oil quantity (electric quantity) of the current vehicle, the driving range displayed by the instrument panel is the same as the actual range, and a user is prevented from generating range anxiety.

The invention provides a vehicle rapid battery replacing system and a battery replacing operation method for long-distance trunk line transportation. The system comprises a plurality of battery replacing stations; the cloud battery replacement service platform is respectively communicated with the battery replacement station and the vehicle through a network; according to the vehicle capable of rapidly replacing the battery, the distribution information, the battery state information and the service information of the battery replacing station can be obtained through the cloud battery replacing service platform. Through the cloud battery replacement service platform, the battery replacement stations, the vehicles and the battery replacement station operation service modules which are originally independent from one another are connected, and comprehensive distribution, electric energy planning, battery replacement schemes and battery replacement station auxiliary service information ofthe battery replacement stations are provided for customers according to the vehicle carrying capacity, destination distances and road conditions along the line; interconnection and intercommunication of long-distance transport vehicles, stations and batteries are achieved, the mileage anxiety of a user to vehicles in a long-distance transport scene is relieved, the operation efficiency of a battery swap station can be improved, the transport cost is reduced, and the innovative target that pure electric drive exceeds 350 KM in long-distance transport is achieved.

The invention discloses a method and a system for providing services for range anxiety users on the basis of internet of vehicles. According to the method for providing the services for the range anxiety users on the basis of the internet of vehicles, on the basis of an evaluation result of an internet-of-vehicles platform to a range anxiety grade of a user, services are provided for the user with the range anxiety by means of an internet-of-vehicles channel; and the services comprise information collection, estimated running range calculation, free space displaying, charging pile recommendation, charging station, finishing of charging navigation, providing of improvement suggestions and the like. According to the method for providing the services for the range anxiety users on the basis of the internet of vehicles, through a human-computer interaction mode, services and improvement suggestions of relieving the range anxiety can be provided for the users with the different range anxiety grades in an oriented manner so as to achieve the effect of helping the users to reduce the anxiety and rapidly get out of an anxiety cycle.

The invention discloses an intelligent judgment method for an electric charging moment, and belongs to the field of electric vehicles. The method comprises the following steps: S1, determining an early warning coefficient omega in real time according to personal attributes of a driver and driving data of the electric vehicle; s2, obtaining the remaining driving range Sremain of the electric vehicle and the distance Sarrive between the electric vehicle and the target charging station in real time; and s3, judging whether the Sremain-Sarrive is smaller than an early warning threshold value or not, if yes, sending a charging alarm prompt, and determining the early warning threshold value according to the total driving range of the electric vehicle and the early warning coefficient omega. According to the invention, personal attributes of drivers, energy consumption conditions of vehicles, real-time road conditions of roads and other information are considered; the mileage anxiety of the driver is graded; according to the mileage anxiety degree and the actual charging requirement of the driver, charging early warning and charging station reservation are carried out for the drivers withdifferent mileage anxiety degrees at proper time, the electric vehicle can be charged timely and accurately, the mileage anxiety of the driver is effectively relieved, and the traveling quality of the electric vehicle driver is improved.

The invention provides a roof automatic-folded solar panel power generation device. The device comprises a solar panel left side plate, a solar panel right side plate, a solar panel front side plate,a solar panel back side plate and a solar panel base plate; the solar panel left side plate, the solar panel right side plate, the solar panel front side plate and the solar panel back side plate arefoldably arranged on four edges of the solar panel base plate through integrated overturning mechanisms; and the integrated overturning mechanisms comprise fixed frames and transmission mechanisms. The device can solve the problem of power supply of a pure electric vehicle at any time, greatly relieves the range anxiety and the charging trouble of users of the pure electric vehicle, and achieves simple operation, energy conservation, greenness, environmental protection and no pollution.

The invention discloses a power supply management method applied to an extended-range cold storage vehicle, relates to the technical field of new energy automobiles, and solves the problem of "range anxiety" and "cold storage effect anxiety" during goods transportation by a traditional pure electric cold storage vehicle. The method comprises the following steps of 1, determining an actual plannedtravel path based on a starting departure place and a final destination of the extended-range cold storage vehicle; and 2, travelling along the actual planned travel path, and adjust cold storage vehicle control logic in real time based on current energy provided by a range extender and the charged amount of the cold storage vehicle so as to ensure that the cold storage vehicle can reach the destination in the fastest and energy-saving manner on the premise of ensuring the cold storage effect. According to the power supply management method, normal operation of the cold storage vehicle is ensured, and meanwhile the cold storage effect of the cold storage vehicle is also preferentially guaranteed.

