The present invention relates to a method and a device for detecting the operating state of a vehicle battery.
Vehicle batteries are frequently operated with a state of charge (SOC) below the maximum possible state of charge. This can be done unintentionally (for example as a result of an existing incorrect ratio between the charging requirement and the possible charging, for example in the high load operating mode or after a relatively long stationary time of the vehicle) or else intentionally, if, for example, the possibility of the vehicle battery absorbing charge is to be increased in a micro-hybrid drive train.
Basically, it is very important to detect the state of charge (SOC) and battery capacity as precisely as possible since they constitute input signals for the control strategy. However, in numerous battery technologies, for example lead/acid batteries, the problem occurs that both the state of charge and the battery capacity are not accessible to direct measurement. On the other hand, it is known that both the battery capacity (due to manufacturing tolerances, aging processes and replacement of the battery) and algorithms for detecting the state of charge (which include, for example, the detection of the characteristic equilibrium voltage of the battery as a function of the state of charge) are subject to severe fluctuations.
EP 1 324 062 B1 discloses a method for detecting the operating state of a vehicle battery in which a temperature variable which correlates with the battery temperature is measured, and the state of charge and a further state variable (for example the internal resistance of the vehicle battery) are detected. Then, a reference value is formed from the relationship between the detected state variable and a corresponding state variable of a new vehicle battery of the same type, the current state of ageing of the vehicle battery is determined from the reference value and the known comparison reference values for the measured temperature variable and the detected state of charge, and a predicted state variable which corresponds to the detected state variable is determined as a measure of the operating state.
U.S. Pat. No. 6,583,599 B1 discloses a method and a device for controlling the battery charge in a hybrid electric vehicle, wherein the control device has eight battery state of charge threshold values which determine the hybrid operating mode of the hybrid electric vehicle, and wherein the value of the state of charge of the battery with respect to the threshold values is a factor for determining the hybrid mode, for example regenerative braking, charging, discharging the battery or boosting of the torque.
EP 0 718 950 A2 discloses a generator control device of a hybrid electric vehicle in which, in particular, a setpoint value control of the state of charge (SOC) of the battery is performed within a setpoint range by actively discharging or charging the battery.
EP 0 645 278 B1 discloses a generator controller for controlling operation of a generator in a hybrid vehicle, in which the state of charge of the battery is controlled within a predetermined setpoint range, wherein the output power of the generator is used to charge the battery for a specific time period if a high load state of the battery is sensed.
An object of the present invention is to make available a method and a device for detecting the operating state of a vehicle battery by means of which the operating state can be determined with the highest possible degree of precision and consistency.
This object is achieved by means of a method having the features according to independent claim 1 and a device having the features according to independent claim 10. Further refinements of the invention can be found in the description and the subclaims.
A method for detecting the operating state of a vehicle battery has the following steps:
The vehicle battery is typically included in a power supply system of the vehicle, which power supply system has a battery monitoring system (BMS) with a plurality of sensors (for example sensors for the battery voltage and/or the battery current and/or the battery temperature), wherein this battery monitoring system (BMS) is configured to implement an algorithm which calculates state parameters which are characteristic of the operating state, for example the state of charge (SOC) and the battery capacity. Since, according to the invention, the variable which is characteristic of the operating state of the battery is determined after active discharging of the battery, the battery monitoring system (BMS) is provided with the opportunity of improving the internal capacity model on the basis of the discharge behavior, as a result of which the precision and consistency when detecting the operating state can be increased.
According to one preferred embodiment, after the third state of charge has been reached, a current pulse is applied, during which the discharge current equals at least twice, preferably at least three times, and even more preferably at least four times, the charge current during the transition from the first state of charge into the second state of charge, which permits the algorithm for detecting the operating state of the battery to be supported.
In a further advantageous embodiment, after the third state of charge has been reached, a current pulse is applied during which the charge current equals at least the two-hour discharge current, in particular the one-hour discharge current of the battery. In this context, the two-hour charge current is defined as the computational discharge current which occurs when the battery capacity is divided by a time period of two hours. Given a battery capacity of, for example, 80 ah, the two-hour discharge current would accordingly be 40 A. The one-hour discharge current is calculated in an analogous fashion, and in this case it then equals 80 A. These relatively high discharge currents ensure that the algorithm for detecting the operating state of the battery is supported.
According to one preferred embodiment, initiation and/or termination of the charging from the first state of charge to the second state of charge takes place as a function of the temperature. This makes it possible to ensure that refreshing of the state of charge which takes place according to the invention occurs, for example, only if the battery temperature is above a specific threshold value.
