在分析PowerUsageSummary
的时候,其实可以发现主要获取应用和服务电量使用情况的实现是在BatteryStatsHelper.java
中
还是在线网站http://androidxref.com/上对Android版本6.0.1_r10源码进行分析
具体位置在 /frameworks/base/core/java/com/android/internal/os/BatteryStatsHelper.java
create方法
查看构造方法
public BatteryStatsHelper(Context context) {
this(context, true);
}
public BatteryStatsHelper(Context context, boolean collectBatteryBroadcast) {
this(context, collectBatteryBroadcast, checkWifiOnly(context));
}
public BatteryStatsHelper(Context context, boolean collectBatteryBroadcast, boolean wifiOnly) {
mContext = context;
mCollectBatteryBroadcast = collectBatteryBroadcast;
mWifiOnly = wifiOnly;
}
设置是否需要注册BATTERY_CHANGED
驻留广播,该广播监听系统电池电量和充电状态
mCollectBatteryBroadcast = collectBatteryBroadcast;
设备是否只有wifi,无移动网络,比如说平板或者车机,有的就是不能插SIM卡的
mWifiOnly = wifiOnly;
查看create方法
public void create(BatteryStats stats) {
mPowerProfile = new PowerProfile(mContext);
mStats = stats;
}
public void create(Bundle icicle) {
if (icicle != null) {
mStats = sStatsXfer;
mBatteryBroadcast = sBatteryBroadcastXfer;
}
mBatteryInfo = IBatteryStats.Stub.asInterface(
ServiceManager.getService(BatteryStats.SERVICE_NAME));
mPowerProfile = new PowerProfile(mContext);
}
其中都获取了PowerProfile对象
mPowerProfile = new PowerProfile(mContext);
PowerProfile创建
持续跟进
public PowerProfile(Context context) {
// Read the XML file for the given profile (normally only one per
// device)
if (sPowerMap.size() == 0) {
readPowerValuesFromXml(context);
}
initCpuClusters();
}
可以看到这里有一段注释: Read the XML file for the given profile (normally only one perdevice
跟进readPowerValuesFromXml
方法,其实这个方法就是用来解析power_profile.xml
文件的,该文件在源码中的位置为 /frameworks/base/core/res/res/xml/power_profile.xml
,power_profile.xml
是一个可配置的功耗数据文件
private void readPowerValuesFromXml(Context context) {
int id = com.android.internal.R.xml.power_profile;
final Resources resources = context.getResources();
XmlResourceParser parser = resources.getXml(id);
boolean parsingArray = false;
ArrayList<Double> array = new ArrayList<Double>();
String arrayName = null;
try {
// ....
在这里需要提一下Android中对于应用和硬件的耗电量计算方式:
有一张“价格表”,记录每种硬件1秒钟耗多少电。有一张“购物清单”,记录apk使用了哪几种硬件,每种硬件用了多长时间。假设某个应用累计使用了60秒的cpu,cpu1秒钟耗1mAh,那这个应用就消耗了60mAh的电
这里的价格表就是我们找到的power_profile.xml
文件,手机的硬件是各不相同的,所以每一款手机都会有一张自己的"价格表",这张表的准确性由手机厂商负责。
这也是为什么我们碰到读取xml文件的时候注释里面会有normally only one perdevice
如果我们想要看自己手机的power_profile.xml文件咋办,它会存储在手机的/system/framework/framework-res.apk
路径中,我们可以将它pull出来,通过反编译的手法获得power_profile.xml
文件
refreshStats方法
接着可以看到重载的refreshStats
/**
* Refreshes the power usage list.
*/
public void refreshStats(int statsType, int asUser) {
SparseArray<UserHandle> users = new SparseArray<>(1);
users.put(asUser, new UserHandle(asUser));
refreshStats(statsType, users);
}
/**
* Refreshes the power usage list.
*/
public void refreshStats(int statsType, List<UserHandle> asUsers) {
final int n = asUsers.size();
SparseArray<UserHandle> users = new SparseArray<>(n);
for (int i = 0; i < n; ++i) {
UserHandle userHandle = asUsers.get(i);
users.put(userHandle.getIdentifier(), userHandle);
}
refreshStats(statsType, users);
}
/**
* Refreshes the power usage list.
