CN103995234A - Method for monitoring residual discharge time and running distance of boosting type storage battery set - Google Patents
Method for monitoring residual discharge time and running distance of boosting type storage battery set Download PDFInfo
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- CN103995234A CN103995234A CN201410238336.1A CN201410238336A CN103995234A CN 103995234 A CN103995234 A CN 103995234A CN 201410238336 A CN201410238336 A CN 201410238336A CN 103995234 A CN103995234 A CN 103995234A
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Abstract
The invention discloses a method for monitoring residual discharge time and the running distance of a boosting type storage battery set. The method is achieved through the boosting type storage battery set composed of a single storage battery, a storage battery module, a DC-DC converter, a storage battery module monitoring controller, a general monitor and a displacement sensor. The method can be used for dynamically monitoring and displaying the residual capacity of the boosting type storage battery set and the residual running distance of an electric vehicle and has the advantages of being high in practicality and convenient to implement.
Description
Technical field
The present invention is boost type battery pack residual capacity and running distance dynamic monitoring method, belongs to Vehicular accumulator cell group and the electric automobile monitoring technical field of electric automobile.
Background technology
In existing electric automobile application, the monitoring of the residual capacity of the Vehicular accumulator cell group to electric automobile and the residue running distance of electric automobile and demonstration are particularly important, in existing technology, the calculated results of the current capacity to each cell batteries and practical situations gap are larger, in to the current capacity monitoring of battery pack, due to the hydraulic performance decline of indivedual cell batteries, affect the fan-out capability of whole battery pack, therefore be there is to very large deviation in the capacity monitoring of whole battery pack, and for boost type battery pack, due to the singularity of its discharge mechanism, just do not adapt with it at present, practical monitoring means is estimated and is shown that this application for electric automobile of residue running distance of its socking out time and electric automobile makes troubles, affect promoting the use of of electric automobile.
Summary of the invention
For convenience of narration, the individual name in the present invention, parameter symbol and correlationship are done to following introduction:
Cell batteries: for forming each the minimum secondary battery unit in battery module, also comprise accumulator in parallel by multiple cell batteries and that form;
Battery module: refer to be connected and the accumulator that forms by multiple cell batteries, its output voltage is lower than the output voltage of battery pack;
Boost type battery pack: refer to by multiple battery modules, by the battery pack that after independent DC-DC converter boost, also stream forms;
Battery module nominal electric weight: be the nominal capacity of certain cell batteries wherein, be generally dispatch from the factory theoretical value or standard testing value;
Battery module is historical total discharge capacity recently: battery module after having charged in the last time, start to be discharged to corresponding DC-DC transducer close till input and output electric current during the discharge electricity amount statistical value of this battery module; That is: battery module is from starting to discharge until electric discharge is closed;
Accumulator capacity disintegration coefficient: cell batteries capacity decay value is cell batteries volume change index; The factor analysis such as this coefficient and accumulator material, technique, working environment, working time, are provided by battery manufacturer man;
The current capacity of battery module: refer to that battery module starts electric discharge after charging finishes, the residual capacitance after electric discharge after a while;
Symbol definition and correlationship expression formula:
1, the total discharge capacity CLn of the history of battery module
CLn=I1*△t1+?I2*△t2+?I1*△t2+…+?In*△tm
Wherein:
CLn is the total discharge capacity of the history of battery module n, when m closes input and output electric current for this module discharges into corresponding DC-DC transducer for the last time, and the quantity of history total discharge time of the section of corresponding battery module n;
I1 is the discharge current in the △ t1 time period in upper once complete discharge process;
I2 is the discharge current in the △ t2 time period in upper once complete discharge process;
…；
Im is the discharge current in the △ tm time period in upper once complete discharge process;
2, discharge electricity amount Cln in this electric discharge work of battery module
Cln?=I1n*tl1+?I2n*tl2+…+Imn*tlm
Wherein:
Cln is battery module n discharge electricity amount in this electric discharge work;
In1 is battery module n in this electric discharge, the discharge current in time in the past section tl1;
