将电池比喻为蓄水池,则系统统计的(DrainType)就是不同类型的排水。
wakeLock 耗电计算
1 | public WakelockPowerCalculator(PowerProfile profile) { |
wakelock 阻止cpu进入休眠,所以使用了cpu_awake的值进行计算。
首先获得Wakelock的数量,然后逐个遍历得到每个Wakelock对象,得到该对象后,得到BatteryStats.WAKE_TYPE_PARTIAL的唤醒时间,然后累加,其实wakelock有4种,为什么只取partial的时间,具体代码google也没解释的很清楚,只是用一句注释打发了我们。得到总时间后,就可以与构造方法中的单位时间waklock消耗电量相乘得到Wakelock消耗的总电量。
Q:为啥app下有wifi耗电,还要单独一个DrainType统计wifi耗电,是否是重复统计?所有的app和硬件耗电相加为啥是100%?
A:系统会先计算app耗电,将归属在对应uid下面的耗电先计算出来,后再将剩余电量计算出来并归属于对应硬件。以wifi为例:1
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72public WifiPowerCalculator(PowerProfile profile) {
mIdleCurrentMa = profile.getAveragePower(PowerProfile.POWER_WIFI_CONTROLLER_IDLE);
mTxCurrentMa = profile.getAveragePower(PowerProfile.POWER_WIFI_CONTROLLER_TX);
mRxCurrentMa = profile.getAveragePower(PowerProfile.POWER_WIFI_CONTROLLER_RX);
}
@Override
public void calculateApp(BatterySipper app, BatteryStats.Uid u, long rawRealtimeUs,
long rawUptimeUs, int statsType) {
//获取对应uid下的counter
final BatteryStats.ControllerActivityCounter counter = u.getWifiControllerActivity();
if (counter == null) {
return;
}
//对应uid下的time
final long idleTime = counter.getIdleTimeCounter().getCountLocked(statsType);
final long txTime = counter.getTxTimeCounters()[0].getCountLocked(statsType);
final long rxTime = counter.getRxTimeCounter().getCountLocked(statsType);
app.wifiRunningTimeMs = idleTime + rxTime + txTime;
//已经计算的应用的wifi总耗时
mTotalAppRunningTime += app.wifiRunningTimeMs;
//计算对应uid的app耗电
app.wifiPowerMah =
((idleTime * mIdleCurrentMa) + (txTime * mTxCurrentMa) + (rxTime * mRxCurrentMa))
/ (1000*60*60);
//已经计算的应用的wifi总耗电
mTotalAppPowerDrain += app.wifiPowerMah;
app.wifiRxPackets = u.getNetworkActivityPackets(BatteryStats.NETWORK_WIFI_RX_DATA,
statsType);
app.wifiTxPackets = u.getNetworkActivityPackets(BatteryStats.NETWORK_WIFI_TX_DATA,
statsType);
app.wifiRxBytes = u.getNetworkActivityBytes(BatteryStats.NETWORK_WIFI_RX_DATA,
statsType);
app.wifiTxBytes = u.getNetworkActivityBytes(BatteryStats.NETWORK_WIFI_TX_DATA,
statsType);
if (DEBUG && app.wifiPowerMah != 0) {
Log.d(TAG, "UID " + u.getUid() + ": idle=" + idleTime + "ms rx=" + rxTime + "ms tx=" +
txTime + "ms power=" + BatteryStatsHelper.makemAh(app.wifiPowerMah));
}
}
//这个方法是在所有app耗电计算完成后调用的
@Override
public void calculateRemaining(BatterySipper app, BatteryStats stats, long rawRealtimeUs,
long rawUptimeUs, int statsType) {
//获取总counter
final BatteryStats.ControllerActivityCounter counter = stats.getWifiControllerActivity();
final long idleTimeMs = counter.getIdleTimeCounter().getCountLocked(statsType);
final long txTimeMs = counter.getTxTimeCounters()[0].getCountLocked(statsType);
final long rxTimeMs = counter.getRxTimeCounter().getCountLocked(statsType);
//计算剩余的time
app.wifiRunningTimeMs = Math.max(0,
(idleTimeMs + rxTimeMs + txTimeMs) - mTotalAppRunningTime);
double powerDrainMah = counter.getPowerCounter().getCountLocked(statsType)
/ (double)(1000*60*60);
if (powerDrainMah == 0) {
// Some controllers do not report power drain, so we can calculate it here.
