CN113688530A - Solving method for electric quantity optimal matching scheme of ultrathin battery pack - Google Patents
Solving method for electric quantity optimal matching scheme of ultrathin battery pack Download PDFInfo
- Publication number
- CN113688530A CN113688530A CN202111006185.3A CN202111006185A CN113688530A CN 113688530 A CN113688530 A CN 113688530A CN 202111006185 A CN202111006185 A CN 202111006185A CN 113688530 A CN113688530 A CN 113688530A
- Authority
- CN
- China
- Prior art keywords
- battery
- electric quantity
- box body
- battery pack
- matching scheme
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000004364 calculation method Methods 0.000 claims abstract description 23
- 239000011159 matrix material Substances 0.000 claims abstract description 7
- 238000009795 derivation Methods 0.000 claims description 7
- 238000009434 installation Methods 0.000 claims description 5
- 238000007789 sealing Methods 0.000 claims description 5
- 238000004422 calculation algorithm Methods 0.000 abstract description 4
- 238000013461 design Methods 0.000 description 5
- 239000000463 material Substances 0.000 description 4
- 238000009413 insulation Methods 0.000 description 3
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 229910052802 copper Inorganic materials 0.000 description 2
- 239000010949 copper Substances 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 229910000831 Steel Inorganic materials 0.000 description 1
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 1
- 229910052782 aluminium Inorganic materials 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/15—Correlation function computation including computation of convolution operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/06—Multi-objective optimisation, e.g. Pareto optimisation using simulated annealing [SA], ant colony algorithms or genetic algorithms [GA]
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Computational Mathematics (AREA)
- Pure & Applied Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Computer Hardware Design (AREA)
- Computing Systems (AREA)
- Algebra (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Primary Cells (AREA)
- Battery Mounting, Suspending (AREA)
Abstract
A method for solving an electric quantity optimal matching scheme of an ultrathin battery pack comprises the following steps: s1, deducing a calculation formula of the number m of the battery modules and the number n of the battery cores in a single battery module according to the structural characteristics of the battery pack; s2, representing the electric quantity of the battery pack by using the total projection area E of the battery cell, and deducing a calculation formula of the total projection area E of the battery cell according to the structural characteristics of the battery pack; s3, introducing a difference parameter delta1And delta2Calculating the difference between the number m of battery modules and the number n of battery cores, and adjusting the parameter [ P ]W，SL，Pd3，Pd4，Pd5，Md2，CW]And [ PL，SW，Pd1，Pd2，MT，Md1，Md3，Md4，CT]So that the difference parameter delta1And delta2All are zero, so that an electric quantity matching scheme matrix V is obtained preliminarilyP=[m，n，CW，CT]. The invention can effectively utilize the boundary space of the battery box body, maximizes the total electric quantity of the battery pack, and has the advantages of simple algorithm, strong universality and the like.
Description
Technical Field
The invention relates to the technical field of vehicles, in particular to a solving method of an electric quantity optimal matching scheme of an ultrathin battery pack.
Background
Along with the rapid development of new energy sources and the rapid development of power batteries, square aluminum shell battery cores are also more and more widely applied to power batteries of passenger vehicles and commercial vehicles, and the integration mode of a battery system scheme is more and more standardized after the evolution from oil-to-electricity conversion of new energy pure electric vehicles to pure electric platforms.
Except electric core, parts such as module end plate, module curb plate, module upper cover, BMS, battery upper and lower box in addition inside the current battery package, part kind and quantity are more, and mostly are irregular design, have taken a lot of variables for the arrangement scheme aassessment of battery, want to find a more suitable battery arrangement scheme relatively difficult fast. Therefore, the solving method of the optimal matching scheme of the electric quantity of the ultrathin battery pack is simple in algorithm and high in universality.
Disclosure of Invention
The invention provides a solving method of an electric quantity optimal matching scheme of an ultrathin battery pack, and mainly aims to solve the problems in the prior art.