In2 is battery module n in this electric discharge, the discharge current in time in the past section tl2;
….；
Inm is battery module n in this electric discharge, the discharge current in time in the past section tlm;
Wherein m in this electric discharge, the cumulative time hop count amount of discharging in the past;
3, the current capacity of battery module
Cn=rn*CLn-Cln; Wherein:
Cn is the current capacity of corresponding battery module n;
Rn is the capacity disintegration coefficient of battery module n;
CLn is the total discharge capacity of nearest history of battery module n;
Cln is battery module n discharge electricity amount after this electric discharge work starts; ;
4, the socking out time tn of each battery module under current current condition
tn=Cn/In
Tn is the socking out time of battery module n under current discharge current condition;
In is the current discharge current of battery module n;
Cn is the current capacity of corresponding battery module n;
T1, t2, t3 ..., tn is the discharge time of each battery module under current discharge current condition, by arranging from small to large;
5, the boost type battery pack socking out time
T=T1+T2+T3+ ... + Tn; Wherein:
T is the socking out time of described boost type battery pack;
T1, T2, T3 ..., Tn is each battery module after previous battery module stops electric discharge until this battery module stops the after discharge time of electric discharge, by arranging from small to large; And:
T1=t1；
T2=(?C2-I2*T1)/[I2+I1/(N-1)]
T3=[?C3-I3*(T1+T2)]/[I3+(I1+I2)/(N-2)]
…
Tn=[Cn-In*(T1+T2+…+Tn-1)]/{In+(I1+I2+…+In-1)/[N-(n-1)]}
Wherein N is the battery module quantity in discharge condition in described boost type battery pack;
In addition: V is current electric automobile road speed; S is the residue running distance when electric automobile under precondition, and electric automobile can continue the distance of driving after current time again;
In view of the foregoing and problem, the object of the present invention is to provide boost type battery pack residual capacity and running distance dynamic monitoring method, can be applicable to residual capacity to boost type battery pack and the residue running distance of electric automobile and realize dynamic monitoring and demonstration, and have practical, implement feature easily.
For achieving the above object, the present invention introduces a kind of boost type battery pack socking out time and running distance monitoring method, include cell batteries, battery module, DC-DC transducer, battery module monitor controller, total watch-dog, displacement transducer, it is characterized in that selecting to adopt following method of work:
(1), in battery module monitor controller, each cell batteries nominal capacity value, cell batteries capacity disintegration coefficient are set;
(2) total watch-dog and battery module monitor controller is gathered the discharge current parameter corresponding each time period in the complete discharge of each battery module the last time, store and according to CLn=I1* △ t1+ I2* △ t2+ I1* △ t2+ ... + In* △ tm method statistic calculates, and draws the total discharge capacity CLn of nearest history of each battery module and is stored;
(3) total watch-dog and battery module monitor controller Real-time Collection, the current discharge current parameter of having stored corresponding discharge current parameter, each cell batteries and battery module of each battery module each time period since this electric discharge work starts, the speed parameter of present bit displacement sensor;
(4) battery module monitor controller is according to each battery module discharge current parameter corresponding to each time period since this electric discharge work starts, and equals each time period calculated the discharge capacity of each battery module since this electric discharge work starts with the corresponding discharge current sum of products according to discharge capacity; According to Cln=I1n*tl1+ I2n*tl2+ ... the method of+Imn*tlm has calculated the discharge capacity Cln of each battery module since this electric discharge work starts;
(5) battery module monitor controller is according to the total discharge capacity of nearest history of each battery module, cell batteries capacity disintegration coefficient, cell batteries nominal capacity, the current discharge current of corresponding battery module and discharge capacity statistical value, calculate each battery module in each battery module socking out time when under precondition according to the method for tn=Cn/In, and sort ascending the battery module socking out time, obtain t1, t2, t3 ..., tn parameter;
(6) total watch-dog and battery module monitor controller be according to T1=t1, Tn=[Cn-In* (T1+T2+ ... + Tn-1)]/{ In+ (I1+I2+ ... + In-1)/[N-(n-1)] method statistic calculate each battery module after discharge time T 1, T2, T3 ..., TN; Adopt T=T1+T2+T3+ ... + TN statistical calculation method, obtains boost type battery pack socking out time T, and these data are shown on total watch-dog;
(7) total watch-dog is according to current line vehicle speed V and boost type battery pack socking out time T, and statistical computation draws residue running distance S, and this parameter is shown on total watch-dog.