powerDrainMah = ((idleTimeMs * mIdleCurrentMa) + (txTimeMs * mTxCurrentMa)
+ (rxTimeMs * mRxCurrentMa)) / (1000*60*60);
}
//计算剩余的耗电
app.wifiPowerMah = Math.max(0, powerDrainMah - mTotalAppPowerDrain);
if (DEBUG) {
Log.d(TAG, "left over WiFi power: " + BatteryStatsHelper.makemAh(app.wifiPowerMah));
}
}
IDLE计算
不知道IDLE计算啥原理1
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8mTypeBatteryUptimeUs = mStats.computeBatteryUptime(rawUptimeUs, mStatsType);
mTypeBatteryRealtimeUs = mStats.computeBatteryRealtime(rawRealtimeUs, mStatsType)
final double suspendPowerMaMs = (mTypeBatteryRealtimeUs / 1000) *
mPowerProfile.getAveragePower(PowerProfile.POWER_CPU_IDLE);
final double idlePowerMaMs = (mTypeBatteryUptimeUs / 1000) *
mPowerProfile.getAveragePower(PowerProfile.POWER_CPU_AWAKE);
final double totalPowerMah = (suspendPowerMaMs + idlePowerMaMs) / (60 * 60 * 1000);
1 | /** |
CPU 计算
CPU 部分没有remaining1
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33public void calculateApp(BatterySipper app, BatteryStats.Uid u, long rawRealtimeUs,
long rawUptimeUs, int statsType) {
app.cpuTimeMs = (u.getUserCpuTimeUs(statsType) + u.getSystemCpuTimeUs(statsType)) / 1000;
// Aggregate total time spent on each cluster.
long totalTime = 0;
final int numClusters = mProfile.getNumCpuClusters();
for (int cluster = 0; cluster < numClusters; cluster++) {
final int speedsForCluster = mProfile.getNumSpeedStepsInCpuCluster(cluster);
for (int speed = 0; speed < speedsForCluster; speed++) {
totalTime += u.getTimeAtCpuSpeed(cluster, speed, statsType);
}
}
totalTime = Math.max(totalTime, 1);
double cpuPowerMaMs = 0;
for (int cluster = 0; cluster < numClusters; cluster++) {
final int speedsForCluster = mProfile.getNumSpeedStepsInCpuCluster(cluster);
for (int speed = 0; speed < speedsForCluster; speed++) {
//获取对应cluster,对应speed下所使用时间的比例
final double ratio = (double) u.getTimeAtCpuSpeed(cluster, speed, statsType) /
totalTime;
final double cpuSpeedStepPower = ratio * app.cpuTimeMs *
mProfile.getAveragePowerForCpu(cluster, speed);
if (DEBUG && ratio != 0) {
Log.d(TAG, "UID " + u.getUid() + ": CPU cluster #" + cluster + " step #"
+ speed + " ratio=" + BatteryStatsHelper.makemAh(ratio) + " power="
+ BatteryStatsHelper.makemAh(cpuSpeedStepPower / (60 * 60 * 1000)));
}
cpuPowerMaMs += cpuSpeedStepPower;
}
}
app.cpuPowerMah = cpuPowerMaMs / (60 * 60 * 1000);
OVERCOUNTED,UNACCOUNTED 计算
1 | mMinDrainedPower = (mStats.getLowDischargeAmountSinceCharge() |