CN106959420A - A kind of power battery pack SOC and SOH adaptive estimation method - Google Patents

Abstract

The invention discloses a kind of power battery pack SOC and SOH adaptive estimation method, the adaptive estimation system of the present invention mainly includes battery ID performance data input module, battery status information acquisition module, automobile running working condition information identification module, battery ART network module, the method of the present invention proposes the concept of capacity matrix, the actual discharge capacity of electrokinetic cell more accurately can be recorded and evaluated with the matrix, more really embody accumulated time and the distribution character that a charging-discharging cycle internally-powered battery is worked with different discharge rates, the present invention proposes the concept of capacity matrix, suitable for the battery of all models, various types of automobiles and almost all of operating mode, enhance the transplantability and versatility of SOC and SOH estimating systems；Meanwhile, it is capable to which the SOC for preferably solving to cause the problems such as due to external environment condition change, driving cycle change, cell degradation estimates Problem of Failure.

Description

A kind of power battery pack SOC and SOH adaptive estimation method

Technical field

The invention belongs to electrokinetic cell management domain, a kind of power battery pack SOC and SOH ART network is specifically referred to Method.

Background technology

Power battery pack SOC (State of Charge, battery charge state) refers to current residual effective electricity percentage Than being the important parameter that later sails mileage estimation and energy management and control.It is unable to direct measurement to obtain, can only be estimated Meter is calculated.But its value is by battery types, connected mode, SOH (State of Health, the health status of battery), operating temperature With the multifactor impact such as discharge and recharge rate, so, it is not high according to the Traditional calculating methods accuracy of definition, and with transplantability and logical The characteristics of with property difference.

At present, known electrokinetic cell SOC is estimated to be a variety of algorithms, but usually require according to specific battery types with Module configuration and working characteristicses or working environment etc. carry out individually designed.Because the electrokinetic cell substantial amounts that are related to, structure are multiple Miscellaneous, the workload of individually designed SOC estimating systems is big, and once changes battery, and original SOC algorithm for estimating often can not be again Using, it is necessary to be directed to new battery design SOC algorithm for estimating again.How SOC estimation misalignment and transplantability, poor universality etc. are solved Problem, is that present battery management system needs a major challenge overcome badly.

The content of the invention

The present invention is directed to problems of the prior art, discloses a kind of power battery pack SOC and SOH self adaptation and estimates Meter method, this method proposes the concept of capacity matrix, more accurately can record and evaluate the reality of electrokinetic cell with the matrix Border discharge capacity, accumulated time and divide that more really one charging-discharging cycle internally-powered battery of embodiment is worked with different discharge rates Cloth characteristic, the matrix data is also used for SOH corrected Calculation, the accuracy to increase battery SOC estimation.

The present invention is achieved in that a kind of power battery pack SOC and SOH adaptive estimation method, and specific steps are such as Under：

Step one, battery management system BMS starts；

BMS starts, and carries out self detection, if abnormal, into BMS self-checking systems, if normally, further Determine whether battery pack and automobile are first connection；

If battery pack and automobile first connection, battery ID performance data input module start, internal battery pack parameter is read Information, determines the rated capacity C of battery pack_e, while battery ART network module starts, SOC and SOH is tentatively estimated Meter；

If battery pack is not first connection with automobile, battery status information acquisition module starts, and reads battery pack last time and fills The data storage of discharge capacity matrix, is carried out according to a preliminary estimate to SOC；

Step 2, judges whether battery pack needs charging；

It is, then prompting charging, is further confirmed whether charging, if charged, battery status information collection mould Block and battery ART network module start, the calculating for the amount of starting to charge up, and real-time update charging capacity matrix, carry out battery SOC/SOH estimations are calculated, and charging terminates rear storage volume matrix data and SOC/SOH data, and wait is used next time；

It is no, then battery discharge is waited, once battery enters discharge condition, battery status information acquisition module, running car Work information identification module and battery ART network module start, and start the calculating of discharge capacity, and real-time update discharge capacity Matrix, the SOC/SOH estimations for carrying out battery are calculated, and electric discharge terminates rear storage volume matrix data and SOC/SOH data, under wait First use.

