CN102024999B - Electric car running power management system - Google Patents
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Abstract
The invention relates to an electric car power management and monitoring system in the technical field of electric cars. The system comprises an electric car running power dynamic management module, a battery maintenance system, a remote monitoring system, an electric car induction service system and an intelligent analysis platform, wherein the battery maintenance system is connected with various sensors on the electric car and used for acquiring data information and feature parameters; the electric car running power dynamic management module is connected with the battery maintenance system; the remote monitoring system is connected with the battery maintenance system to obtain positioning information from the battery maintenance system on the electric car; the intelligent analysis platform is connected with the electric car running power dynamic management module and used for transmitting model parameter information; and the electric car induction service system is connected with the intelligent service platform system and used for transmitting service queue information and service demand information shared in the network of electric car users. The invention can accurately forecast the residual service life of the battery of the electric car and realize the dynamic management of the running power condition of the electric car.
Description
Technical field
What the present invention relates to is the system in a kind of vehicle technology field, specifically a kind of electric car running power management system.
Background technology
The action edge of battery-driven car namely refers to operating range, driving range, the destination of battery-driven car, mainly based on its contained battery performance and management system thereof.The performance quality of battery management system has determined directly that to the battery/accuracy rate of battery pack life forecast estimation and the efficient of electric car running power system will improve the degree of utilization of battery system greatly for cell health state research actv. diagnosis and prediction.Battery management system detects the working parameter (such as voltage, electric current, temperature, dump energy and state of health) of electrokinetic cell, to guarantee electrokinetic cell/battery pack trouble free service, and the mode of operation of electrokinetic cell/battery pack accurately estimated, so that whole-control system according to current battery status Optimal Control Strategy, improves dynamic property and the driving economy of car load.The key point that present battery management technology is paid close attention to mainly contains 2 points: the first, improve the battery charging and discharging monitoring technique, and comprise charge and discharge monitoring, discharge and recharge safely, discharge and recharge balancing technique, volume calculation technology.In the certain situation of battery cost, determined the operation cost of electronlmobil the service life of battery, and the battery charging and discharging control technology has directly determined the service life of battery.Improve now the means of battery charging and discharging control technology, not only be the development of hardware technology, more be the development of software technology, such as the monitoring of residual capacity calculating, real time charging Current calculation, cell health state.The second, the safety performance of raising battery management system comprises that battery management system Anti-Jamming Technique, battery management system reach alarm technique and battery pack thermal management technology unusually.Battery management system is applied under the environment of very severe, and environment can produce extremely large interference to battery management system.Improve the Anti-Jamming Technique of battery management system, comprise Anti-interference Technique of Hardware and software anti-jamming; Also need simultaneously to strengthen the timely processing to abnormal condition, as discharge and recharge unexpected increase or battery damages; Also has the heat management of strengthening battery/battery pack and battery management system.Be used for aircraft battery such as some conventional batteries healthprobe methods and safeguard, comprise being discharged to voltage readings under a predefined voltage levvl, open electric circuit voltage tester, the load, internal impedance measurement.The shortcoming of tradition maintenance technology has: battery needs to take out, and needs expertise to realize this detection.In addition, internal impedance is measured and must could be realized battery-driven car on-line monitoring and health analysis by expensive and heavy instrument.Many technology have adopted linear model, such as rate of discharge and relaxation model capacity of cell there is better estimated accuracy.The statistics empirical model has set up such as 2 step parabola models and two sigmoid function models that under environment controlled condition power descends and the relation of time-event.The main limitation of said method is to export still the form with electric current, voltage or electric capacity, rather than user-friendly information, such as state of health and the residue useful life longevity of battery.And all models all only consider one or both conditions (such as control battery charge state, discharge rate, ambient temperature), when often losing actual utility at these models that obtain under setting under other operating modes.