Principle of work of the present invention is: in view of the formation feature of boost type battery pack, because the electric discharge of each battery module in boost type battery pack and close the current state for depending on wherein each cell batteries, after a battery module is closed electric discharge, the former discharge current of bearing of this battery module will be continued to bear by the battery module in discharge condition by other, and before a battery module is closed, other battery modules are also also always in discharge condition, consume part electric weight, therefore, the monitoring of the residue generating dutation to boost type battery pack adopts Real-Time Monitoring correlation parameter, and according to the correlation parameter of each collection, the nominal capacity arranging, limit value and historical discharge capacity carry out the time of statistical computation socking out stage by stage, finally collected, that is: according to the current voltage of each cell batteries collecting, using the current sparking voltage of minimum cell batteries in each module as reference value, the current discharge current parameter of corresponding battery module, with reference to corresponding battery module discharge time in past and discharge current statistical value, capability value under the nearest static condition of cell batteries, cell batteries nominal capacity, can statistical computation go out each battery module in the battery module socking out time when under precondition, and sort ascending the battery module socking out time, obtain t1, t2, t3, tn parameter, according to T1=t1, Tn=[Cn-In* (T1+T2+ ... + Tn-1)]/{ In+ (I1+I2+ ... + In-1)/[N-(n-1)] method statistic calculate each battery module after discharge time T 1, T2, T3 ..., TN, adopt T=T1+T2+T3+ ... + TN statistical calculation method, obtains boost type battery pack socking out time T, and these data are shown on total watch-dog, according to current line vehicle speed V and boost type battery pack socking out time T, statistical computation draws residue running distance S, and this parameter is shown on total watch-dog, so just realize the residual capacity of boost type battery pack that the present invention reaches and the residue running distance of electric automobile and realized the object of dynamic monitoring.
Brief description of the drawings
Fig. 1 is boost type battery pack residual capacity and the running distance dynamic monitoring method workflow diagram of one embodiment of the invention.
Embodiment
The explanation embodiments of the invention as an example of accompanying drawing 1 example below;
Workflow according to boost type battery pack residual capacity shown in the drawings and running distance dynamic monitoring method:
(1) system initialization, carries out system initialization to the microprocessor in total watch-dog and battery module monitor controller;
(2) each cell batteries nominal capacity value, cell batteries capacity disintegration coefficient are set;
(3) discharge current parameter corresponding to each time period in the complete discharge of each battery module the last time of collection, storage and statistical computation, according to: CLn=I1* △ t1+ I2* △ t2+ I1* △ t2+ ... + In* △ tm teacher of a special classification statistical computation draws the total discharge capacity CLn of nearest history of each battery module and is stored;
(4) the current discharge current parameter of corresponding discharge current parameter, each cell batteries and battery module of each battery module each time period since this electric discharge work starts, the speed parameter of present bit displacement sensor have been gathered, have stored;
(5), according to each battery module discharge current parameter corresponding to each time period since this electric discharge work starts, equaled each time period according to discharge capacity and calculated the discharge capacity of each battery module since this electric discharge work starts with the corresponding discharge current sum of products; According to Cln=I1n*tl1+ I2n*tl2+ ... the method of+Imn*tlm has calculated the discharge capacity Cln of each battery module since this electric discharge work starts;
(6) according to the total discharge capacity of nearest history of each battery module, cell batteries capacity disintegration coefficient, cell batteries nominal capacity, the current discharge current of corresponding battery module and discharge capacity statistical value, calculate each battery module in each battery module socking out time when under precondition according to the method for tn=Cnt/Int, and sort ascending the battery module socking out time, obtain t1, t2, t3 ..., tn parameter;
(7) according to T1=t1, Tn=[Cn-In* (T1+T2+ ... + Tn-1)]/{ In+ (I1+I2+ ... + In-1)/[N-(n-1)] method statistic calculate each battery module after discharge time T 1, T2, T3 ..., TN; Adopt T=T1+T2+T3+ ... + TN statistical calculation method, obtains boost type battery pack socking out time T;
(8), according to current line vehicle speed V and boost type battery pack socking out time T, calculate residue running distance S according to S=V*T method;
(9) boost type battery pack socking out time T parameter, current line vehicle speed V parameter, residue running distance S parameter are shown on total watch-dog;
(10) turn back to above-mentioned steps (3);
Carry out circular treatment by above-mentioned (3)-(10) step, the residual capacity of Real time dynamic display boost type battery pack and electric automobile residue running distance parameter value;
According to above-mentioned workflow, can complete embodiments of the invention to total watch-dog and each battery module monitor controller authorized strength work software.
