Forewords to books can play a variety of roles. One is to describe in
more general terms what the book is about. That’s not really neces-
sary, since Jim Sterne is a master at communicating complex topics in
relatively simple terms.
An Arduino core for the ATmega328, ATmega168, ATmega88, ATmega48 and ATmega8, all running a [custom version of Optiboot for increased functionality](#write-to-own-flash). This core requires at least Arduino IDE v1.6.2, where v1.8.5+ is recommended. <br/>
**This core gives you two extra IO pins if you're using the internal oscillator!** PB6 and PB7 is mapped to [Arduino pin 20 and 21](#pinout).<br/>
If you're into "generic" AVR programming, I'm happy to tell you that all relevant keywords are being highlighted by the IDE through a separate keywords file. Make sure to test the [example files](https://github.com/MCUdude/MiniCore/tree/master/avr/libraries/AVR_examples/examples) (File > Examples > AVR C code examples). Try writing a register name, <i>DDRB</i> for instance, and see for yourself!
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目前電動汽車主要以鋰電池作為動力來源,為了提高鋰電池的使用時間和安全性,為鋰電池提供安全良好的運行環境,電池管理系統應運而生。BMS主控單元基于S32K144汽車級單片機,通過主從式網絡控制結構能夠對鋰電池的各個參數進行采集與分析。采用擴展卡爾曼濾波對電池的荷電狀態(SOC)進行估算,克服普通估算方法無法避免電池內阻誤差的缺點,通過Matlab/Simulink軟件仿真驗證可使估算誤差達到2%以內。At present,electric vehicles mainly use lithium batteries as the power source.In order to improve the running time and safety of lithium batteries,a safe and good operating environment for power batteries is provided,and a battery management system(BMS) has emerged.The BMS main control unit is based on the S32K144 automotive-grade control chip.Through the master-slave network control structure,it can collect and analyze the various parameters of the lithium battery.The Extended Kalman Filter(EKF) is used to estimate the state of charge(SOC) of the battery,which overcomes the shortcomings of the internal estimation method that cannot overcome the internal resistance error of the battery.It can be verified by Matlab/Simulink software simulation.The estimation error is within 2%.
隨著科技發展及工業4.0 進程推進,機械臂應用范圍越來越廣,并演化出各種各樣的機械臂,如碼垛機械臂、焊接機械臂、裝配機械臂以及手術機械臂等。現利用solidworks 進行三維建模,設計制作一款基于stm32f103c8t6 單片機的主從式桌面級機械臂,該機械臂包括一個主動機械臂和一個從動機械臂,采用藍牙傳輸信號方式進行同步運動,并且詳細介紹了該機械臂材料選擇、結構設計、工作原理、組成部分和設計特點。With the development of science and technology and the advancement of Industry 4.0, the application range of the mechanical arm has become wider and wider, and various types of mechanical arms, such as palletizing robot arms, welding robot arms, assembly robot arms, and surgical robot arms, have been developed. Now using solidworks for 3D modeling, design and manufacture a master-slave desktop-level robot arm based on stm32f103c8t6 single-chip microcomputer. The robot arm includes an active robot arm and a slave robot arm, which uses Bluetooth to transmit signals for synchronous motion. The material selection, structural design, working principle, components and design features of the manipulator are introduced.