Except the above research of paying close attention to battery performance condition diagnosing and modeling, some correlation techniques relate to the predictive diagnosis stage, not only disclose battery health information as purpose take non-damage type ground method, and the prediction that solves emphatically the remaining battery useful life longevity, thereby make the battery altering time of optimizing.Data-driven model such as autoregressive moving-average model are used to predict the trend of capacity of cell decline.State Estimation is such as Kalman filtering and the particle filter algorithm real-time estimate that is used to state of charge and service life state of expansion.Automation inference method such as fuzzy logic and artificial neural net (ANN) are used to the estimation of measuring internal impedance electrochemical parameter and state of charge, state of health, battery life.Although many utilization state of charge, state of health, battery life status are as important index, present cell health state focuses on the prediction of battery remaining power, and the life-span during actual battery uses is dynamic change.Present technology is mostly just predicted battery dump energy by the measurement of battery itself, lacks dynamic management system, can not obtain accurately result, and is very large with the practical life error.
Through the retrieval of prior art is found have in the main enterprises with the patent application of battery power management field: BYD, Chery Automobiles, Bike Battery Co., Ltd., Shenzhen city, in emerging, Lishen Battery Co., Ltd., Tianjin and Huawei Company.The technical theme that the patent application of BYD in the battery management field relates generally to comprises: the discharging and recharging and protection, the battery management system of control, battery, prevent over-charging of battery or cross the detection of putting and detection, battery voltage monitoring, the test of battery performance, the detection of battery dump energy, the balanced management of battery and the detection of the internal resistance of cell of protection, battery short circuit of battery.The technical theme that Cherry is mainly contained in the patent application in battery management field has: the limiting protecting of the equalization management of battery allowance detection, distributed battery management, battery temperature detection, internal resistance of cell detection, battery, battery voltage monitoring, battery performance detection and battery charging and discharging electric current.The Bike Battery Co., Ltd., Shenzhen city mainly concentrates on aspect charging unit (such as pre-charging lithium ion batteries electricity circuit CN200956520), lithium ion battery safety detection (such as a kind of lithium ion battery explosion cause test method CN101059553), charge and discharge balancing and battery protection (such as battery pack protection circuit CN101394080) and the voltage detecting (such as a kind of automatic detection battery voltage device and Precharged cabinet CN201060259) in the patent in battery management system field.In emerging company also have certain amount of the application for patent in the battery management system field; mainly concentrate on the method for charge/discharge of battery or the technique direction of device; such as charging method and device CN1885669, a kind of intelligent charging method and the device CN101340011 of the determination methods CN1389950 of accumulator charging and discharging state, a kind of rechargeable battery, the patented technology such as charge protection method and device CN101174770 and the patent of battery voltage detection aspect such as voltage sampling apparatus and the method CN101236235 of accumulator battery set single battery that also have the charge protection aspect.The patent application of power refreshing company in Tianjin in the battery management system field mainly concentrates on lithium ion battery test, lithium ion battery protection and cell resistance context of detection, such as the control setup CN1937350 that is used for square lithium ion secondary cell precharging, the high-power lithium ion battery group super-charge super-discharge of going here and there protection voltage check device CN200947542 and lithium-ion battery monomer or batteries low temperature performance evaluation method CN101241170 more.The patent application of Huawei Company aspect the battery management field is as the ancillary technique direction of its main R﹠D direction, main application concentrates on method or the device field of the charge/discharge of battery, such as the device CN201084793 of a kind of storage battery system and using method CN1738149 and battery management.To the technical patent of battery management system, such as the method CN101067646 in a kind of fast estimating vehicle fuel battery service life of Tsing-Hua University.
Above-mentioned patent of applying for mainly concentrates on the material improvement aspect of battery manufacture, such as anode, negative electrode, electrolyte, isolator, and the perhaps manufacturing of battery pack batch manufacturing assembling and design.The patent of battery-driven car electric power management system then mainly is the define method about fuel battery service life or durability, and only is confined to the monitoring to the battery of electric vehicle power state.Traditional battery management system just charges after battery electric quantity is finished or changes battery, its disadvantage comprises that charging duration is very long, the user needs patience to treat, its estimation to the battery of electric vehicle dump energy also is based on this type of model that is full of-discharges the fixed cycle experiment gained that finishes, lack dynamic prediction, do not have to consider based on the impact of different battery-driven car user behavior pattern features on battery power consumption, do not consider different condition of road surfaces and route to the impact of battery of electric vehicle energy consumption, not based on the functional interaction technique from service recommendations to the user and the method that electric power and the dynamic analysis of battery-driven car user behavioural habits are proposed yet.In addition, employed model lacks the online updating ability in the battery management system described in the prior art.
