Patent Grant
9476946
1. Field of the Invention
This invention relates generally to a system and method for estimating a state-of-charge (SOC) of a battery, and, more particularly, to a system and method for estimating the SOC of a battery using changes in the size or pressure of the battery.
2. Discussion of the Related Art
Electric vehicles are becoming more and more prevalent. These vehicles include hybrid vehicles, such as extended range electric vehicles that combine a battery and a main power source, such as an internal combustion engine, fuel cell system, etc., and electric only vehicles, such as battery electric vehicles. All of these types of electric vehicles employ a high voltage battery that can be different battery types, such as lithium-ion, nickel metal hydride, lead acid, etc. The battery system can include individual battery modules where each battery module may include a certain number of battery cells, such as twelve cells.
Because batteries play an important role in powering electric vehicles and hybrid vehicles, effective battery control and power management is essential to vehicle performance, fuel economy, battery life and passenger comfort. Accurate knowledge of the SOC is critical for proper control of the battery system in an electric vehicle to obtain long battery life and good fuel economy. Because the SOC cannot be directly measured while operating the vehicle, a battery controller needs to predict and estimate the SOC in real-time using other battery parameters such as open circuit voltage and current.
It is well known by those skilled in the art that battery dynamics are generally non-linear and highly dependent on battery operating conditions, which means that an accurate estimation of battery SOC cannot be guaranteed. One approach to estimate the SOC of a battery is to monitor the battery's open circuit voltage. In general, the higher the open circuit voltage the higher the SOC. However, open circuit voltage is inherently difficult to use to accurately estimate the SOC because the battery voltage is influenced by many factors, not just SOC, for example, the temperature, short term charging history, long-term vehicle driving history, age of the battery, etc. For most battery cell chemistries, the voltage level decreases only slightly, if at all, as the battery starts discharging. At some point at a lower SOC the voltage level starts to decrease at a faster rate.
Lithium-ion batteries have proven to be promising for hybrid electric vehicles. Estimating the SOC is significantly more challenging for lithium-ion batteries than the older nickel based technology because lithium-ion based batteries maintain their voltage level for a long time even as the SOC drops. The voltage of a lithium ion battery will not change significantly in a range from about 20% to 80% SOC.
Another way the battery controller can estimate SOC is to calculate the electric charge flowing into and out of the battery by integrating the current over time. One problem with this approach is that the estimated SOC drifts away from the real SOC over time. Therefore, the battery controller needs to reset or readjust the estimated SOC periodically to match the real SOC. One way to reset the estimated SOC is to charge the battery to 100%. However, the vehicle driver may charge the battery when the SOC is down to 30%. The driver may charge the battery for the next trip, but at the start of the next trip, the battery might have been recharged only to 70% SOC. The vehicle could then be driven until the battery drains to 40% SOC and then charged again, still not reaching 100% SOC before the vehicle is off on another trip. Given this type of scenario, resetting the SOC when the charge is at 100% is problematic. Another option is to discharge the battery to 0% SOC, but, as with charging to 100% SOC, this is detrimental to the battery.
What is needed is a way to estimate the SOC of a battery that overcomes the limitations of the current SOC estimation techniques.
In accordance with the teachings of the present invention, a system and method for monitoring a state-of-charge (SOC) of a battery are disclosed, where the system includes a sensor and a controller. The sensor provides a measurement signal that can track a nominal volume value by either measuring a dimension or pressure of the battery, where the nominal volume is the volume that the electrolyte, anode, cathode and current collectors would occupy if unconstrained. The controller is programmed to use a function to estimate the SOC from the measurement signal. The function can be established after constructing a charging and discharging curve of the battery that graphs the measurement signal compared to the SOC of the battery and finding a characteristic shape.
Additional features of the present invention will become apparent from the following description and appended claims, taken in conjunction with the accompanying drawings.
The following discussion of the embodiments of the invention directed to monitoring the state-of-charge (SOC) of a battery is merely exemplary in nature, and is in no way intended to limit the invention or its applications or uses. For example, the battery controller techniques discussed below have particular application for electric vehicles and lithium-ion batteries. However, as will be appreciated by those skilled in the art, these SOC estimation techniques may have application for other batteries that do not involve electric vehicles, and use other battery chemistries.
Batteries are made of various chemistries and physical structures, where some battery chemistries are known to change in volume based on battery SOC, for example, expanding as the SOC increases. Lithium-ion batteries provide one example of such expansion and are known to build up pressure when they are in a rigid container because of the lithium-ion movement between cathode and anode. The rigid container has to be strong enough to avoid rupture from the pressure exerted by the expanding lithium-ion electrolyte, anode, cathode and current collectors. One way to avoid having to use a strong structure is to allow the volume to increase by building a battery that is contained within a pouch, also known as a soft pack, that allows the expansion to occur so pressure does not build up.
The pouch battery cell 20 has a preferred pressure that optimizes its operation and is available from the pouch battery cell designer or manufacturer. The container 44 can compress the battery cell set 42 to have a nominal starting pressure based on the preferred pressure.
A set of lithium-ion battery cells was tested in a rigid container and a consistent relationship was found between the change in pressure exerted by a set of lithium-ion pouch battery cells and the SOC of the cells during charging and discharging.
