The present disclosure relates to sensitive strain-based state of charge (SOC) monitoring of battery cells, for example, lithium-ion battery cells.
Rechargeable or secondary batteries, such as lithium-ion (Li-ion) batteries may be used in many applications. Electric and hybrid electric vehicles (EVs) may use Li-ion batteries to provide some or all of the propulsive force for the vehicle. Accordingly, it is important to know how much energy is stored in the battery or battery pack. In order to provide for a reliable “fuel” gauge and/or driving range estimates, Li-ion battery packs require accurate state of charge (SOC) monitoring. Typically, SOC monitoring is performed using Coulomb integration or cell voltage measurements. Coulomb integration (or counting) generally involves integrating or aggregating the measured current in/out of a battery to give a relative value of its charge. In the voltage method, the SOC is determined based on measured battery voltage and the use of a voltage-SOC relationship curve or table. However, each of these methods may be subject to different limitations and inaccuracies.
In at least one embodiment, a battery pack is provided. The battery pack may include first and second adjacent battery cells; a strain gauge positioned between the first and second battery cells; and a stress concentrator positioned between the strain gauge and one of the first and second battery cells; the stress concentrator having a first surface contacting the strain gauge and a second surface opposite the first surface, the first surface having an area no greater than an area of the second surface.
A ratio of the area of the second surface to the area of the first surface may be at least 2:1, 5:1, or 25:1. A ratio of an area of a cell wall adjacent to the second surface to the area of the first surface may be from 10:1 to 50,000:1. In one embodiment, a long axis of the stress concentrator is the same or smaller than a length or a width of the strain gauge. The battery pack may include a spacer positioned between one of the first and second battery cells and the strain gauge. In one embodiment, the spacer may be positioned directly between one of the first and second battery cells and the second surface of the stress concentrator. In another embodiment, the spacer may be positioned directly between one of the first and second battery cells and the strain gauge. In one embodiment, the stress concentrator may be a triangular prism, a truncated triangular prism, a rectangular prism, a sphere, or a cylinder.
In at least one embodiment, a battery pack is provided. The battery pack may include first, second, and third adjacent battery cells; a strain gauge positioned between the first and second battery cells; and a stress concentrator positioned between the strain gauge and one of the first and second battery cells; the stress concentrator having a first surface contacting the strain gauge and a second surface opposite the first surface, the first surface having a smaller area than the second surface.
A ratio of the area of the second surface to the area of the first surface may be at least 5:1. The battery pack may include a spacer positioned between one of the first and second battery cells and the strain gauge. A second strain gauge may be positioned between the second and third battery cells. A second stress concentrator may be positioned between the second strain gauge and one of the second and third battery cells. The battery pack may include at least six adjacent battery cells and a plurality of strain gauges and each strain gauge may be positioned between two of the at least six adjacent battery cells. A ratio of battery cells to strain gauges may be at least 2:1 or 5:1.
In at least one embodiment, a strain-based state-of-charge (SOC) monitoring system is provided. The system may include first and second adjacent battery cells; a strain gauge and a stress concentrator positioned between the first and second battery cells; the stress concentrator having a first surface contacting the strain gauge and a second surface opposite the first surface, the first surface having a smaller area than the second surface; and a controller in communication with the strain gauge and configured to receive strain data therefrom.
The system may include at least five adjacent battery cells and a plurality of strain gauges. Each strain gauge may be positioned between two of the at least five adjacent battery cells and in communication with a controller. The controller may be configured to compare the strain data to a stored calibration curve or table. In another embodiment, the controller may be configured to estimate a battery SOC based on the strain data and monitor for battery cell degradation based on the strain data as a function of pressure.
As required, detailed embodiments of the present invention are disclosed herein; however, it is to be understood that the disclosed embodiments are merely exemplary of the invention that may be embodied in various and alternative forms. The figures are not necessarily to scale; some features may be exaggerated or minimized to show details of particular components. Therefore, specific structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a representative basis for teaching one skilled in the art to variously employ the present invention.