Summary of the invention
The present invention is directed to the prior art above shortcomings, a kind of battery-driven car electrical management monitored control system is provided, residual life that can the Accurate Prediction battery of electric vehicle is also realized dynamic management to the action edge situation of battery-driven car.
The present invention is achieved by the following technical solutions, the present invention includes: the electric car running power dynamic management module, the battery maintenance system, long distance control system, battery-driven car induced service system and intellectualized analysis platform, wherein: the battery maintenance system is connected and image data information and characteristic parameter with various kinds of sensors on the battery-driven car, the electric car running power dynamic management module is connected with the battery maintenance system and transmits battery status information and road conditions consumption information by the battery maintenance system to the action edge dynamic management module, long distance control system is connected with the battery maintenance system and the battery maintenance system from battery-driven car obtains locating information, intellectualized analysis platform is connected with the electric car running power dynamic management module and transmits the model parameter information of cloud computing intelligent information analysis gained, and battery-driven car induced service system is connected with the Intelligent Service Platform system and transmits battery-charging station reservation nearby and the service queue information of the battery-driven car that charging, the battery-driven car user is in the demand for services information of network sharing.
Described data message and characteristic parameter comprise: the voltage of battery, electric current, battery temperature, battery-driven car global positioning information, moving velocity, acceleration/accel, ambient temperature and ambient humidity.
Described battery maintenance system comprises: sensor assembly, feature extraction and coding module, and wherein: the data that the sensor assembly collection is relevant with electric car running power such as battery, road, environmental variance, and reach feature extraction and coding module with data; Feature extraction and coding module obtain battery state of charge, voltage, electric current in order to characteristic parameter, the current location of describing remaining battery electric power travel the electric power energy consumption characteristic parameter of road conditions, battery-driven car user's cybernetics control number by the data that gather are processed, and through after the protocol code characteristic parameter and sensing data are transmitted to the electric car running power dynamic management module.
Described electric car running power dynamic management module comprises: the characteristic extracting module on the individual intelligent communication device, electric car running power cloud computing analysis module and be arranged at electric car running power display module on the individual intelligent communication device, wherein: the characteristic extracting module in the electric car running power dynamic management module obtains remaining battery electrical nature parameter and existing situation road conditions electric power energy consumption feature from the battery maintenance system, and utilize wireless network with data information transfer to long-range electric car running power cloud computing analysis module; Electric car running power cloud computing analysis module in the electric car running power dynamic management module mates the remaining battery electrical nature parameter of gained, the road conditions electric power energy consumption feature of battery-driven car region road, battery-driven car user's driving behavior, calculate battery-driven car can sail and scope, realize estimating electric car running power.
Described long distance control system comprises: internet gis module and battery-driven car locating information memory module, and wherein: battery-driven car locating information memory module is used for global location data, speed, the acceleration/accel historical information of store electricity motor-car; The internet gis module of long distance control system obtains locating information and the sensing data of battery-driven car from the electric car running power dynamic management module, and information is stored in battery-driven car locating information memory module, utilize the internet gis module, the battery-driven car user can be by internet checking battery-driven car position and location history information, electric power, speed, acceleration information.