Further, the charging and discharging state in the charging-discharging cycle complete to one of the capacity matrix in described step one enters Row record and mark, are divided into charging capacity matrix and discharge capacity matrix；

Charging capacity matrix is divided into the real time charging capacity matrix C in a charge cycle again_ccTerminate with the charge cycle When charging capacity Matrix C_ce, the matrix expression of the two is identical, C_ccExpression formula it is as follows：

In formula：i_c1、i_c2…i_cnDeng for rate of charge, t_c1、t_c2…t_cnFor the accumulation charging interval under the rate of charge, note The charge condition of one entire charge cycle of record, unit is second s；

Discharge capacity matrix is divided into the real-time discharge capacity Matrix C in a discharge cycle again_dcTerminate with the discharge cycle When discharge capacity Matrix C_de, the matrix expression of the two is identical, C_dcExpression formula it is as follows：

In formula：i_d1、i_d2…i_dnDeng for discharge-rate, t_dc1、t_dc2…t_dcnFor the accumulated discharge time under the discharge rate, note The discharge scenario of one complete charging-discharging cycle of record, unit is second s.

Further, described step two is specific as follows：

2.1, current driving operating mode is determined by automobile running working condition information identification module, to discharge capacity Matrix C_dcWith C_deDischarge rate interval carry out centrifugal pump and optimize and revise；

2.2, battery temperature is gathered by the temperature sensor in battery status information acquisition module in real time, it is determined that difference is put The temperature correction coefficient T of the interval capacity of electric multiplying power_d1、T_d2、T_di, carry out the accumulation corrected Calculation of discharge time.

Further, in described step two, automobile running working condition information identification module starts in electric discharge, Real time identification vapour The driving cycle of car；Battery status information acquisition module starts in charge and discharge, in real time the charge-discharge magnification of collection electrokinetic cell, temperature Degree, voltage, discharge time data.

Further, the determination method of discharge rate discrete point is optimized and revised in described discharge capacity matrix according to work information Method is gathered using the class for having border, specific formula is：

In formula：i_tFor general operating mode multiplying power corresponding under vehicle behavior, i_diIt is real-time for battery status information acquisition module The discharge-rate of collection, n is by the operating mode multiplying power number recognized in vehicle traveling process, and Δ r is that operating mode multiplying power and discharge-rate are poor The absolute value of value.

Further, the accumulated time formula that capacity matrix updates in described step two is as follows：

In formula：t_c1、t_c2…t_cnFor the accumulation charging interval under the rate of charge, an entire charge cycle of record Charge condition, unit is second s；t_d1、t_d2…t_dnFor the accumulated discharge time under the rate of charge, a complete discharge of record The discharge scenario in cycle, unit is second s；T_d1、T_d2…T_diFor the temperature correction coefficient of the interval capacity of different discharge-rates, Δ t_j For the discharge and recharge time of battery at different temperatures.

Further, during described SOC and SOH calculating, during electric discharge, with current discharge capacity Matrix C in real time_dcIt is complete with upper one Capacity matrix C at the end of whole discharge cycle_ecFor with reference to data are calculated, specific method is as follows：

Wherein, Δ C_dcFor real-time discharge capacity Matrix C_dcCapacity matrix C during with a upper complete discharge end cycle_ec Amendment capacity matrix；i_d1、i_d2…i_dnFor discharge-rate；t_de1、t_de2…t_denFor putting under certain multiplying power in last discharge cycle The electric time；t_dc1、t_dc2…t_dcnFor the discharge time under present discharge pattern multiplying power；Δt_dc1、Δt_dc2…Δt_dcnTo be front and rear Twice with multiplying power discharging time difference；k₁、k₂…k_n, l₁、l₂…l_nFor the cubage correction coefficient based on discharge rate；SOC₀To be electronic The initial SOC value of electrokinetic cell when automobile brings into operation；For the new battery initial launch storage of electric automobile Discharge capacity matrix data.