*/
public void refreshStats(int statsType, SparseArray<UserHandle> asUsers) {
refreshStats(statsType, asUsers, SystemClock.elapsedRealtime() * 1000,
SystemClock.uptimeMillis() * 1000);
}
refreshStats
是刷新电池使用数据的接口,向上提供数据,其中的具体实现在
public void refreshStats(int statsType, SparseArray<UserHandle> asUsers, long rawRealtimeUs,
long rawUptimeUs) {
// Initialize mStats if necessary.
getStats();
mMaxPower = 0;
mMaxRealPower = 0;
mComputedPower = 0;
mTotalPower = 0;
mUsageList.clear();
mWifiSippers.clear();
mBluetoothSippers.clear();
mUserSippers.clear();
mMobilemsppList.clear();
if (mStats == null) {
return;
}
if (mCpuPowerCalculator == null) {
mCpuPowerCalculator = new CpuPowerCalculator(mPowerProfile);
}
mCpuPowerCalculator.reset();
if (mWakelockPowerCalculator == null) {
mWakelockPowerCalculator = new WakelockPowerCalculator(mPowerProfile);
}
mWakelockPowerCalculator.reset();
if (mMobileRadioPowerCalculator == null) {
mMobileRadioPowerCalculator = new MobileRadioPowerCalculator(mPowerProfile, mStats);
}
mMobileRadioPowerCalculator.reset(mStats);
// checkHasWifiPowerReporting can change if we get energy data at a later point, so
// always check this field.
final boolean hasWifiPowerReporting = checkHasWifiPowerReporting(mStats, mPowerProfile);
if (mWifiPowerCalculator == null || hasWifiPowerReporting != mHasWifiPowerReporting) {
mWifiPowerCalculator = hasWifiPowerReporting ?
new WifiPowerCalculator(mPowerProfile) :
new WifiPowerEstimator(mPowerProfile);
mHasWifiPowerReporting = hasWifiPowerReporting;
}
mWifiPowerCalculator.reset();
final boolean hasBluetoothPowerReporting = checkHasBluetoothPowerReporting(mStats,
mPowerProfile);
if (mBluetoothPowerCalculator == null ||
hasBluetoothPowerReporting != mHasBluetoothPowerReporting) {
mBluetoothPowerCalculator = new BluetoothPowerCalculator(mPowerProfile);
mHasBluetoothPowerReporting = hasBluetoothPowerReporting;
}
mBluetoothPowerCalculator.reset();
if (mSensorPowerCalculator == null) {
mSensorPowerCalculator = new SensorPowerCalculator(mPowerProfile,
(SensorManager) mContext.getSystemService(Context.SENSOR_SERVICE));
}
mSensorPowerCalculator.reset();
if (mCameraPowerCalculator == null) {
mCameraPowerCalculator = new CameraPowerCalculator(mPowerProfile);
}
mCameraPowerCalculator.reset();
if (mFlashlightPowerCalculator == null) {
mFlashlightPowerCalculator = new FlashlightPowerCalculator(mPowerProfile);
}
mFlashlightPowerCalculator.reset();
mStatsType = statsType;
mRawUptime = rawUptimeUs;
mRawRealtime = rawRealtimeUs;
mBatteryUptime = mStats.getBatteryUptime(rawUptimeUs);
mBatteryRealtime = mStats.getBatteryRealtime(rawRealtimeUs);
mTypeBatteryUptime = mStats.computeBatteryUptime(rawUptimeUs, mStatsType);
mTypeBatteryRealtime = mStats.computeBatteryRealtime(rawRealtimeUs, mStatsType);
mBatteryTimeRemaining = mStats.computeBatteryTimeRemaining(rawRealtimeUs);
mChargeTimeRemaining = mStats.computeChargeTimeRemaining(rawRealtimeUs);
if (DEBUG) {
Log.d(TAG, "Raw time: realtime=" + (rawRealtimeUs/1000) + " uptime="
+ (rawUptimeUs/1000));
Log.d(TAG, "Battery time: realtime=" + (mBatteryRealtime/1000) + " uptime="
+ (mBatteryUptime/1000));
Log.d(TAG, "Battery type time: realtime=" + (mTypeBatteryRealtime/1000) + " uptime="
+ (mTypeBatteryUptime/1000));
}
mMinDrainedPower = (mStats.getLowDischargeAmountSinceCharge()
* mPowerProfile.getBatteryCapacity()) / 100;
mMaxDrainedPower = (mStats.getHighDischargeAmountSinceCharge()
* mPowerProfile.getBatteryCapacity()) / 100;
processAppUsage(asUsers);
// Before aggregating apps in to users, collect all apps to sort by their ms per packet.