Described intellectualized analysis platform comprises: battery of electric vehicle characteristic information memory module, road energy consumption characteristic storage module, battery-driven car user behavioural characteristic memory module, battery-driven car and subscriber information management memory module, parameter of analytic model memory module and data-mining module, and wherein: the battery of electric vehicle characteristic information memory module in the intellectualized analysis platform is used for the eigenwert of storage electric car running power dynamic management module and battery maintenance system real-time battery monitoring of working condition various types of signal analysis gained; Road energy consumption characteristic storage module in the intellectualized analysis platform is used for the eigenwert of storage electric car running power dynamic management module and battery maintenance system Real-time Road energy consumption monitoring and the monitor signal when road travels and control signal analysis gained; Battery-driven car user behavioural characteristic memory module is used for storage electric car running power dynamic management module operates the control signal analysis gained of battery-driven car to the user behavior characteristic information, battery-driven car and subscriber information management memory module thereof are used for store electricity motor-car user's information and battery-driven car manufacturing information, the parameter of analytic model memory module is used for storage electric car running power dynamic management module remaining battery life, battery current residual electric weight period of service and road energy consumption matching optimization algorithm, the battery-driven car user operates the driving behavior parsing algorithm of battery-driven car, battery-driven car user destination and preference analysis and induce the parameter information of proposed algorithm model, data-mining module carries out the feature fusion analysis in order to the further information to a plurality of battery-driven cars and user thereof, obtain more accurately model parameter, the model parameter that gained upgrades is stored in the parameter of analytic model memory module, the model analysis parameter in regular update electric car running power dynamic management module and the battery-driven car induced service system.
Described battery-driven car induced service system comprises: the user shares evaluation information memory module and evaluation information Classified statistics module, wherein: the user shares the evaluation information memory module and is used for store electricity motor-car customer group and participates in voluntarily in the induced service system experience, evaluation and sharing information to restaurant, battery-charging station, movie theatre, In Public Places of Hotels, gymnasium, evaluation information Classified statistics module is carried out intellectual analysis to the evaluation information that the user shares in the evaluation information memory module, to the inductivity suggestion of battery-driven car user generating custom with difference preference.
Innovative point of the present invention is: battery status service information shows by individual intelligent communication equipment on 1 battery-driven car, the electric car running power management is combined closely with portable individual intelligent communication equipment, this innovative point need not to design and install the correlate meter device with the manufacturer of battery-driven car, individual's intelligent communication equipment is exactly the virtual instrument of battery-driven car, has reduced manufacturing and the design cost of battery-driven car; 2 situations based on cloud computing intelligent analysis battery-driven car and battery thereof, the main calculated load of its intellectual analysis is born by long-range Cloud Server, and the sensor characteristics information of numerous user's battery-driven cars carried out data mining, more reach intelligently the parameter of analytic model of electric car running power management system and intellectual inducing service system, this innovative point has not only improved the calculating degree of utilization of remote server by cloud computing, has also increased the analysis ability to the magnanimity sensing data; The 3 battery-driven car induced services that propose combine the evaluation information that user in the Web Community shares with battery-driven car user destination historic records, the user has practical value to battery-driven car, improves user's service experience and interest, produces great economic benefit.
Description of drawings
Fig. 1 is overall structure scheme drawing of the present invention.
Fig. 2 is battery maintenance system embodiment scheme drawing.
Fig. 3 is electric car running power dynamic management module embodiment scheme drawing.
Fig. 4 is long distance control system embodiment scheme drawing.
Fig. 5 is intellectualized analysis platform embodiment scheme drawing.
Fig. 6 is battery-driven car induced service system embodiment scheme drawing.
The specific embodiment
The below elaborates to embodiments of the invention, and present embodiment is implemented under take technical solution of the present invention as prerequisite, provided detailed embodiment and concrete operating process, but protection scope of the present invention is not limited to following embodiment.As shown in Figure 1, present embodiment comprises: electric car running power dynamic management module 1, long distance control system 2, battery maintenance system 3, battery-driven car induced service system 4 and intellectualized analysis platform 5, wherein: battery maintenance system 3 is connected and image data information and characteristic parameter with various kinds of sensors on the battery-driven car, electric car running power dynamic management module 1 is connected with battery maintenance system 3 and transmits battery status information and road conditions consumption information by battery maintenance system 3 to action edge dynamic management module 1, long distance control system 2 is connected with battery maintenance system 3 and the battery maintenance system 3 from battery-driven car obtains locating information, intellectualized analysis platform 5 is connected with electric car running power dynamic management module 1 and transmits the model parameter information of cloud computing intelligent information analysis gained, and battery-driven car induced service system 4 is connected with the Intelligent Service Platform system and transmits battery-charging station reservation nearby and the service queue information of the battery-driven car that charging, the battery-driven car user is in the demand for services information of network sharing.