The present invention is relative to the beneficial effect of prior art：

The present invention reads the core material of electrokinetic cell and characteristic test of dispatching from the factory by battery ID performance data input module Data, the initialization for completing electrokinetic cell SOC and SOH is calculated, and is carried out in first charging-discharging cycle the test of capacity and tested Card；Thereafter SOC and SOH is calculated mainly according to the actual measurement real time data of electric automobile power battery and the historical data of storage Carry out adaptive polo placement.Because electric automobile power battery system is originally experienced the virtual condition influence of specific operating mode and battery, Calculated and unreasonable using data when dispatching from the factory always, SOC and SOH calculated value error can be caused larger, it is impossible to very well Sign electrokinetic cell state.By self adaptation SOC and SOH estimating system, carried out with recent electrokinetic cell historical data Calculate, meanwhile, capacity matrix also contemplates the influence to residual capacity such as temperature, discharge rate and regenerative braking and driving charging, Furthermore, capacity matrix is in itself according to the self-adaptative adjustment of the daily driving cycle of electric automobile, for the accurate estimation of residual capacity It is more reasonable with identifying.

The present invention proposes the concept of capacity matrix, it is adaptable to the battery of all models, various types of automobiles and almost institute Some operating modes, enhance the transplantability and versatility of SOC and SOH estimating systems, and electrokinetic cell module can be avoided to estimate with SOC The trouble of binding, reduction electric automobile BMS construction cycle；Meanwhile, it is capable to preferably solve due to external environment condition change, traveling The SOC estimation Problem of Failure that the problems such as working conditions change, cell degradation causes.

Brief description of the drawings

Fig. 1 is a kind of composition framework map of power battery pack SOC and SOH of the invention adaptive estimation system；

Fig. 2 is a kind of method flow diagram of power battery pack SOC and SOH of the invention adaptive estimation method；

Fig. 3 is the discrete optimization schematic diagram of vehicle behavior multiplying power point and battery actual discharge multiplying power point in the present invention；

Wherein, 1- battery IDs performance data input module, 2- battery status information acquisition modules, 3- automobile running working conditions letter Cease identification module, 4- battery ART network modules.

Embodiment

The present invention provides a kind of power battery pack SOC and SOH adaptive estimation method, to make the purpose of the present invention, skill Art scheme and effect are clearer, clearly, and referring to the drawings and give an actual example that the present invention is described in more detail.It should be understood that Specific implementation described herein is not intended to limit the present invention only to explain the present invention.

As shown in figure 1, be a kind of composition framework map of power battery pack SOC and SOH adaptive estimation system, the present invention Adaptive estimation system mainly include battery ID performance data input module (1), battery status information acquisition module (2), vapour Car traveling work information identification module (3), battery ART network module (4).

Battery ID is dispatch from the factory identity and the data message of electrokinetic cell, and the inside includes various characteristic test data, specified ginseng Amount and core material data, initial capability value and setting are provided by battery ID performance data input module (1) for new battery The reference frame of other control parameters.

Battery status information acquisition module (2) gathers voltage, electric current and temperature of electrokinetic cell monomer and module etc. in real time Information, the discharge and recharge real time capacity matrix data of battery, which updates, provides support.

Automobile running working condition information identification module (3) mainly by monitoring electric automobile during traveling status information, calculates dynamic The output current and power of power battery, and predict the distribution character of electrokinetic cell discharge capacity matrix.

Battery ART network module (4) includes capacity matrix and calculates, updates amendment and SOC/SOH estimation submodules, It is used for the actual discharge capacity for more accurately recording and evaluating electrokinetic cell by its discharge capacity matrix update module, it can be more Really embody accumulated time and distribution character that a charging-discharging cycle internally-powered battery is worked with different discharge rates, the matrix Data are also used for SOH corrected Calculation, the accuracy to increase battery SOC estimation；In view of the daily traveling work of electric automobile Condition, dynamic property and continual mileage requirement, the configuration of its usual electrokinetic cell, the discharge rate under most driving cycles are relative Than relatively low, also compare concentration, typically not over 0.8C, the discharge rate more than 1C typically occurs in the big work(such as anxious acceleration or climbing Rate conditions of demand, the likelihood ratio that this big discharge rate occurs is relatively low and the duration is shorter, therefore, and capacity matrix meeting basis is filled Discharge rate probability of occurrence determines the discharge and recharge shape in the density of its discrete value, the capacity matrix charging-discharging cycle complete to one State is recorded and identified, and is divided into charging capacity matrix and discharge capacity matrix.

Charging capacity matrix is divided into the real time charging capacity matrix C in a charge cycle again_ccTerminate with the charge cycle When charging capacity Matrix C_ce.What the former embodied is real time charging accumulation state, and the latter's mark is a complete charging week Charge accumulation state in phase (be completely put into and completely fill).The matrix expression of the two is identical, as follows：

In formula：i_c1、i_c2…i_cnDeng for rate of charge, t_c1、t_c2…t_cnFor the accumulation charging interval under the rate of charge, note The charge condition of one entire charge cycle of record, unit is second s.