With reference to
Li-ion battery anode active materials may be formed of carbonaceous materials, such as graphite (natural, artificial, or surface-modified natural), hard carbon, soft carbon, or Si/Sn-enriched graphite. Non-carbonaceous anode active materials may also be used, such as lithium titanate oxide (LTO), silicon and silicon composites, lithium metal, and nickel oxide (NiO). Li-ion battery cathode active materials may include lithium nickel cobalt aluminum oxide (NCA), lithium nickel manganese cobalt oxide (NMC), lithium manganese spinel oxide (Mn Spinel or LMO), lithium iron phosphate (LFP) and its derivatives lithium mixed metal phosphate (LFMP), and sulfur or sulfur-based materials (e.g., sulfur-carbon composites). In addition, mixtures of any of two or more of these materials may be used. These electrode active materials are merely examples, however, any electrode materials known in the art may be used. Li-ion batteries generally include a liquid electrolyte, which may include a lithium salt and an organic solvent. Examples of lithium salts may include LiPF6, LiBF4 or LiClO4. Suitable organic solvents may include ethylene carbonate (EC), dimethyl carbonate (DMC), ethyl methyl carbonate (EMC), diethyl carbonate (DEC), or mixtures thereof. Li-ion battery separators may be formed of any suitable ionically conductive, electrically insulating material, for example, a polyolefin (e.g., polyethylene or polypropylene).
As described above, typical methods of determining SOC for Li-ion batteries include Coulomb integration or cell voltage measurement. The Coulomb integration method may be subject to errors associated with current sensors. Cell voltage measurement may be particularly challenging for Li-ion chemistry near the middle of the operating range due to a flat midrange voltage-SOC relationship (e.g., the voltage does not change significantly despite the SOC changing). Accordingly, additional approaches to determining a battery SOC that do not include these drawbacks may replace or supplement the typical methods.
In at least one embodiment, a sensitive strain-based approach to monitoring SOC is disclosed. The approach may include the use of one or more strain gauges to monitor the expansion and contraction of one or more cells in a battery back. Charging and discharging of a rechargeable battery (e.g., Li-ion) may cause the electrodes in the cell(s) to expand and contract. For example, the anode of a Li-ion battery (e.g., formed of graphite) may expand by about 10% upon anode charging (e.g., cell charging). The cathode of a Li-ion battery (e.g., formed of NMC) may expand by about 3% upon cathode charging (e.g., cell discharging). Stresses associated with the contraction and expansion of the electrodes may cause the cells to swell or deform. This cell deformation may offer an opportunity for battery SOC monitoring using one or more strain gauges.
With reference to
In at least one embodiment, a strain gauge 36 may be positioned between two adjacent cells 32 in the battery module 30. If the cells 32 are prismatic cells having opposing relatively large walls 38, the cells 32 may be configured within the battery module 30 such that the large wall 38 of one cell 32 is directly adjacent to the large wall 38 of another cell 32 (except for cells at the ends of the battery module 30). In one embodiment, a strain gauge 36 may be positioned between two directly adjacent large walls 38 of two directly adjacent cells 32 (e.g., as shown in
With reference to
The stress concentrator is small compared to the cell wall but may be sized to apply a localized force to the strain gauge's sensitive element(s). The stress concentrator may capture the force generated by cell expansion over the cell wall area and transfers a significant fraction of the force to a small area corresponding to the strain gauge sensitive element surface, thereby concentrating stress. Therefore, assuming a force F due to cell expansion, the force per unit area (or stress) applied to the area of the strain gauge without the stress concentrator is σcw=F/Acw, where Acw is the area of the cell wall on which the force is applied. The stress σcw is uniform across Acw. In contrast, using the disclosed stress concentrator, the stress applied on the strain gauge is dependent on the area Asc of the stress concentrator and is given by σsc=F/Asc, where Asc<<Acw, assuming ideally that all the force is transferred to the stress concentrator. The stress σsc is thus, in principle, greater than that produced without the stress concentrator σcw by a factor Acw/Asc. In practice, due to factors such as deformation of the cell components (cell wall, spacer, concentrator), the concentration factor may not be exactly Acw/Asc but may be proportional to that quantity.
In at least one embodiment, the stress concentrator 42 may be configured to concentrate or amplify the stress or pressure exerted on the strain gauge 36. The stress concentrator 42 may have a first surface 44 configured to contact a wall 38 of a cell 32 or a surface 40 of the spacer 34 and a second surface 46 configured to contact the strain gauge 36. In one embodiment, the first surface 44 may have a larger area than the second surface 46. However, in another embodiment, the surfaces may have the same or similar area. Therefore, a force applied to the first surface 44 may cause the second surface 46 to apply a greater stress or pressure on the strain gauge 36. Accordingly, when a cell 32 deforms due to charging or discharging, the stress applied to the strain gauge 36 by the force of the deformation may be concentrated or amplified, which may amplify the resistive response of the strain gauge 36. The amplified resistive response of the strain gauge 36 may allow it to be more sensitive to small deformations of the cell walls, which may in turn allow more accurate monitoring of the SOC of the cell 32 and/or the overall battery module 30 as the cells expand and contract.