Described data message and characteristic parameter comprise: the voltage of battery, electric current, battery temperature, battery-driven car global positioning information, moving velocity, acceleration/accel, ambient temperature and ambient humidity.
Described battery maintenance system 3 comprises: sensor assembly, feature extraction and coding module, and wherein: the data that the sensor assembly collection is relevant with electric car running power such as battery, road, environmental variance, and reach feature extraction and coding module with data; Feature extraction and coding module obtain battery state of charge, voltage, electric current in order to characteristic parameter, the current location of describing remaining battery electric power travel the electric power energy consumption characteristic parameter of road conditions, battery-driven car user's cybernetics control number, through after the protocol code characteristic parameter and sensing data being transmitted to electric car running power dynamic management module 1 by the data that gather are processed.
Described electric car running power dynamic management module 1 comprises: the characteristic extracting module on the individual intelligent communication device, electric car running power cloud computing analysis module and be arranged at electric car running power display module on the individual intelligent communication device, wherein: the characteristic extracting module in the electric car running power dynamic management module 1 obtains remaining battery electrical nature parameter and existing situation road conditions electric power energy consumption feature from battery maintenance system 3, and utilize wireless network with data information transfer to long-range electric car running power cloud computing analysis module; Electric car running power cloud computing analysis module in the electric car running power dynamic management module 1 mates the remaining battery electrical nature parameter of gained, the road conditions electric power energy consumption feature of battery-driven car region road, battery-driven car user's driving behavior, calculate battery-driven car can sail and scope, realize estimating electric car running power.
Described long distance control system 2 comprises: internet gis module and battery-driven car locating information memory module, and wherein: battery-driven car locating information memory module is used for global location data, speed, the acceleration/accel historical information of store electricity motor-car; The internet gis module of long distance control system 2 obtains locating information and the sensing data of battery-driven car from electric car running power dynamic management module 1, and information is stored in battery-driven car locating information memory module, utilize the internet gis module, the battery-driven car user can be by internet checking battery-driven car position and location history information, electric power, speed, acceleration information.
Described intellectualized analysis platform 5 comprises: battery of electric vehicle characteristic information memory module, road energy consumption characteristic storage module, battery-driven car user behavioural characteristic memory module, battery-driven car and subscriber information management memory module, parameter of analytic model memory module and data-mining module, and wherein: the battery of electric vehicle characteristic information memory module in the intellectualized analysis platform 5 is used for the eigenwert of storage electric car running power dynamic management module 1 and battery maintenance system 3 real-time battery monitoring of working condition various types of signal analysis gained; Road energy consumption characteristic storage module in the intellectualized analysis platform 5 is used for the eigenwert of storage electric car running power dynamic management module 1 and battery maintenance system 3 Real-time Road energy consumption monitorings and the monitor signal when road travels and control signal analysis gained; Battery-driven car user behavioural characteristic memory module is used for the behavior characteristic information that 1 couple of user of storage electric car running power dynamic management module operates the control signal analysis gained of battery-driven car, battery-driven car and subscriber information management memory module thereof are used for store electricity motor-car user's information and battery-driven car manufacturing information, the parameter of analytic model memory module is used for storage electric car running power dynamic management module 1 remaining battery life, battery current residual electric weight period of service and road energy consumption matching optimization algorithm, the battery-driven car user operates the driving behavior parsing algorithm of battery-driven car, battery-driven car user destination and preference analysis and induce the parameter information of proposed algorithm model, data-mining module carries out the feature fusion analysis in order to the further information to a plurality of battery-driven cars and user thereof, obtain more accurately model parameter, the model parameter that gained upgrades is stored in the parameter of analytic model memory module, the model analysis parameter in regular update electric car running power dynamic management module 1 and the battery-driven car induced service system 4.