for (int i=0; i<mUsageList.size(); i++) {
BatterySipper bs = mUsageList.get(i);
bs.computeMobilemspp();
if (bs.mobilemspp != 0) {
mMobilemsppList.add(bs);
}
}
for (int i=0; i<mUserSippers.size(); i++) {
List<BatterySipper> user = mUserSippers.valueAt(i);
for (int j=0; j<user.size(); j++) {
BatterySipper bs = user.get(j);
bs.computeMobilemspp();
if (bs.mobilemspp != 0) {
mMobilemsppList.add(bs);
}
}
}
Collections.sort(mMobilemsppList, new Comparator<BatterySipper>() {
@Override
public int compare(BatterySipper lhs, BatterySipper rhs) {
return Double.compare(rhs.mobilemspp, lhs.mobilemspp);
}
});
processMiscUsage();
Collections.sort(mUsageList);
// At this point, we've sorted the list so we are guaranteed the max values are at the top.
// We have only added real powers so far.
if (!mUsageList.isEmpty()) {
mMaxRealPower = mMaxPower = mUsageList.get(0).totalPowerMah;
final int usageListCount = mUsageList.size();
for (int i = 0; i < usageListCount; i++) {
mComputedPower += mUsageList.get(i).totalPowerMah;
}
}
if (DEBUG) {
Log.d(TAG, "Accuracy: total computed=" + makemAh(mComputedPower) + ", min discharge="
+ makemAh(mMinDrainedPower) + ", max discharge=" + makemAh(mMaxDrainedPower));
}
mTotalPower = mComputedPower;
if (mStats.getLowDischargeAmountSinceCharge() > 1) {
if (mMinDrainedPower > mComputedPower) {
double amount = mMinDrainedPower - mComputedPower;
mTotalPower = mMinDrainedPower;
BatterySipper bs = new BatterySipper(DrainType.UNACCOUNTED, null, amount);
// Insert the BatterySipper in its sorted position.
int index = Collections.binarySearch(mUsageList, bs);
if (index < 0) {
index = -(index + 1);
}
mUsageList.add(index, bs);
mMaxPower = Math.max(mMaxPower, amount);
} else if (mMaxDrainedPower < mComputedPower) {
double amount = mComputedPower - mMaxDrainedPower;
// Insert the BatterySipper in its sorted position.
BatterySipper bs = new BatterySipper(DrainType.OVERCOUNTED, null, amount);
int index = Collections.binarySearch(mUsageList, bs);
if (index < 0) {
index = -(index + 1);
}
mUsageList.add(index, bs);
mMaxPower = Math.max(mMaxPower, amount);
}
}
}
我们依次分析
SparseArray<UserHandle> asUsers
UserHanler代表设备上的一个用户long rawRealtimeUs
系统开机后的运行时间long rawUptimeUs
系统不包括休眠的运行时间
public void refreshStats(int statsType, SparseArray<UserHandle> asUsers, long rawRealtimeUs,
long rawUptimeUs) {
初始化Stats操作
getStats()
如果mStats为空,则初始化
public BatteryStats getStats() {
if (mStats == null) {
load();
}
return mStats;
}
mMaxPower = 0; // 最大耗电量
mMaxRealPower = 0; // 最大真实耗电量
mComputedPower = 0; // 通过耗电计算器计算的耗电量总和
mTotalPower = 0; // 总的耗电量
刷新耗电量之前需要先清空之前的数据,clear都是清空操作
mUsageList.clear(); // 存储了BatterySipper列表,各类耗电量都存储在BatterySipper中,BatterySipper存储在mUsageList中
mWifiSippers.clear(); // 在统计软件耗电过程中使用到WIFI的应用,其对应的BatterySipper列表
mBluetoothSippers.clear(); // 在统计软件耗电过程中使用到BlueTooth的应用,其对应的BatterySipper列表
mUserSippers.clear(); // 设备上有多个用户时,存储了其他用户的耗电信息的SparseArray数据,键为userId,值为对应的List<BatterySipper>
mMobilemsppList.clear(); // 存储有数据接收和发送的BatterySipper对象的列表
初始化八大模块的耗电计算器,都继承于PowerCalculator
抽象类,八大模块在processAppUsage
方法中进行分析,这里只需要知道有哪八个以及进行的操作是初始化即可
计算项 | Class文件 |
---|---|
CPU功耗 | mCpuPowerCalculator.java |
Wakelock功耗 | mWakelockPowerCalculator.java |
无线电功耗 | mMobileRadioPowerCalculator.java |
WIFI功耗 | mWifiPowerCalculator.java |
蓝牙功耗 | mBluetoothPowerCalculator.java |
Sensor功耗 | mSensorPowerCalculator.java |
相机功耗 | mCameraPowerCalculator.java |
闪光灯功耗 | mFlashlightPowerCalculator.java |
if (mCpuPowerCalculator == null) {
mCpuPowerCalculator = new CpuPowerCalculator(mPowerProfile);
}
mCpuPowerCalculator.reset();
if (mWakelockPowerCalculator == null) {
mWakelockPowerCalculator = new WakelockPowerCalculator(mPowerProfile);
}
mWakelockPowerCalculator.reset();
if (mMobileRadioPowerCalculator == null) {
mMobileRadioPowerCalculator = new MobileRadioPowerCalculator(mPowerProfile, mStats);
}
mMobileRadioPowerCalculator.reset(mStats);
// checkHasWifiPowerReporting can change if we get energy data at a later point, so
// always check this field.