Discharge capacity matrix is divided into the real-time discharge capacity Matrix C in a discharge cycle again_dcTerminate with the discharge cycle When discharge capacity Matrix C_de, what the former embodied is real-time electric discharge accumulation state, and the latter's mark is a complete electric discharge week Electric discharge accumulation state in phase (be completely charged to and completely put).The matrix expression of the two is identical, as follows：

In formula：i_d1、i_d2…i_dnDeng for discharge-rate, t_dc1、t_dc2…t_dcnFor the accumulated discharge time under the discharge rate, master The discharge scenario for the complete charging-discharging cycle to be recorded, unit is second s.

Battery ART network module (4) is estimated to count based on data above to electrokinetic cell SOC and SOH adaptive correction Calculate.

As shown in Fig. 2 be a kind of method flow diagram of power battery pack SOC and SOH adaptive estimation method of the invention, It is specific as follows：

Step one, battery management system BMS starts；

BMS starts, and carries out self detection, if abnormal, into BMS self-checking systems, if normally, further Determine whether battery pack and automobile are first connection；

If battery pack and automobile first connection, battery ID performance data input module (1) start, internal battery pack ginseng is read Number information, determines the rated capacity C of battery pack_e, while battery ART network module (4) starts, SOC and SOH is carried out just Step estimation；

If battery pack is not first connection with automobile, battery status information acquisition module (2) starts, and reads battery pack last time The data storage of charge/discharge capacity matrix, is carried out according to a preliminary estimate to SOC；

Step 2, judges whether battery pack needs charging；

It is, then prompting charging, is further confirmed whether charging, if charged, battery status information collection mould Block (2) and battery ART network module (4) start, the calculating for the amount of starting to charge up, and real-time update charging capacity matrix, wherein Charging capacity matrix is divided into the real time charging capacity matrix C in a charge cycle again_ccWith the charging at the end of the charge cycle Capacity matrix C_ce, the SOC/SOH estimation calculating of battery is carried out after renewal, charging terminates rear storage volume matrix data and SOC/ SOH data, wait is used next time；

It is no, then battery discharge is waited, once battery enters discharge condition, battery status information acquisition module (2), garage Sail work information identification module (3) and battery ART network module (4) starts, start the calculating of discharge capacity, and real-time update Discharge capacity matrix, discharge capacity matrix is divided into the real-time discharge capacity Matrix C in a discharge cycle again_dcWith the discharge cycle At the end of discharge capacity Matrix C_de, the SOC/SOH estimation calculating of battery is carried out after renewal, electric discharge terminates rear storage volume matrix Data and SOC/SOH data, wait are used next time.

When automobile brings into operation, if a brand-new charging-discharging cycle, charge cycle starts just to start charging capacity square The calculating and storage of battle array.When electric automobile starts to start, then start the amendment of power battery pack discharge capacity and accumulation is calculated, and lead to Cross automobile running working condition information identification module (3) and determine current driving operating mode, to discharge capacity Matrix C_dcAnd C_deDischarge rate area Between carry out centrifugal pump and optimize and revise；The corrected Calculation of discharge time considers influence of the temperature to capacity and carried out certain Amendment, it is contemplated that battery operating temperature pair can discharge capacity influence, discharge and recharge accumulated time value here is all that have passed through temperature The corrected Calculation to capacity is spent, specific method is the influence degree to capacity according to temperature, operating temperature interval is segmented Processing, and set the temperature correction coefficient T of its capacity_c1、T_c2、T_ci、T_d1、T_d2、T_diDeng.Self adaptation SOC and SOH estimating system root Calculated according to the recent data storage of four capacity matrix.

Current driving operating mode is determined by automobile running working condition information identification module (3), to discharge capacity Matrix C_dcAnd C_de Discharge rate interval carry out centrifugal pump and optimize and revise；

The determination method of discharge and recharge rate discrete point gathers method using the class for having border in capacity matrix, and specific formula is：

In formula：i_tFor general operating mode multiplying power corresponding under automobile operating mode, accelerating mode is 2C, and climbing operating mode is 2.5C, at the uniform velocity operating mode are 0.8C, and idling operation is 0.3C, and n is by the operating mode multiplying power number recognized in vehicle traveling process, i_diFor electricity The discharge-rate that pond status information capture module is gathered in real time, Δ r is the absolute value of operating mode multiplying power and discharge-rate difference.