Described battery-driven car induced service system 4 comprises: the user shares evaluation information memory module and evaluation information Classified statistics module, wherein: the user shares the evaluation information memory module and is used for store electricity motor-car customer group and participates in voluntarily in the induced service system 4 experience, evaluation and sharing information to restaurant, battery-charging station, movie theatre, In Public Places of Hotels, gymnasium, evaluation information Classified statistics module is carried out intellectual analysis to the evaluation information that the user shares in the evaluation information memory module, to the inductivity suggestion of battery-driven car user generating custom with difference preference.
This device carries out work in the following manner: the destination that will go of input in the electric car running power dynamic management module 1 of user on individual intelligent mobile communication apparatus, and destination information transferred to electric car running power dynamic management module on the Cloud Server; The electric car running power dynamic management module is extracted the current location in the long distance control system 2 simultaneously, and initial analysis calculates optimal path, and downloads on the individual intelligent mobile communication apparatus; Behind the battery-driven car electrifying startup, other sensors on 3 pairs of batteries of battery maintenance system and the battery-driven car begin monitoring, and gained information constantly reaches the electric car running power dynamic management module on the Cloud Server; Battery-driven car is obtained the meticulous information of road indirectly by the acceleration pick-up sensor in the process of moving, obtain user's operation information by the electronic control unit on the battery-driven car, by to cell pressure, the monitoring of current information obtains different the turning, battery power consumption under the friction drag condition and current battery status, electric car running power dynamic management module on the Cloud Server is to analyzing the consumption patterns of battery electric quantity and the scope that dump energy can travel of obtaining in the resulting information, upgrade optimal path and electric car running power estimated information, estimate more accurately the action edge scope of current battery-driven car, and be transmitted back on the individual intelligent mobile communication device and show; The historical information of evaluation information, battery-driven car user destination and driving behavior that 4 pairs of Web Community's customer groups of electric motor intelligent induced service system are shared is carried out intellectual analysis and coupling, when the user gives the destination that makes new advances, provide the relevant place of inductivity suggestion and route, and in the electric car running power dynamic management system, show; Intellectualized analysis platform 5 on the Cloud Server carries out comprehensive analyses and data mining with battery-driven car upper sensor data characteristics, customer objective ground history and driving behavior historical information, obtain better electric car running power and estimate the model parameter of accuracy rate and satisfaction of users, thereby upgrade electric car running power dynamic management module and electric motor intelligent induced service system.
As shown in Figure 2, in the battery maintenance system, voltage sensor, current sensor, be distributed in the temperature sensor on the power brick, 3 axle acceleration sensors, Global Positioning System Sensor Unit, the outer temperature sensor of car, each sensor of humidity sensor, and battery-driven car electronic control system is connected with the data acquisition system of battery maintenance system and transfers to feature extraction and coding module, obtain such as battery state of charge by the analysis to image data, voltage, electric current is in order to describe the characteristic parameter of remaining battery electric power, the travel electric power energy consumption characteristic parameter of road conditions of current location, battery-driven car user's cybernetics control number transmits characteristic parameter and sensing data through after the protocol code to the electric car running power dynamic management module.
As shown in Figure 3, after characteristic extracting module in the electric car running power dynamic management module obtains remaining battery electrical nature parameter and existing situation road conditions electric power energy consumption feature from the battery maintenance system, utilize wireless network with data information transfer to long-range electric car running power cloud computing analysis module, by the remaining battery electrical nature parameter of electric car running power cloud computing analysis module to gained, the road conditions electric power energy consumption feature of battery-driven car region road, battery-driven car user's driving behavior mates, calculate battery-driven car can sail and scope, namely realize estimating electric car running power, calculate accurately the following charging duration of battery, effectively arrange the battery altering plan, resulting battery-driven car current power residue period of service, the range information of can taking action, pass battery-driven car residue period of service and the range information of can taking action back through mobile radio network again, show above-mentioned information at individual intelligent communication apparatus module, in addition, the locating information of battery-driven car also reaches long distance control system by this action power dynamic management module; And from the parameter of analytic model of intellectualized analysis platform regular update Cloud Server computing module.