The invention adopts the following technical scheme:
a solution method for an electric quantity optimal matching scheme of an ultrathin battery pack comprises a battery box body and a plurality of battery modules which are longitudinally arranged in the battery box body, wherein a plurality of battery cells are transversely arranged in each battery module, and end plates for fixing the battery cells are arranged at the front end and the rear end of each battery module; the solving method comprises the following steps:
s1, deducing the calculation formulas (1) and (2) of the number m of the battery modules and the number n of the battery cells in a single battery module according to the structural characteristics of the battery pack:
in the formula: pLIs the length of the battery box body; pWThe width of the battery box body; sLThe width of the sealing gasket in the length direction of the battery box body; swThe width of the sealing gasket in the width direction of the battery box body; cwThe cell width; cTThe cell thickness; mTThe end plate thickness; pd1The distance between the front end of the inner side of the battery box body and the front end of the outer side of the battery module is defined; pd2The distance between the rear end of the inner side of the battery box body and the rear end of the outer side of the battery module is defined; pd3The distance between the left side of the interior of the battery box body and the leftmost battery module is defined; pd4The distance between the right side and the rightmost battery module inside the battery box body is defined; pd5The distance between two adjacent battery modules is defined; md1The distance of the installation space required by the end plate; md2The distance between the outer side surface of the battery core and the inner side surface of the battery module is defined as the distance; md3The distance between the end plate and the electric core at the front end or the rear end is the distance between the end plate and the electric core at the front end or the rear end; md4The distance between two adjacent electric cores;
s2, representing the electric quantity of the battery pack by using the total projection area E of the battery cell, and deducing the calculation formula of the total projection area E of the battery cell according to the structural characteristics of the battery pack as follows:
s3, introducing a difference parameter delta1And delta2Calculating the difference between the number m of battery modules and the number n of battery cores before and after roundingBy adjusting the parameter [ P ]W，SL，Pd3，Pd4，Pd5，Md2，CW]And [ PL，SW，Pd1，Pd2，MT，Md1，Md3，Md4，CT]So that the difference parameter delta1And delta2All are zero, so that an electric quantity matching scheme matrix V is obtained preliminarilyP=[m，n，CW，CT]：
Further, in step S2, according to the property of the rounding function and using the function derivation method, in combination with equations (1) to (3), it is verified that when C is reachedWAnd CTThe larger the total projected area E of the cell.
Still further, the method comprises the following steps: s4, obtaining an electric quantity matching scheme matrix V in the preliminary stepPIn the selection of CWAnd CTTaking the scheme at the maximum value as the optimal electric quantity matching scheme VPmax=[mmax，nmax，CWmax，CTmax]。
Furthermore, the related performance parameters and safety parameters of the battery pack are comprehensively considered, and then an electric quantity optimal matching scheme V is selectedPmax=[mmax，nmax，CWmax，CTmax]。
Further, in step S3, it is found from the definition of the rounding function that any arbitrary function is defined
，
Thus when the difference parameter delta1And delta2The smaller the battery case, the less space is wasted, and when delta1And delta2When the total projection area of the battery cell is zero, the space of the battery box body is fully utilized to the maximum, and therefore the value of the total projection area E of the battery cell tends to the maximum.
Further, in the step (1), firstly, the width P of the battery box body is deduced according to the structural characteristics of the battery packWThe calculation formula (1.1) and the battery module width MwThe formula (1) is then combined with the formulas (1.1) and (1.2) to derive the formula (1) for calculating the number m of the battery modules:
in the step (1), firstly, the length P of the battery box body is deduced according to the structural characteristics of the battery packLIs calculated by the formula (2.1) and the battery module length MLThe calculation formula (2) of the number of battery cells n in a single battery module is derived by combining the calculation formulas (2.1) and (2.2):
compared with the prior art, the invention has the beneficial effects that:
the invention provides a solving method capable of rapidly obtaining an optimal electric quantity matching scheme of a battery pack, which comprehensively considers the structural characteristics of the battery pack and the installation characteristics of a battery core, can effectively utilize the boundary space of a battery box body, maximizes the total electric quantity of the battery pack, standardizes the arrangement and integration mode of the battery pack, is beneficial to the research and development work of a platform battery pack, and has the advantages of simple algorithm, strong universality and the like.
Drawings
Fig. 1 is a schematic structural view of a battery pack according to the present invention.
Fig. 2 is a schematic structural view of a battery module according to the present invention.
Fig. 3 is an enlarged schematic view of a portion a of fig. 1.
Fig. 4 is an enlarged schematic view of a portion B in fig. 1.
FIG. 5 is a schematic diagram of the algorithm flow of the present invention.