final boolean hasWifiPowerReporting = checkHasWifiPowerReporting(mStats, mPowerProfile);
if (mWifiPowerCalculator == null || hasWifiPowerReporting != mHasWifiPowerReporting) {
mWifiPowerCalculator = hasWifiPowerReporting ?
new WifiPowerCalculator(mPowerProfile) :
new WifiPowerEstimator(mPowerProfile);
mHasWifiPowerReporting = hasWifiPowerReporting;
}
mWifiPowerCalculator.reset();
final boolean hasBluetoothPowerReporting = checkHasBluetoothPowerReporting(mStats,
mPowerProfile);
if (mBluetoothPowerCalculator == null ||
hasBluetoothPowerReporting != mHasBluetoothPowerReporting) {
mBluetoothPowerCalculator = new BluetoothPowerCalculator(mPowerProfile);
mHasBluetoothPowerReporting = hasBluetoothPowerReporting;
}
mBluetoothPowerCalculator.reset();
if (mSensorPowerCalculator == null) {
mSensorPowerCalculator = new SensorPowerCalculator(mPowerProfile,
(SensorManager) mContext.getSystemService(Context.SENSOR_SERVICE));
}
mSensorPowerCalculator.reset();
if (mCameraPowerCalculator == null) {
mCameraPowerCalculator = new CameraPowerCalculator(mPowerProfile);
}
mCameraPowerCalculator.reset();
if (mFlashlightPowerCalculator == null) {
mFlashlightPowerCalculator = new FlashlightPowerCalculator(mPowerProfile);
}
mFlashlightPowerCalculator.reset();
电量统计需要先设置统计时间段,通过设置统计类型mStatsType变量来表示
mStatsType = statsType;
有三种可选值
// 统计从上一次充电以来至现在的耗电量
public static final int STATS_SINCE_CHARGED = 0;
// 统计系统启动以来到现在的耗电量
public static final int STATS_CURRENT = 1;
// 统计从上一次拔掉USB线以来到现在的耗电量
public static final int STATS_SINCE_UNPLUGGED = 2;
当前系统的运行时间
mRawUptimeUs = rawUptimeUs;
当前系统的真实运行时间,包括休眠时间
mRawRealtimeUs = rawRealtimeUs;
剩下的也是一堆时间
mBatteryUptime = mStats.getBatteryUptime(rawUptimeUs); // 电池放电运行时间
mBatteryRealtime = mStats.getBatteryRealtime(rawRealtimeUs); // 电池真实放电运行时间,包含休眠时间
mTypeBatteryUptime = mStats.computeBatteryUptime(rawUptimeUs, mStatsType); // 对应类型的电池放电运行时间,如上次充满电后的电池运行时间
mTypeBatteryRealtime = mStats.computeBatteryRealtime(rawRealtimeUs, mStatsType); // 对应类型的电池放电运行时间,包括休眠时间
mBatteryTimeRemaining = mStats.computeBatteryTimeRemaining(rawRealtimeUs); // 电池预计使用时长
mChargeTimeRemaining = mStats.computeChargeTimeRemaining(rawRealtimeUs); // 电池预计多久充满时长
DEBUG模式下会输出时间日志,这不重要
if (DEBUG) {
Log.d(TAG, "Raw time: realtime=" + (rawRealtimeUs/1000) + " uptime="
+ (rawUptimeUs/1000));
Log.d(TAG, "Battery time: realtime=" + (mBatteryRealtime/1000) + " uptime="
+ (mBatteryUptime/1000));
Log.d(TAG, "Battery type time: realtime=" + (mTypeBatteryRealtime/1000) + " uptime="
+ (mTypeBatteryUptime/1000));
}
计算最低和最高的电量近似值
该方法待会详细说明,现在我们只需要知道它主要进行统计APP软件的耗电量操作,统计之后会将每种类型,每个UID的耗电值存储在对应的BatterySipper
中
processAppUsage(asUsers);
对每个应用程序的每毫秒ms接收和发送的数据包mobilemspp