As shown in Figure 4, long distance control system obtains locating information and the sensing data of battery-driven car from the electric car running power dynamic management module, and information is stored in battery-driven car locating information memory module, utilize the internet gis module, the battery-driven car user can be by internet checking battery-driven car position and location history information, electric power, speed, acceleration information.
As shown in Figure 5, in the intellectualized analysis platform, the battery-driven car information that the user uses is stored in battery-driven car and subscriber information management module thereof, battery of electric vehicle state sensor data and road energy consumption data are behind the intellectual analysis of electric car running power dynamic management module, its characteristic information is stored in respectively battery of electric vehicle characteristic information memory module, road energy consumption characteristic storage module, data-mining module based on cloud computing technology further carries out the feature fusion analysis to multi-user's data, and Renewal model parameter, the model parameter that gained upgrades is stored in the parameter of analytic model memory module, regularly call the parameter of renewal from the model parameter memory module of intellectualized analysis platform by the electric car running power dynamic management module, to calling during the sensing intelligent data analysis on the battery-driven car; The analytical parameters of renewal also regularly calls from the model parameter memory module of intellectualized analysis platform in battery-driven car induced service system, so that the induced service information analysis is called when generating.
As shown in Figure 6, by battery-driven car induced service system, the battery-driven car user participates in restaurant on the network of induced service system voluntarily, battery-charging station, movie theatre, In Public Places of Hotels, the gymnasium is experienced evaluation and is shared, these evaluation informations of sharing are stored in the user and share the evaluation information memory module, excavate module by information intelligent and obtain the frequency that battery-driven car goes to dissimilar destinations from long distance control system, and the evaluation information that invoke user is shared in the evaluation information memory module carries out intellectual analysis, generate epigamic suggestion, live the demand of row life each side at food and clothing with satisfied and service electric vehicle family, these services can be by individual intelligent mobile communication apparatus such as the iPad of electric motor intelligent induced service system by Information Mobile Service network and user, iPhone and iPod Touch, smart mobile phone transmission suggestion and the realization of Android system are installed.
Claims (7)
1. battery-driven car electrical management monitored control system, it is characterized in that, comprise: battery-driven car power dynamic management module, the battery maintenance system, long distance control system, battery-driven car induced service system and intellectualized analysis platform, wherein: the battery maintenance system is connected and image data information and characteristic parameter with various kinds of sensors on the battery-driven car, battery-driven car power dynamic management module is connected with the battery maintenance system and transmits battery status information and road conditions consumption information by the battery maintenance system to battery-driven car power dynamic management module, long distance control system is connected with the battery maintenance system and the battery maintenance system from battery-driven car obtains locating information, intellectualized analysis platform is connected with battery-driven car power dynamic management module and transmits the model parameter information of cloud computing intelligent information analysis gained, battery-driven car induced service system is connected with the Intelligent Service Platform system and transmits the service queue information that battery-charging station reservation nearby reaches the battery-driven car that is charging, the battery-driven car user is in the demand for services information of network sharing, and described data message and characteristic parameter comprise: the voltage of battery, electric current, battery temperature, the battery-driven car global positioning information, moving velocity, acceleration/accel, ambient temperature and ambient humidity.
2. battery-driven car electrical management monitored control system according to claim 1, it is characterized in that, described battery maintenance system comprises: sensor assembly, feature extraction and coding module, wherein: the data that the sensor assembly collection is relevant with battery-driven car power, and data are reached feature extraction and coding module; Feature extraction and coding module obtain battery state of charge, voltage, electric current in order to characteristic parameter, the current location of describing remaining battery electric power travel the electric power energy consumption characteristic parameter of road conditions, battery-driven car user's cybernetics control number by the data that gather are processed, and through after the protocol code characteristic parameter and sensing data are transmitted to battery-driven car power dynamic management module.