Detailed Description
The following describes embodiments of the present invention with reference to the drawings. Numerous details are set forth below in order to provide a thorough understanding of the present invention, but it will be apparent to those skilled in the art that the present invention may be practiced without these details.
Referring to fig. 1 to 4, the invention provides a solution method for an optimal electric quantity matching scheme of an ultrathin battery pack, the battery pack includes a battery box 1 and a plurality of battery modules 2 arranged in the battery box 1 in a longitudinal arrangement manner, each battery module 2 is transversely arranged with a plurality of battery cores 21, and the front and rear ends of each battery module 2 are respectively provided with an end plate 22 for fixing the battery cores 21. Specifically, the peripheral edges of the battery case 1 are each provided with a gasket 11. The solving method comprises the following steps:
and S1, deducing a calculation formula of the number m of the battery modules and the number n of the battery cells in a single battery module according to the structural characteristics of the battery pack.
S11, deducing the width P of the battery box body according to the structural characteristics of the battery packWThe calculation formula (1.1) and the battery module width MwThe calculation formula (1.2), the calculation formulas (1.1) and (1.2) are simultaneously calculated, and the calculation formula (1) of the number m of the battery modules can be deduced by combining the property of the rounding function to carry out rounding down:
s12, deducing the length P of the battery box body according to the structural characteristics of the battery packLIs calculated by the formula (2.1) and the battery module length MLThe calculation formula (2.2) of (2.1) and (2.2) are simultaneously calculated, and the calculation formula (2) of the number n of the battery cells in the single battery module is deduced by rounding down by combining the property of the rounding function:
specifically, in the above calculation formulas:
PLis the length of the battery case, PWIs the width of the battery case, PLAnd PWDetermines the length and width boundaries of the battery pack.
SLThe width of the sealing gasket in the length direction of the battery box body; swThe width of the gasket in the width direction of the battery case, S in the usual casew=SL。
CwThe cell width; cTThe cell thickness.
MTThe end plate thickness.
Pd1The distance between the front end of the inner side of the battery box body and the front end of the outer side of the battery module is defined; pd2The distance between the rear end of the inner side of the battery box body and the rear end of the outer side of the battery module is defined; pd3The distance between the right side and the rightmost battery module inside the battery box body is defined; pd4The distance between the left side of the interior of the battery box body and the leftmost battery module is defined; pd1、Pd2、Pd3And Pd4The corresponding space is used for installing parts such as a battery management system, a copper bar, a wire harness, a power distribution module, a thermal runaway detector and the like, and enough installation clearance needs to be ensured during design.
Pd5The space is used for installing parts such as copper bars, wire harnesses and the like for the distance between two adjacent battery modules.
Md1The distance of the installation space required by the end plate is used for installing materials or parts such as steel belts, rivets, ties and the like.
Md2For the distance between electric core lateral surface and the battery module medial surface, install materials or parts such as heating, insulating and ribbon in this space.
Md3The distance between the end plate and the front end or the rear end of the battery cell is used for filling materials such as bonding, insulation, heat insulation and the like.
Md4The space is used for filling materials such as bonding, heat insulation and the like for the distance between two adjacent electric cores.
S2, representing the electric quantity of the battery pack by using the total projection area E of the battery cell, and deducing the calculation formula of the total projection area E of the battery cell according to the structural characteristics of the battery pack as follows:
theoretically, when the total projection area E of the battery cell is the largest, the electric quantity of the battery pack reaches the largest, so that the maximum value of the total projection area E of the battery cell can be obtained, and the optimal electric quantity matching scheme can be obtained. And 3, reasoning and proving by adopting a function derivation method according to the property of the rounding function by combining the formulas (1) to (3), wherein when C is obtainedWAnd CTThe larger the total projected area E of the cell. The specific reasoning process is as follows:
s21, the simultaneous formulas (1) to (3) can be obtained:
as can be seen from the above-mentioned formula,
and
and therefore, the maximum values of the two parts can be respectively obtained, so that the maximum value of the total projection area E of the battery cell is calculated.
And the property of the rounding function shows that:
for any purpose
，
。
Thus is directed to
Maximum value is obtained according to
The maximum value is obtained. To is directed at
Maximum value is obtained according to
The maximum value is obtained.