As shown in figure 3, star point represents the operating mode multiplying power point of automobile, stain represents the real-time discharge-rate point of battery, its In it should be noted that discrete value interval can be according in Real-road Driving Cycle, the frequency that each operating point occurs is adjusted.Reason By being above that frequency more big data point is more intensive, it is contemplated that the amount of storage of data and being easy to capacity to convert, discrete point can not It is too intensive.It is essentially to embody driving cycle composition and feature as far as possible, it is generally the case that personal driving habit and daily row Sailing operating mode can be such that it changes in most cases less.

Battery temperature is gathered by temperature sensor in real time, the temperature correction coefficient of the interval capacity of different discharge-rates is determined T_d1、T_d2、T_di, carry out the accumulation corrected Calculation of discharge time；

The formula of accumulated time is as follows in capacity matrix：

T in formula_c1、t_c2…t_cnFor the accumulation charging interval under the rate of charge, an entire charge cycle of record is filled Electric situation, unit is second s；t_d1、t_d2…t_dnFor the accumulated discharge time under the rate of charge, a complete discharge week of record The discharge scenario of phase, unit is second s；T_d1、T_d2…T_diFor the temperature correction coefficient of the interval capacity of different discharge-rates, Δ t_jFor The discharge and recharge time of battery at different temperatures.

Self adaptation SOC and SOH estimating system are calculated according to the recent data storage of four capacity matrix.SOC and SOH During calculating, during electric discharge, with current discharge capacity Matrix C in real time_dcCapacity matrix C during with a upper complete discharge end cycle_ec For with reference to data are calculated, specific method is as follows：

Wherein, Δ C_dcFor real-time discharge capacity Matrix C_dcCapacity matrix C during with a upper complete discharge end cycle_ec Amendment capacity matrix；i_d1、i_d2…i_dnFor discharge-rate；t_de1、t_de2…t_denFor putting under certain multiplying power in last discharge cycle The electric time；t_dc1、t_dc2…t_dcnFor the discharge time under present discharge pattern multiplying power；Δt_dc1、Δt_dc2…Δt_dcnTo be front and rear Twice with multiplying power discharging time difference；k₁、k₂…k_n, l₁、l₂…l_nFor the cubage correction coefficient based on discharge rate.SOC₀To be electronic The initial SOC value of electrokinetic cell when automobile brings into operation.For the new battery initial launch storage of electric automobile Discharge capacity matrix data.

Except the first charging-discharging cycle of electrokinetic cell is tested, its SOC estimation is using the specified appearance stored in battery ID Measure outside as initial value, during subsequent use, self adaptation SOC estimating systems are according to the data stored in capacity matrix to dynamic Power battery SOC and SOH carry out adaptive polo placement.

The SOC value of electrokinetic cell is the real-time monitoring calculation during its work, while being electric current pair in view of discharge capacity The accumulation of time is calculated, thus SOC value calculate the data update cycle can be according to Electric Vehicles Driving Cycle or electrokinetic cell Discharge-rate is adjusted；And SOH is in the case of without battery failures, its value does not have too big change in the short time.

It should be noted that during daily traveling, many times battery still has electricity just to stop, may charging It may not charge and continue traveling next time, situation now is：Real-time discharge capacity matrix data storage can not represent battery Operating mode capacity, it is impossible to directly participate in starting next time SOC and SOH calculating, can be according to charging capacity if fully charged after parking Matrix is converted to improve the discharge capacity Matrix C of this discharge cycle_de；If stopping rear part charging, according to stopping for charging SOC value and charge volume that preceding calculating is obtained calculate the SOC value at the end of charging, wait startup optimization next time, and restarting is put Electric capacity moment matrix is stored with updating, cycle circulation.