The strain gauge 36 may be any device able to detect the strain of the wall(s) 38 of the cell(s) 32. In at least one embodiment, the strain gauge may be a resistance-based strain gauge, as shown in
With reference to
In the embodiment shown in
While the stress concentrators 42 are shown in
In at least one embodiment, a ratio of the area of the first surface 44 of the stress concentrator 42 to the area of the second surface 46 of the stress concentrator 42 may be at least 2:1, for example, at least 3:1, 5:1, 10:1, 25:1 or 50:1. In another embodiment, a ratio of the area of the adjacent cell wall 38 to the area of the second surface 46 of the stress concentrator 42 may be at least 2:1, for example, at least 3:1, 5:1, 10:1, 25:1, 50:1, 100:1, or 500:1. Stated as ranges, a ratio of the area of the first surface 44 of the stress concentrator 42 or the area of the cell wall 38 to the area of the second surface 46 of the stress concentrator 42 may be from 2:1 to 50,000:1, or any sub-range therein, such as 2:1 to 25,000:1, 10:1 to 10,000:1, 10:1 to 5,000:1, 10:1 to 1,000:1, 10:1 to 500:1, 10:1 to 250:1, 25:1 to 250:1, 25:1 to 100:1, 5:1 to 100:1, or others. As described above, the ratio of the first surface area or the wall surface area to the second surface area may be proportional to the stress amplification by the stress concentrator 42. Accordingly, in at least one embodiment, the stress concentrator 42 may amplify or concentrate the stress exerted on the strain gauge by the deformation of one or more cells by the ratios by the same ratios as above (e.g., at least 2:1, 3:1, 5:1, 10:1, 25:1, or 50:1).
In another embodiment, the first surface 44 may have a long axis (e.g., length) that is the same or smaller than a width and/or length of the strain gauge 36. For example, the first surface 44 may have a long axis (e.g., length) that is from 50% to 100% of a width and/or length of the strain gauge 36, or any sub-range therein, such as 60% to 100%, 70% to 100%, 80% to 100%, 90% to 100%. In another embodiment, the first surface 44 may have a long axis (e.g., length) that is smaller than a width and/or length of the strain gauge 36. For example, the first surface 44 may have a long axis (e.g., length) that is from 50% to 95% of a width and/or length of the strain gauge 36, or any sub-range therein, such as 60% to 95%, 70% to 95%, 80% to 95%, 90% to 95%.
As described above, a battery module 30 may include a plurality of cells 32. In one embodiment, a strain gauge 36 may be positioned between each set of directly adjacent cells 32 (e.g., as shown in
In one embodiment, strain gauges 36 may be distributed throughout the module or the pack such that there is one strain gauge 36 for a certain number of cells 32. For example, a ratio of strain gauges to cells may be determined for a given battery module or pack, such as 1:4 (e.g., 1 strain gauge for every 4 cells). Therefore, in a battery module or pack having 12 cells, there may be three strain gauges distributed within the battery module or pack. For the same battery pack or module, a ratio of 1:6 would mean there would be two strain gauges distributed within the battery pack or module. In the example with 12 cells and a 1:4 ratio, for example, one strain gauge 36 may be placed between the first pair on each end of the module (e.g., in a single-file configuration) and the third may be placed in the middle of the module (e.g., between the 6th and 7th cell). In another embodiment, the strain gauges may be equally spaced or distributed throughout the module or pack (e.g., not necessarily between the end pairs). In one embodiment, the ratio of cells to strain gauges may be at least 2:1, for example, at least 3:1, 4:1, 5:1, 7:1, 10:1, 15:1 or 20:1. For example, the ratio of cells to strain gauges may be from 1:1 to 20:1, or any sub-range therein, such as 2:1 to 20:1, 2:1 to 10:1, 4:1 to 15:1, or 4:1 to 10:1.
With reference to
The strain gauge 106 may be in communication with a controller 112, which may be a battery energy controller module (BECM). The communication may be wired (e.g., through electrical wires) or wireless (e.g., RF, Bluetooth, etc.). If there are a plurality of strain gauges 106 in the system 100, they may each be in communication with a controller 112 (e.g., a single, common controller or separate controllers). The controller(s) 112 may be configured and programmed to receive data from the strain gauge representing the strain at its location within the battery pack. The data may be strain data or data that can be analyzed to determine strain (e.g., resistance). The strain determination may be performed by the controller 112 or it may receive the strain data.