进行排序
for (int i=0; i<mUsageList.size(); i++) {
BatterySipper bs = mUsageList.get(i);
bs.computeMobilemspp();
if (bs.mobilemspp != 0) {
mMobilemsppList.add(bs);
}
}
// 遍历其他用户的耗电情况
for (int i=0; i<mUserSippers.size(); i++) {
List<BatterySipper> user = mUserSippers.valueAt(i);
for (int j=0; j<user.size(); j++) {
BatterySipper bs = user.get(j);
bs.computeMobilemspp();
if (bs.mobilemspp != 0) {
mMobilemsppList.add(bs);
}
}
}
对mMobilemsppList
进行排序
Collections.sort(mMobilemsppList, new Comparator<BatterySipper>() {
@Override
public int compare(BatterySipper lhs, BatterySipper rhs) {
return Double.compare(rhs.mobilemspp, lhs.mobilemspp);
}
});
计算硬件的耗电量,跟前面的processAppUsage(asUsers);
对应,这两个方法我们都后面再说
processMiscUsage();
对软硬件耗电量结果进行降序排序
Collections.sort(mUsageList);
获取最大耗电量
因为我们刚才进行了排序,所以耗电最多的硬件/软件正位于顶部,赋值mMaxRealPower
最大真实耗电量
遍历usageList
计算得到mComputedPower
耗电量总和
if (!mUsageList.isEmpty()) {
mMaxRealPower = mMaxPower = mUsageList.get(0).totalPowerMah;
final int usageListCount = mUsageList.size();
for (int i = 0; i < usageListCount; i++) {
mComputedPower += mUsageList.get(i).totalPowerMah;
}
}
如果存在未计算到的耗电量,实例化一个DrainType.UNACCOUNTED
类型的BatterySipper
进行存储,并添加到mUsageList
中
mTotalPower = mComputedPower;
if (mStats.getLowDischargeAmountSinceCharge() > 1) {
// 如果最低放电量 > 计算的总耗电量,说明还有未计算的
if (mMinDrainedPower > mComputedPower) {
double amount = mMinDrainedPower - mComputedPower;
mTotalPower = mMinDrainedPower;
// 实例化一个DrainType.UNACCOUNTED类型的BatterySipper,用来存储未计算的耗电量
BatterySipper bs = new BatterySipper(DrainType.UNACCOUNTED, null, amount);
// Insert the BatterySipper in its sorted position.
int index = Collections.binarySearch(mUsageList, bs);
if (index < 0) {
index = -(index + 1);
}
mUsageList.add(index, bs);
mMaxPower = Math.max(mMaxPower, amount);
}
如果存在计算多了的耗电量,实例化一个DrainType.OVERCOUNTED
类型的BatterySipper
进行存储,并添加到mUsageList
中
// 如果最高放电量 < 计算的总耗电量,说明多算了耗电量
else if (mMaxDrainedPower < mComputedPower) {
double amount = mComputedPower - mMaxDrainedPower;
// Insert the BatterySipper in its sorted position.
BatterySipper bs = new BatterySipper(DrainType.OVERCOUNTED, null, amount);
int index = Collections.binarySearch(mUsageList, bs);
if (index < 0) {
index = -(index + 1);
}
mUsageList.add(index, bs);
mMaxPower = Math.max(mMaxPower, amount);
}
}
这篇已经太长了,关于软硬件的耗电量计算就在另外一篇里面写吧
参考链接
- https://blog.csdn.net/FightFightFight/article/details/82694381
- http://gityuan.com/2016/01/10/power_rank/
- https://duanqz.github.io/2015-07-21-batterystats-part1
- http://androidxref.com/6.0.1_r10/xref//frameworks/base/core/java/com/android/internal/os/BatteryStatsHelper.java
END
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