The invention discloses a mobile parallel charging system based on an electric vehicle dynamic charging request, and the system comprises: an electric vehicle real-time charging demand receiving module which is used for receiving an electric vehicle charging service request in real time; an electric vehicle position updating module which is used for further updating an uncompleted charging service request and updating a new charging request position; and a mobile charging vehicle path re-planning module which is used for planning a new or arranged mobile charging vehicle path by taking the lowest cost as a target. The parallel charging system provided by the invention is helpful for relieving the driving mileage anxiety of a driver of the electric vehicle, and effectively avoids large-scale fixed charging infrastructure layout; according to the invention, the path of the mobile charging vehicle can be updated in real time to serve the charging demand updated in real time at the minimum cost; and multiple electric vehicles at the same node can be served at the same time, and the service efficiency of mobile charging vehicles is fully improved.

The invention provides a charging navigation method, device and terminal, and relates to the technical field of navigation planning. The method comprises the following steps: acquiring a navigation path from a departure place to a destination, and calculating navigation power consumption required by the navigation path; and under the condition that the residual electric quantity of the vehicle at the departure place is smaller than the navigation power consumption, selecting at least one charging station from the navigation path, and adding the at least one charging station to a path point in the navigation path. According to the scheme, the charging station of the route can be planned in advance before the user goes out, and the mileage anxiety and the charging anxiety of the user are reduced.

A system and method are provided for displaying information to a driver of a vehicle, including the initiating of a vehicle trip and measuring a distance traveled since vehicle trip initiation. A remaining driving range distance is calculated based upon an onboard energy of the vehicle, and a total vehicle trip range is also calculated and displayed, including the distance traveled since vehicle trip initiation and the remaining driving range distance. The display of the total vehicle range can be displayed as a display bar with the distance traveled shown on one side of a current location indicator and the remaining driving range distance shown proportionally on a second side of the current location indicator. The display of the total vehicle range can be displayed as the numerical distance traveled and the numerical remaining driving range distance.

The invention provides an electric vehicle energy consumption prediction method, system and device based on data driving and a medium, and the method comprises the steps: collecting the operation monitoring data of a tested vehicle through the Internet of Vehicles, obtaining the historical operation data, constructing a vehicle driving time-space electric quantity relation model through the combination of a Monte Carlo method, and calculating the energy consumption of the tested vehicle; obtaining a running time-space electric quantity relation of the tested vehicle; external factors are obtained according to the historical operation data, a vehicle driving condition prediction model is constructed based on a KNN algorithm according to the external factors, and the future driving condition of the tested vehicle is predicted by obtaining the current external factors of the tested vehicle; and according to the historical operation data, constructing an energy consumption prediction model based on a machine learning algorithm, and predicting the energy consumption demand of the tested vehicle in combination with the running time-space electric quantity relationship and the future running condition of the tested vehicle. According to the method, the real-time performance of prediction data is improved, the accuracy to the tested vehicle individual can be realized, real-time data support can be provided for the travel of the user, and the mileage anxiety is relieved.

The invention discloses a power-saving mode control method and system and an electric vehicle, and the method comprises the steps: responding to a received power-saving mode opening instruction, entering a power-saving mode, obtaining the current state of charge (SOC) of a storage battery, judging the electric quantity section of the SOC, and starting the power-saving mode; the corresponding vehicle speed limit, the energy recovery intensity and the forbidden system range are matched according to the electric quantity section where the current state of charge (SOC) of the storage battery is located, and the vehicle is correspondingly controlled; wherein different maximum vehicle speed limits, different energy recovery intensities and different system forbidding ranges are preset in different electric quantity sections. By means of the power-saving mode control method, basic driving requirements can be met, the endurance mileage is increased, and mileage anxiety is relieved.

The invention provides a vehicle endurance auxiliary control method and system, a storage medium and a vehicle, and the method comprises the steps: calculating the mileage under the current driving habit according to the residual energy of the vehicle when a navigation route is planned; when the travelable mileage is smaller than or equal to the target mileage of the vehicle, calculating allowable power consumption per 100 kilometers according to the target mileage and the residual energy; according to the permissible power consumption per 100 kilometers and the lower limit value of the power consumption per 100 kilometers, whether the charging pile is planned into the navigation route or not is judged; if not, outputting a navigation route, and controlling the working mode of the sub-function under each functional domain according to the allowable power consumption per hundred kilometers; if yes, outputting a navigation route with the charging pile, updating the allowable power consumption per hundred kilometers according to the navigation route, and controlling the working mode of the sub-function under each functional domain according to the updated allowable power consumption per hundred kilometers; the energy consumption of the vehicle can be reduced, the endurance mileage of the vehicle is increased, and the problem of mileage anxiety of long-distance travel of the electric vehicle is solved.