According to one preferred embodiment, after the battery has been charged to the second state of charge and/or after it has been charged the third state of charge, said battery is kept at the respective state of charge for a predetermined time period. In this way, the battery monitoring system (BMS) can be provided with the opportunity of re-calibrating its internal SOC model until, for example, it is possible to determine the open-circuit voltage of the battery in a reliable manner.
The invention will be explained in more detail below using preferred embodiments and with reference to the appended figures, of which:
The method according to the invention is applied to a vehicle battery which is included in the power supply system of the vehicle, this power supply system having the following components:
The invention makes available a method for improving the precision and consistency of the state parameters, such as for example the state of charge (SOC) and the battery capacity, which are supplied by the battery monitoring system (BMS) and are characteristic of the operating state.
The individual phases of the method according to the invention will be explained in detail below with reference to
In the phase which is denoted by “I” in
In the subsequent step (phase “II” according to
A correspondingly high charge voltage is applied for several hours, which can also occur with an interruption, depending on the operating state of the vehicle, for example ignition deactivation. This ensures that the battery reaches the maximum possible state of charge (SOC) under the respective given conditions. This maximum state of charge (SOC) may be less than 100% of the standard capacity since the charge voltage and the charge time are limited in the vehicle. The charge voltage and duration of the charge period which occurs with the high priority are preferably regulated by the battery monitoring system (BMS). This can be achieved by means of a voltage setpoint value and a “refresh charge request” flag.
Measures for optimizing charging the battery can optionally be taken by means of the power distribution management (PDM) system. In particular, for example the load power can be reduced during the high-voltage charging period if the generator is being fully utilized. Furthermore, functions which can contribute to discharging of the battery, for example the stop/start function and similar vehicle functions, can be deactivated.
As is apparent from
The phase “III” according to
In this phase “III” the battery is discharged into the electrical loads in the vehicle at a significant rate according to the regulation process by means of the energy management system. The battery current is negative (according to the right-hand scale and the dashed curve in
As is apparent from
During the phase “IV” in which the battery is at the relatively low SOC level, a high current pulse is required in order to support the algorithm for determining the operating state of the battery. In the exemplary embodiment shown, according to
To conclude, a reversal occurs with respect to the normal settings, for example with respect to a (for example) relatively high setpoint value of the state of charge (SOC). During the phase “VI”, according to
Furthermore, after one or more trigger events have occurred, the steps provided according to the invention can also be postponed or delayed if one or more of the following postponement conditions are met:
According to one preferred refinement of the invention, a refresh cycle (during which the battery is completely charged and which is initiated periodically in order to increase the lifetime of, for example, a lead/acid battery) takes place as a function of temperature. In particular, both the initiation of such a refresh cycle and the duration of the refresh cycle are dependent on temperature.
As far as the initiation of the refresh cycle is concerned, it is preferably carried out only if one of the following three conditions is met:
Tbat>T1; or i)
T2<Tbat<T1 und G>G1>0; or t ii)
Here, Tbat denote the battery temperature, G denotes the battery temperature gradient and T1, T2, G1 and t1 denote predetermined threshold values of the battery temperature, of the battery temperature gradient and of the duration of the refresh cycle, respectively.
In other words, in order to initiate the refresh cycle, the value of the battery temperature must either be above a specific, first threshold value or it must be above a specific, second lower threshold value, in which case the temperature gradient must at the same time be above a specific positive threshold value (G1). If none of these two conditions a) and b) is met, the refresh cycle is not triggered until after a specific time period t1 has expired or a specific time window has been exited.
Basically, the refresh cycle is also initiated here on the basis of the battery monitoring system (BMS) based on the lifetime of the battery and/or its charge throughput, but if the corresponding integral limits for a predefined time window are reached, both the battery temperature and the temperature gradient are measured so that the actual implementation of the refresh cycle does not take place until one of the conditions a), b) or c) is met.
As far as the termination of the refresh cycle is concerned, it also preferably takes place as a function of the temperature. In this case the refresh time is limited as a function of the temperature. It is to be noted in this context that this refresh time is counted only during phases or periods in which the charge current and battery voltage are within defined limits, as illustrated in
In this context, according to
1 h at 5° C.: weighted time period=1 h*15 h/15 h=1 h
1 h at 20° C.: weighted time period=1 h*15 h/9 h=1.67 h
1 h at 50° C.: weighted time period=1 h*15 h/3 h=5 h
The sum of these weighted time periods is therefore 7.67 h. The refresh cycle is terminated as soon as said sum of the weighted time periods is greater than the maximum time period in the t(T) curve (i.e. greater than 15 h in the example).
Number | Date | Country | Kind |
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102008034461.3 | Jul 2008 | DE | national |