In one embodiment, the strain data may be generated using a Wheatstone bridge 202. A schematic diagram of an electrical system/circuit 200 including a Wheatstone bridge 202 and configured to generate and/or analyze strain data is shown in
The resistors may be divided into two legs, L1 and L2. If the ratio of the two resistances in the known leg is equal to the ratio of the two in the unknown leg, then the voltage between the two midpoints will be zero and no current will flow through a connected galvanometer (not shown). If the bridge is not balanced, the resistance of one of the resistors may be varied (e.g., R2) until the bridge is balanced. Alternatively, if there are no adjustable resistors in the bridge, either the voltage difference across the meter or the current flow through the meter may be used to calculate the value of the unknown resistance.
The system 200 may include other components, such as and analog to digital converter 204, a microprocessor 206, and a differential amplifier 208. Additional resistors may be included in the circuit, such as input buffer source resistors 210, a feedback resistor 212, and a pulldown divider resistor 214. Of course, the components shown and described are examples, and one of ordinary skill in the art will understand that components may be added, removed, relocated, or modified. The components other than the strain gauge (Rx) may located remotely from the battery cell(s), for example, they may be part of a BECM or another controller.
Accordingly, strain-based SOC monitoring systems are disclosed that may detect deformation of battery cells with a very high degree of sensitivity. One or more strain gauges may be attached to the external walls of a Li-ion cell and/or onto a spacer between cells. The sensitivity may be improved with the use of a stress concentrator to amplify the stress generated by the deforming cells due to charge and discharge. The strain gauge(s) may be positioned at various locations within the module or pack arrays. A strain gauge may be positioned between each pair of adjacent cells or there may be one strain gauge for a given number of cells.
The average change in resistance may be correlated with a battery SOC during calibration tests. For example, the calibration tests may include repeated cycling of the battery pack/cell SOC and monitoring the resistance and/or deformation. The cycling may be from 0% to 100% or other ranges. For example, the SOC could by cycled to above 100% (e.g., overcharge), such as to 125% or 150%. The SOC may also be cycled to a minimum that is greater than 0%. The resistance/deformation may be correlated to the SOC using other SOC monitoring techniques, such as Coulomb counting/integration and/or voltage-based methods. For example, Coulomb counting may be used in the middle of the SOC-voltage curve and voltage curves may be used at low and high ends of the SOC-voltage curve. Once a calibration curve is established and recorded, the strain gauge response(s) may be monitored in real time by a BECM or other controller to assess the battery SOC. The monitored SOC may then be used by the BECM to assess SOC, cell expansion, and/or cell pressure based on the stored calibration table or curve. The strain-based approach may be used either in place of, or in addition to, other methods, such as Coulomb integration or voltage measurements.
In order to understand the output of the instrumentation amplifier circuit including a Wheatstone bridge followed by a differential amplifier, whose output may be read by an A/D converter, the relationship of SOC to strain (e.g., as measured by the strain gage element in
As the cell approaches 100% SOC, the strain will increase and the resistance of the strain gage element will change away from Rinit. As charging progresses, the strain gage will change to (Rinit+Delta_R). At a cell SOC of 150%, the A/D counts may change by A2D_DELTA. The gain of the differential amplifier may be selected to attain a large enough A2D_DELTA to have an acceptable signal to noise ratio. Accordingly, based on the present disclosure, one of ordinary skill in the arts may select an appropriate strain gage, Wheatstone bridge circuit, and a correct differential amplifier circuit in order to have an acceptable change in A/D counts, which may lead to an adequate resolution for the overall system. Adequate resolution may mean that the reading from the strain gage from no stress to full stress (corresponding to A2D_INITIAL to A2D_INITIAL+A2D_DELTA) is a large change in A/D counts compared to the noise factors in the system.
Then, the calibration consists of recording A/D counts for known SOC values for the cell, and creating a lookup table from A/D counts back to known SOC's. When the SOC of the cell is low, large changes in the A/D counts are not expected, so this system may not be very sensitive in the range of low SOC's. However, when the cell SOC exceeds for instance 80%, the stress concentrator leads to a measurable strain on the gage, which can be read by the A/D. So at high SOC's for example above 80%, discernable changes in the A/D counts may be seen. So this lookup table later can be used to good effect in measuring SOC's, for instance above 80%.