The present invention has introduced a kind of boost type battery pack socking out time and the running distance monitoring method that a kind of boost type battery pack being made up of cell batteries, battery module, DC-DC transducer, battery module monitor controller, total watch-dog, displacement transducer realizes, can be applicable to residual capacity to boost type battery pack and the residue running distance of electric automobile and realize dynamic monitoring and demonstration, and have practical, implement feature easily.
Claims (1)
1. boost type battery pack socking out time and running distance monitoring method, include cell batteries, battery module, DC-DC transducer, battery module monitor controller, total watch-dog, displacement transducer, it is characterized in that selecting to adopt following method of work:
In battery module monitor controller, each cell batteries nominal capacity value, cell batteries capacity disintegration coefficient are set;
Total watch-dog and battery module monitor controller is gathered the discharge current parameter corresponding each time period in the complete discharge of each battery module the last time, store and according to CLn=I1* △ t1+ I2* △ t2+ I1* △ t2+ ... + In* △ tm statistical computation, draws the total discharge capacity CLn of nearest history of each battery module and is stored;
Total watch-dog and battery module monitor controller Real-time Collection, the current discharge current parameter of having stored corresponding discharge current parameter, each cell batteries and battery module of each battery module each time period since this electric discharge work starts, the speed parameter of present bit displacement sensor;
Battery module monitor controller is according to each battery module discharge current parameter corresponding to each time period since this electric discharge work starts, and equals each time period calculated the discharge capacity of each battery module since this electric discharge work starts with the corresponding discharge current sum of products according to discharge capacity; According to Cln=I1n*tl1+ I2n*tl2+ ... the method of+Imn*tlm has calculated the discharge capacity Cln of each battery module since this electric discharge work starts;
Battery module monitor controller, according to the total discharge capacity of nearest history of each battery module, cell batteries capacity disintegration coefficient, cell batteries nominal capacity, the current discharge current of corresponding battery module and discharge capacity statistical value, calculates the current capacity C n of each battery module according to Cn=rn*CLn-Cln method;
Calculate each battery module when each battery module socking out time under precondition according to the method for tn=Cn/In, and sort ascending the battery module socking out time, obtain t1, t2, t3 ..., tn parameter;
Total watch-dog and battery module monitor controller be according to T1=t1, Tn=[Cn-In* (T1+T2+ ... + Tn-1)]/{ In+ (I1+I2+ ... + In-1)/[N-(n-1)] method statistic calculate each battery module after discharge time T 1, T2, T3 ..., TN; Adopt T=T1+T2+T3+ ... + TN statistical calculation method, obtains boost type battery pack socking out time T, and these data are shown on total watch-dog;
Total watch-dog is according to current line vehicle speed V and boost type battery pack socking out time T, and statistical computation draws residue running distance S, and this parameter is shown on total watch-dog.
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Application publication date: 20140820 |