Later, after the fully charged battery module 40 has waited and cooled to a steady state condition, the discharge cycle is started. The pressure starts at point 78. The discharging curve enters a trough 80 where the pressure decreases until the SOC reaches a local minimum at about 60% SOC, at which point the pressure starts to increase until it reaches a local-maximum pressure 82. As the SOC continues to decrease the pressure decreases at a steady rate in region 84 until it reaches the region 68, at less than 10% SOC, where the slope of the discharge continues at the same slope as was seen during earlier charging.
The fact that the battery cell set 42 expands and contracts in a repeatable characteristic pattern can be used to provide an estimated SOC of the battery module 40. Testing showed that a dimension change, particularly the thickness of a pouch cell, which was measured as a change in pressure, can be used to determine the SOC of the battery cell set 42. The characteristic shape may vary in average pressure, but not in shape, and the characteristic feature (local maximum) is always visible in a graph that compares the SOC of the battery module 40 to the pressure while charging or discharging. During operation of the battery module 40, the characteristic feature can be used to determine the SOC of the battery module 40.
There are any number of ways that a battery module can be constructed to measure a change in its nominal volume, where the nominal volume is defined as the volume the electrolyte, anode, cathode and current collectors would occupy if not constrained. A change in the nominal volume can result in a change in a dimension or pressure. The change in size, or dimension, will occur if the size is not constrained. The change in dimension can be monitored with a measurement that includes the size of the cell housing. The change in pressure will occur if the dimension is constrained. A battery can have changes in both dimension and pressure, but one will dominate and that one can be used to estimate the nominal volume, or both the dimension and pressure could be used to estimate the change in nominal volume. There could be a sensor on each battery cell, or one sensor for a group of battery cells, as is shown in the battery module 40. A set of pouch battery cells would produce larger movement then a single pouch battery cell and that could provide increased accuracy in measuring the change in size. Other options are available to measure the nominal volume, for example, a sensor could measure the tension on a band wrapped around a battery cell or a set of cells. Alternatively, a tensioner could keep the band at a constant tension by reeling out and retracting the band as necessary, and then the total length of the band would indicate circumference, which would indicate volume. A band could be useful for other battery designs like cylindrical, prismatic or other. Another option would be to place a pressure sensor inside the metal casing of the battery to measure the pressure. If the temperature of a battery is regulated by a bath of liquid, then the amount of displaced fluid could give an indication of the change in volume of the battery. Many different and alternative configurations and sensors could be used that go well beyond this list to detect the change in nominal volume of the battery to estimate the SOC of the battery.
Although this specification discloses the details for measuring the expansion of a lithium-ion battery, any battery chemistry could be used that results in a change in the nominal volume. Other battery chemistries may have completely different charging and discharging curves. To apply this approach for estimating SOC to other chemistries the steps involved would be to generate the charging and discharging curves by testing and examining the curves for repeatable sections. If there is a repeatable section that provides a characteristic feature, then that characteristic feature could be used as a good location to reset or readjust an electrically estimated SOC of the battery module 40. A characteristic feature is a curve feature that is distinctive enough for an algorithm to determine. Examples of characteristic features would be a local maximum, a local minimum or a point of inflection. The graph 60 shows some examples of characteristic features with the charging local maximum 72 and the discharging local-maximum 82. In one embodiment an algorithm could detect the discharging local-maximum 82 by tracking the pressure when the battery module 40 is discharging and when the pressure switches from increasing to decreasing that would indicate the location of the local-maximum 82.
Traditional electrical SOC estimation techniques of a battery may be more accurate on a local basis, but the physically estimated SOC can be more accurate over time because the physically estimated SOC can be more independent of temperatures and other factors. Because the physically estimated SOC can be more accurate and independent it can be used to reset or readjust an electrically estimated SOC, especially because the electrically estimated SOC drifts away from the real SOC over time.
A battery controller can use the electrically estimated SOC of the battery in combination with the physically estimated SOC to provide a more reliable prediction of the SOC. One approach is to use a characteristic feature to reset or readjust the electrical estimated SOC. It would be good to have a characteristic feature on the pressure/SOC graph to reliably locate the position on the charging or discharging curve. The occurrence of the characteristic feature can be used to reset or readjust the electrically estimated SOC. Looking at the graph 60 there is a characteristic feature of the discharge local-maximum 82. When discharging from a high SOC a controller could use the local-maximum 82 to determine the position on the discharging curve and then reset or readjust the electrical estimated SOC, being confident of the location on the curve.
It is preferred to reset or readjust the SOC of the battery when approaching 0% SOC because a 5% estimation error at 90% is not likely important, however, the same 5% makes a big difference when approaching 0% SOC. For example, a 5% over estimation of a 10% SOC would give the impression to the driver that they can make it the whole 10 miles to refuel at home when the reality is the vehicle can only travel 6.6 miles and the driver will end up stranded on the side of the road.
The foregoing discussion discloses and describes merely exemplary embodiments of the present invention. One skilled in the art will readily recognize from such discussion and from the accompanying drawings and claims that various changes, modifications and variations can be made therein without departing from the spirit and scope of the invention as defined in the following claims.
Give all terms used in the claims their broadest reasonable construction and their ordinary meaning as understood by those skilled in the art. Use of the singular articles such as “a”, “the”, “said”, etc. should be read to recite one or more of the indicated elements.
| Number | Name | Date | Kind |
|---|---|---|---|
| 20110177377 | Dube | Jul 2011 | A1 |
| 20130029185 | Ridley | Jan 2013 | A1 |
| 20140255738 | Adams | Sep 2014 | A1 |
| Number | Date | Country | |
|---|---|---|---|
| 20140333312 A1 | Nov 2014 | US |