In addition, to SOC monitoring, the strain gauge data may be used to monitor changes in the cell(s) over time, such as the state of health (SOH) of the cells/pack. For example, the strain gauges may be able to detect slow increases (e.g., linear increases) in pressure or deformation over time due to cell degradation. In such a case, a slow deviation of the strain gauge response outside the calibration curve limits may indicate excessive cell expansion due to gas generation and/or pressure buildup. Upon detection of the expansion, the system may prompt the BECM or another controller to take action to protect the battery, such as readjusting power limits, providing notification to the driver or a technician, or triggering a soft or hard alarm.
The disclosed systems and methods may enable more accurate battery pack operation between SOC limits, optimize battery usage, help maintain SOH, and improve customer satisfaction. Alternatively, the disclosed system and methods may be used as development tools integrated to test equipment. In this case, the disclosed system and methods can lead to refined battery testing methods and/or the development of improved batteries or cell management strategies.
Furthermore, the disclosed system and methods may allow for improved utilization of the full capacity of a battery. This is possible because they allow usage near the true 100% and 0% charge capacities, without concerns about exceeding the cell capability. In turn, this may allow for the use of a lower cost, lighter, and/or smaller battery for a given vehicle application. The use of pressure measurement in the disclosed system and methods may provide for additional simplification and cost reduction in the cell voltage measurement electronics, as the pressure can be used as a redundant and independent backup indicator.
The disclosed system and methods may be complementary to Coulomb integration or voltage measurement based sensing techniques. For example, if a cell voltage read system fails, a conventional system may initiate a timer to shut down the battery. This timer delay may be included because the cell state is unknown in these failure circumstances. However, if there is a measurement of pressure which covers groups of cells, then it may be possible to have knowledge of the cell state. For example, by knowing the pressure, it may be possible to know that the cells are not about to fail, and whether they are being damaged by their usage. This may allow a vehicle to travel farther when an error occurs in one of the SOC systems, since the strain-based measurement can sense if damage is occurring.
The disclosed system and methods may provide a complementary SOC measurement based on the fact that electrodes experience volume changes upon charge and discharge. These volume changes may create a pressure-correlated stress field on the cells, which are measurable with strain gauge(s) and the disclosed stress concentrator(s). Based on a pre-determined pressure-SOC correlation curve, SOC can be estimated based on the measured volume changes. The strain gauge signal may be fed into the BECM, in addition to voltage and/or ampere-hour inputs, therefore providing for complementary and independent measurements that may be used for a more accurate SOC description and improved battery usage. In one embodiment, the pressure-SOC correlation curve may be adjusted based on the current temperature of the battery cells or pack. For example, temperature sensors, such as thermistors, may be included in the battery pack and may feed temperature data to the BECM. The BECM may then compensate for the temperature and adjust the SOC determination. Alternatively, multiple pressure-SOC correlation curves may be generated at different temperatures.
As described above, the disclosed system and methods may provide an indication of cell degradation. Cell degradation may be associated with electrolyte decomposition into gaseous products, which may lead to cell internal pressure buildup and gradual cell deformation. The pressure buildup may thus be expected to produce a characteristic irreversible shift (or offset) in the pressure-SOC correlation curve, which may otherwise be reversible. This shift or offset can be converted into a cell pressure and compared against a known cell vent pressure threshold (e.g., about 125 psig) to optimize battery management, such as the Limiting Operating Strategy (LOS). Voltage and/or ampere-hour based monitoring alone may not be suitable tools to assess electrolyte decomposition and predict cell venting. This approach may also identify or detect cell aging.
While the battery and SOC monitoring systems have been shown and described above with respect to prismatic cells, one of ordinary skill in the art will understand that, based on the present disclosure, other types of cells may also be used. For example, any combination of cylindrical, button, or pouch cells may replace some or all of the prismatic cells. One of ordinary skill in the art will understand, based on the present disclosure, that modifications to the SOC monitoring system may be made to accommodate different cell types. For example, a pouch cell may expand and contract to a larger degree than a prismatic cell. Accordingly, the SOC calibration curve may be based on the type of cell in the battery pack. The type of cell used in the battery pack may be stored in the BECM or elsewhere in the SOC monitoring system.
While exemplary embodiments are described above, it is not intended that these embodiments describe all possible forms of the invention. Rather, the words used in the specification are words of description rather than limitation, and it is understood that various changes may be made without departing from the spirit and scope of the invention. Additionally, the features of various implementing embodiments may be combined to form further embodiments of the invention.