3. battery-driven car electrical management monitored control system according to claim 2 is characterized in that, the data that described sensor assembly collection is relevant with battery-driven car power comprise: battery, road, environmental variance.
4. battery-driven car electrical management monitored control system according to claim 1, it is characterized in that, described battery-driven car power dynamic management module comprises: the characteristic extracting module on the individual intelligent communication device, battery-driven car power cloud computing analysis module and be arranged at battery-driven car power display module on the individual intelligent communication device, wherein: the characteristic extracting module in the battery-driven car power dynamic management module obtains remaining battery electrical nature parameter and existing situation road conditions electric power energy consumption feature from the battery maintenance system, and utilize wireless network with data information transfer to long-range battery-driven car power cloud computing analysis module; Battery-driven car power cloud computing analysis module in the battery-driven car power dynamic management module mates the remaining battery electrical nature parameter of gained, existing situation road conditions electric power energy consumption feature, battery-driven car user's driving behavior, calculate battery-driven car can sail and scope, realize estimating battery-driven car power.
5. battery-driven car electrical management monitored control system according to claim 1, it is characterized in that, described long distance control system comprises: internet gis module and battery-driven car locating information memory module, and wherein: battery-driven car locating information memory module is used for global location data, speed, the acceleration/accel historical information of store electricity motor-car; The internet gis module of long distance control system obtains locating information and the sensing data of battery-driven car from the battery maintenance system, and information is stored in battery-driven car locating information memory module, utilize the internet gis module, the battery-driven car user can be by internet checking battery-driven car position and location history information, electric power, speed, acceleration information.
6. battery-driven car electrical management monitored control system according to claim 1, it is characterized in that, described intellectualized analysis platform comprises: battery of electric vehicle characteristic information memory module, road energy consumption characteristic storage module, battery-driven car user behavioural characteristic memory module, battery-driven car and subscriber information management memory module thereof, parameter of analytic model memory module and data-mining module, wherein: the battery of electric vehicle characteristic information memory module in the intellectualized analysis platform is used for the eigenwert that the real-time battery monitoring of working condition of store electricity motor vehicle power dynamic management module and battery maintenance system various types of signal is analyzed gained; Road energy consumption characteristic storage module in the intellectualized analysis platform is used for the eigenwert of store electricity motor vehicle power dynamic management module and battery maintenance system Real-time Road energy consumption monitoring and the monitor signal when road travels and control signal analysis gained; Battery-driven car user behavioural characteristic memory module is used for store electricity motor vehicle power dynamic management module operates the control signal analysis gained of battery-driven car to the user behavior characteristic information, battery-driven car and subscriber information management memory module thereof are used for store electricity motor-car user's information and battery-driven car manufacturing information, the parameter of analytic model memory module is used for store electricity motor vehicle power dynamic management module remaining battery life, battery current residual electric weight period of service and road energy consumption matching optimization algorithm, the battery-driven car user operates the driving behavior parsing algorithm of battery-driven car, battery-driven car user destination and preference analysis and induce the parameter information of proposed algorithm model, data-mining module carries out the feature fusion analysis in order to the further information to a plurality of battery-driven cars and user thereof, obtain more accurately model parameter, the model parameter that gained upgrades is stored in the parameter of analytic model memory module, the model analysis parameter in regular update battery-driven car power dynamic management module and the battery-driven car induced service system.
7. battery-driven car electrical management monitored control system according to claim 1, it is characterized in that, described battery-driven car induced service system comprises: the user shares evaluation information memory module and evaluation information Classified statistics module, wherein: the user shares the evaluation information memory module and participates in voluntarily in the induced service system the restaurant for store electricity motor-car customer group, battery-charging station, movie theatre, In Public Places of Hotels, the experience of gymnasium, estimate and sharing information, evaluation information Classified statistics module is carried out intellectual analysis to the evaluation information that the user shares in the evaluation information memory module, to the inductivity suggestion of battery-driven car user generating custom with difference preference.
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