Claims (7)

1. a kind of power battery pack SOC and SOH adaptive estimation method, it is characterised in that comprise the following steps that：

Step one, battery management system BMS starts；

BMS starts, and carries out self detection, if abnormal, into BMS self-checking systems, if normally, further determined that Whether battery pack and automobile are first connection；

If battery pack and automobile first connection, battery ID performance data input module start, internal battery pack parameter information is read, Determine the rated capacity C of battery pack_e, while battery ART network module starts, SOC and SOH is carried out according to a preliminary estimate；

If battery pack is not first connection with automobile, battery status information acquisition module starts, and reads battery pack last time discharge and recharge The data storage of capacity matrix, is carried out according to a preliminary estimate to SOC；

Step 2, judges whether battery pack needs charging；

Be, then prompting charging, be further confirmed whether charging, if charged, battery status information acquisition module with Battery ART network module starts, the calculating for the amount of starting to charge up, and real-time update charging capacity matrix, carries out the SOC/ of battery SOH estimations are calculated, and charging terminates rear storage volume matrix data and SOC/SOH data, and wait is used next time；

It is no, then battery discharge is waited, once battery enters discharge condition, battery status information acquisition module, automobile running working condition Information identification module and battery ART network module start, and start the calculating of discharge capacity, and real-time update discharge capacity matrix, The SOC/SOH estimations for carrying out battery are calculated, and electric discharge terminates rear storage volume matrix data and SOC/SOH data, waits next time Use.

2. a kind of power battery pack SOC and SOH according to claim 1 adaptive estimation method, it is characterised in that institute Charging and discharging state in capacity matrix in the step of stating one charging-discharging cycle complete to one is recorded and identified, and is divided into Charging capacity matrix and discharge capacity matrix；

Charging capacity matrix is divided into the real time charging capacity matrix C in a charge cycle again_ccAt the end of the charge cycle Charging capacity Matrix C_ce, the matrix expression of the two is identical, C_ccExpression formula it is as follows：

$C_{cc}=\left[\begin{array}{cccccccc}{i}_{c1}& i_{c2}& i_{c3}& i_{c4}& ...& i_{c(n-2)}& i_{c(n-1)}& i_{cn}\\ t_{cc1}& t_{cc2}& t_{cc3}& t_{cc4}& ...& t_{cc(n-2)}& t_{cc(n-1)}& t_{ccn}\end{array}\right]---\left(1\right)$

In formula：i_c1、i_c2…i_cnDeng for rate of charge, t_c1、t_c2…t_cnFor the accumulation charging interval under the rate of charge, record The charge condition of one entire charge cycle, unit is second s；

Discharge capacity matrix is divided into the real-time discharge capacity Matrix C in a discharge cycle again_dcAt the end of the discharge cycle Discharge capacity Matrix C_de, the matrix expression of the two is identical, C_dcExpression formula it is as follows：

$C_{dc}=\left[\begin{array}{cccccccc}{i}_{d1}& i_{d2}& i_{d3}& i_{d4}& ...& i_{d(n-2)}& i_{d(n-1)}& i_{dn}\\ t_{dc1}& t_{dc2}& t_{dc3}& t_{dc4}& ...& t_{dc(n-2)}& t_{dc(n-1)}& t_{dn}\end{array}\right]---\left(2\right)$

In formula：i_d1、i_d2…i_dnDeng for discharge-rate, t_dc1、t_dc2…t_dcnFor the accumulated discharge time under the discharge rate, record The discharge scenario of one complete charging-discharging cycle, unit is second s.

3. a kind of power battery pack SOC and SOH according to claim 1 or 2 adaptive estimation method, its feature exists In described step two is specific as follows：

2.1, current driving operating mode is determined by automobile running working condition information identification module, to discharge capacity Matrix C_dcAnd C_dePut Electric rate interval carries out optimizing and revising for centrifugal pump；

2.2, battery temperature is gathered by the temperature sensor in battery status information acquisition module in real time, different electric discharges times are determined The temperature correction coefficient T of rate interval capacity_d1、T_d2、T_di, carry out the accumulation corrected Calculation of discharge capacity matrix.

4. a kind of power battery pack SOC and SOH according to claim 3 adaptive estimation method, it is characterised in that institute In the step of stating two, battery status information acquisition module starts in charge and discharge, in real time the charge-discharge magnification of collection electrokinetic cell, temperature Degree, voltage, discharge time data；Automobile running working condition information identification module starts in electric discharge, the traveling of Real time identification automobile Operating mode.