S22, about
Considering the general layout design of the outer boundary and the inner parts of the battery pack, PW、SL、Pd3、Pd4、Pd5、Md2The adjustable space is small and can be regarded as a constant term, CWViewed as a variable, make up about CWFunction of (2)
Namely:
the derivation method is adopted to conduct derivation on the above formula to obtain:
according to analysis, for any CW，
It is always true that, as can be seen from this,
is a monotonically increasing function, thus CWThe larger the size of the tube is,
the larger.
S23, about
Considering the general layout of the outer boundary and the internal parts of the battery pack, PL、SW、Pd1、Pd2、MT、Md1、Md3、Md4The adjustable space is small and can be regarded as a constant term, CTViewed as a variable, make up about CTFunction of (2)
Namely:
the derivation method is adopted to conduct derivation on the above formula to obtain:
according to analysis, for any CT，
It is always true that, as can be seen from this,
is a monotonically increasing function, thus CTThe larger the size of the tube is,
the larger the
S24, summarizing the above reasoning, the cell width CwAnd cell thickness CTThe larger the cell total projected area E.
S3, introducing a difference parameter delta1And delta2Calculating the difference between the number m of battery modules and the number n of battery cores, and adjusting the parameter [ P ]W，SL，Pd3，Pd4，Pd5，Md2，CW]And [ PL，SW，Pd1，Pd2，MT，Md1，Md3，Md4，CT]So that the difference parameter delta1And delta2All are zero, so that an electric quantity matching scheme matrix V is obtained preliminarilyP=[m，n，CW，CT]：
Specifically, the definition of the rounding function can be seen for any
，
Thus when the difference parameter delta1And delta2This means that the battery case is less wasted when it is smaller, and delta1And delta2When the total projection area of the battery cell is zero, the space of the battery box body is fully utilized to the maximum, and therefore the value of the total projection area E of the battery cell tends to the maximum.
S4, obtaining an electric quantity matching scheme matrix V in the preliminary stepPIn the selection of CWAnd CTTaking the scheme at the maximum value as the optimal electric quantity matching scheme VPmax=[mmax，nmax，CWmax，CTmax]. Meanwhile, related performance parameters and safety parameters of the battery pack can be comprehensively considered, and then an electric quantity optimal matching scheme V is selectedPmax=[mmax，nmax，CWmax，CTmax]。
Referring to fig. 5, the calculation process is designed into a calculation method mode, when the optimal power matching scheme is solved, the computer can automatically calculate and solve the optimal power matching scheme only by inputting the required battery pack parameters according to prompts, and the method is simple and convenient to operate and high in universality.
The above description is only an embodiment of the present invention, but the design concept of the present invention is not limited thereto, and any insubstantial modifications made by using the design concept should fall within the scope of infringing the present invention.
Claims (7)
1. A method for solving an electric quantity optimal matching scheme of an ultrathin battery pack is characterized by comprising the following steps: the battery pack comprises a battery box body and a plurality of battery modules which are longitudinally arranged in the battery box body, wherein a plurality of battery cores are transversely arranged in each battery module, and end plates for fixing the battery cores are arranged at the front end and the rear end of each battery module; the solving method comprises the following steps:
s1, deducing the calculation formulas (1) and (2) of the number m of the battery modules and the number n of the battery cells in a single battery module according to the structural characteristics of the battery pack:
in the formula: pLIs the length of the battery box body; pWThe width of the battery box body; sLThe width of the sealing gasket in the length direction of the battery box body; swThe width of the sealing gasket in the width direction of the battery box body; cwThe cell width; cTThe cell thickness; mTThe end plate thickness; pd1The distance between the front end of the inner side of the battery box body and the front end of the outer side of the battery module is defined; pd2The distance between the rear end of the inner side of the battery box body and the rear end of the outer side of the battery module is defined; pd3The distance between the right side and the rightmost battery module inside the battery box body is defined; pd4The distance between the left side of the interior of the battery box body and the leftmost battery module is defined; pd5The distance between two adjacent battery modules is defined; md1The distance of the installation space required by the end plate; md2The distance between the outer side surface of the battery core and the inner side surface of the battery module is defined as the distance; md3The distance between the end plate and the electric core at the front end or the rear end is the distance between the end plate and the electric core at the front end or the rear end; md4The distance between two adjacent electric cores;
s2, representing the electric quantity of the battery pack by using the total projection area E of the battery cell, and deducing the calculation formula of the total projection area E of the battery cell according to the structural characteristics of the battery pack as follows:
s3, introducing a difference parameter delta1And delta2Calculating the difference between the number m of battery modules and the number n of battery cores, and adjusting the parameter [ P ]W，SL，Pd3，Pd4，Pd5，Md2，CW]And [ PL，SW，Pd1，Pd2，MT，Md1，Md3，Md4，CT]So that the difference parameter delta1And delta2All are zero, so that an electric quantity matching scheme matrix V is obtained preliminarilyP=[m，n，CW，CT]：
2. The method for solving the optimal matching scheme of the electric quantity of the ultrathin battery pack according to claim 1, characterized by comprising the following steps of: in step S2, according to the property of the rounding function and using the function derivation method, the formula (1) to (3) is combined to perform reasoning, so that when C is reachedWAnd CTThe larger the total projected area E of the cell.
3. The method for solving the optimal matching scheme of the electric quantity of the ultrathin battery pack according to claim 2, characterized by comprising the following steps of: also comprises the following steps: s4, obtaining an electric quantity matching scheme matrix V in the preliminary stepPIn the selection of CWAnd CTTaking the scheme at the maximum value as the optimal electric quantity matching scheme VPmax=[mmax，nmax，CWmax，CTmax]。
4. The method for solving the optimal matching scheme of the electric quantity of the ultrathin battery pack according to claim 3, characterized by comprising the following steps of: the related performance parameters and safety parameters of the battery pack are comprehensively considered, and then an electric quantity optimal matching scheme V is selectedPmax=[mmax，nmax，CWmax，CTmax]。
5. The method of claim 1, wherein the solution of the optimal matching scheme for the electric quantity of the ultra-thin battery packThe method is characterized in that: in step S3, the rounding function is defined for any arbitrary value
，
Thus when the difference parameter delta1And delta2The smaller the battery case, the less space is wasted, and when delta1And delta2When the total projection area of the battery cell is zero, the space of the battery box body is fully utilized to the maximum, and therefore the value of the total projection area E of the battery cell tends to the maximum.
6. The method for solving the optimal matching scheme of the electric quantity of the ultrathin battery pack according to claim 1, characterized by comprising the following steps of: in the step (1), firstly, the width P of the battery box body is deduced according to the structural characteristics of the battery packWThe calculation formula (1.1) and the battery module width MwThe formula (1) is then combined with the formulas (1.1) and (1.2) to derive the formula (1) for calculating the number m of the battery modules:
7. the method for solving the optimal matching scheme of the electric quantity of the ultrathin battery pack according to claim 1, characterized by comprising the following steps of: in the step (1), firstly, the length P of the battery box body is deduced according to the structural characteristics of the battery packLIs calculated by the formula (2.1) and the battery module length MLThe calculation formula (2) of the number of battery cells n in a single battery module is derived by combining the calculation formulas (2.1) and (2.2):
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111006185.3A CN113688530B (en) | 2021-08-30 | 2021-08-30 | Solving method of optimal power distribution scheme of ultrathin battery pack |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111006185.3A CN113688530B (en) | 2021-08-30 | 2021-08-30 | Solving method of optimal power distribution scheme of ultrathin battery pack |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113688530A true CN113688530A (en) | 2021-11-23 |
| CN113688530B CN113688530B (en) | 2024-03-08 |
Family
ID=78584186
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111006185.3A Active CN113688530B (en) | 2021-08-30 | 2021-08-30 | Solving method of optimal power distribution scheme of ultrathin battery pack |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113688530B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150188101A1 (en) * | 2013-12-31 | 2015-07-02 | Chervon Intellectual Property Limited | Battery pack |
| CN207896144U (en) * | 2017-12-30 | 2018-09-21 | 广东亿纬赛恩斯新能源系统有限公司 | A kind of power battery box and electric vehicle |
| DE102018216901A1 (en) * | 2018-10-02 | 2020-04-02 | Robert Bosch Gmbh | Battery module subunit and battery module |
| CN111463383A (en) * | 2020-04-10 | 2020-07-28 | 力神动力电池系统有限公司 | Novel soft package lithium ion power battery module structure |
| DE102019111769A1 (en) * | 2019-05-07 | 2020-11-12 | Dr. Ing. H.C. F. Porsche Aktiengesellschaft | Battery module of a high-voltage battery for an electric vehicle |