5. a kind of power battery pack SOC and SOH according to claim 3 adaptive estimation method, it is characterised in that institute The determination method of discharge rate discrete point is optimized and revised in the discharge capacity matrix stated according to work information using the class set for having border Poly- method, specific formula is：

$\begin{array}{c}|i_t-i_{di}|\≤\mathrm{\Δ}r\\ 2n*\mathrm{\Δ}r\≥|max\left(i_{di}\right)-\min \left(i_{di}\right){|}_{i=1~n}\\ \min {\left(\right|i_t-i_{di}\left|\right)}_{i=1~n}\end{array}---\left(3\right)$

In formula：i_tFor general operating mode multiplying power corresponding under vehicle behavior, i_diGathered in real time for battery status information acquisition module Discharge-rate, n is by the operating mode multiplying power number that is recognized in vehicle traveling process, and Δ r is operating mode multiplying power and discharge-rate difference Absolute value.

6. a kind of power battery pack SOC and SOH according to claim 1 adaptive estimation method, it is characterised in that institute The accumulated time formula that capacity matrix updates in the step of stating two is as follows：

$t_{ci}=T_{ci}\underset{j=1}{\overset{m}{\Σ}}{\mathrm{\Δt}}_j---\left(4\right)$

$t_{di}=T_{di}\underset{j=1}{\overset{l}{\Σ}}{\mathrm{\Δt}}_j---\left(5\right)$

In formula：t_c1、t_c2…t_cnFor the accumulation charging interval under the rate of charge, the charging of an entire charge cycle of record Situation, unit is second s；t_d1、t_d2…t_dnFor the accumulated discharge time under the rate of charge, a complete discharge cycle of record Discharge scenario, unit be second s；T_d1、T_d2…T_diFor the temperature correction coefficient of the interval capacity of different discharge-rates, Δ t_jFor electricity The discharge and recharge time of pond at different temperatures.

7. a kind of power battery pack SOC and SOH according to claim 1 adaptive estimation method, it is characterised in that institute When the SOC and SOH stated is calculated, during electric discharge, with current discharge capacity Matrix C in real time_dcDuring with a upper complete discharge end cycle Capacity matrix C_ecFor with reference to data are calculated, specific method is as follows：

$\begin{array}{c}{\mathrm{\ΔC}}_{dc}=\left|\begin{array}{cccc}{i}_{d1}& i_{d2}& \mathrm{...}& i_{dn}\\ {\mathrm{\Δt}}_{dc1}& {\mathrm{\Δt}}_{dc2}& \mathrm{...}& {\mathrm{\Δt}}_{dcn}\end{array}\right|\\ {\mathrm{\ΔC}}_{dc}=\left|\begin{array}{cccc}{i}_{d1}& i_{d2}& \mathrm{...}& i_{dn}\\ (t_{de1}-t_{dc1})& (t_{de2}-t_{dc2})& \mathrm{...}& (t_{den}-t_{dcn})\end{array}\right|\\ SOC={\mathrm{SOC}}_0-k_1*\frac{{\mathrm{\Δt}}_{dc1}}{t_{dc1}}+k_2*\frac{{\mathrm{\Δt}}_{dc2}}{t_{dc2}}+\mathrm{...}+k_n*\frac{{\mathrm{\Δt}}_{dcn}}{t_{dcn}}\\ SOH=l_1*\frac{t_{de1}}{t_{de1}^1}+l_2*\frac{t_{de2}}{t_{de2}^1}+\mathrm{...}+l_n*\frac{t_{de2}}{t_{de2}^1}\end{array}---\left(6\right)$

Wherein, Δ C_dcFor real-time discharge capacity Matrix C_dcCapacity matrix C during with a upper complete discharge end cycle_ecRepair Positive capacity matrix；i_d1、i_d2…i_dnFor discharge-rate；t_de1、t_de2…t_denDuring for electric discharge under certain multiplying power in last discharge cycle Between；t_dc1、t_dc2…t_dcnFor the discharge time under present discharge pattern multiplying power；Δt_dc1、Δt_dc2…Δt_dcnFor it is front and rear twice With multiplying power discharging time difference；k₁、k₂…k_n, l₁、l₂…l_nFor the cubage correction coefficient based on discharge rate；SOC₀For electric automobile The initial SOC value of electrokinetic cell when bringing into operation；For the electric discharge of the new battery initial launch storage of electric automobile Capacity matrix data.