| CN112406500A (en) * | 2020-12-21 | 2021-02-26 | 厦门金龙汽车新能源科技有限公司 | Solving method for optimal arrangement scheme of bottom battery of pure electric bus |
| WO2021093084A1 (en) * | 2019-11-14 | 2021-05-20 | 惠州亿纬锂能股份有限公司 | Battery module grouping clamp and usage method |
-
2021
- 2021-08-30 CN CN202111006185.3A patent/CN113688530B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150188101A1 (en) * | 2013-12-31 | 2015-07-02 | Chervon Intellectual Property Limited | Battery pack |
| CN207896144U (en) * | 2017-12-30 | 2018-09-21 | 广东亿纬赛恩斯新能源系统有限公司 | A kind of power battery box and electric vehicle |
| DE102018216901A1 (en) * | 2018-10-02 | 2020-04-02 | Robert Bosch Gmbh | Battery module subunit and battery module |
| DE102019111769A1 (en) * | 2019-05-07 | 2020-11-12 | Dr. Ing. H.C. F. Porsche Aktiengesellschaft | Battery module of a high-voltage battery for an electric vehicle |
| WO2021093084A1 (en) * | 2019-11-14 | 2021-05-20 | 惠州亿纬锂能股份有限公司 | Battery module grouping clamp and usage method |
| CN111463383A (en) * | 2020-04-10 | 2020-07-28 | 力神动力电池系统有限公司 | Novel soft package lithium ion power battery module structure |
| CN112406500A (en) * | 2020-12-21 | 2021-02-26 | 厦门金龙汽车新能源科技有限公司 | Solving method for optimal arrangement scheme of bottom battery of pure electric bus |
Non-Patent Citations (2)
| Title |
|---|
| 徐丹;赵晓军;: "锂离子动力电池模组设计浅析", 电源世界, no. 02, 15 February 2017 (2017-02-15) * |
| 王付才;杨海;: "纯电动汽车电池包壳体轻量化材料应用及研究进展", 汽车工艺与材料, no. 09, 11 September 2020 (2020-09-11) * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113688530B (en) | 2024-03-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8673467B2 (en) | Fuel cell vehicle | |
| EP3907846A1 (en) | Power battery pack and electric vehicle | |
| EP1932707B1 (en) | Cooling device for on-vehicle machinery | |
| US9437905B2 (en) | Traction battery thermal plate manifold | |
| CN107946689B (en) | Battery system with external thermal management system | |
| EP2819235B1 (en) | Battery pack temperature control structure for electric vehicles | |
| US20150244037A1 (en) | Traction battery thermal plate with longitudinal channel configuration | |
| US9368845B2 (en) | Traction battery thermal plate with multi pass channel configuration | |
| US9564664B2 (en) | Battery pack temperature control structure for electric vehicles | |
| US9634364B2 (en) | Support structure for traction battery assembly with integrated thermal plate | |
| US10090494B2 (en) | Support structure for battery cells within a traction battery assembly | |
| US20150263397A1 (en) | Side mounted traction battery thermal plate | |
| CN101689804A (en) | Electric vehicle, and method for cooling vehicular dc/dc-converter | |
| CN104272554A (en) | Dual chemistry, battery system for use in plug-in or hybrid electric vehicles | |
| JP6329930B2 (en) | DRIVE DEVICE, TRANSPORTATION DEVICE, AND CONTROL METHOD | |
| JP2012244713A (en) | Fuel cell vehicle | |
| CN107433856A (en) | Pure electric automobile energy management method and system | |
| US20200036067A1 (en) | Battery module and method of forming a battery module housing | |
| US10396411B2 (en) | Traction battery thermal plate with transverse channel configuration | |
| US20150270516A1 (en) | Enhanced fabrication ev battery pack | |
| CN114654988A (en) | Battery pack integrated with vehicle body function and vehicle | |
| US9413047B2 (en) | Assembly to manage contact between battery cell array and thermal interface component of thermal plate | |
| CN113688530A (en) | Solving method for electric quantity optimal matching scheme of ultrathin battery pack | |
| CN108899615A (en) | A kind of Multi-stage heating device and method for heating and controlling based on low temperature plane heat pipe | |
| CN113682121A (en) | Solving method for optimal arrangement scheme of bottom battery of pure electric bus |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |