Computer science as an academic discipline began in the 1960’s. Emphasis was on
programming languages, compilers, operating systems, and the mathematical theory that
supported these areas. Courses in theoretical computer science covered finite automata,
regular expressions, context-free languages, and computability. In the 1970’s, the study
of algorithms was added as an important component of theory. The emphasis was on
making computers useful. Today, a fundamental change is taking place and the focus is
more on a wealth of applications. There are many reasons for this change. The merging
of computing and communications has played an important role. The enhanced ability
to observe, Collect, and store data in the natural sciences, in commerce, and in other
fields calls for a change in our understanding of data and how to handle it in the modern
setting. The emergence of the web and social networks as central aspects of daily life
presents both opportunities and challenges for theory.
標簽：
Foundations
Science
Data
of
上傳時間：
2020-06-10
上傳用戶：shancjb
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(huán)境,電池管理系統(tǒng)應運而生。BMS主控單元基于S32K144汽車級單片機,通過主從式網(wǎng)絡控制結構能夠對鋰電池的各個參數(shù)進行采集與分析。采用擴展卡爾曼濾波對電池的荷電狀態(tài)(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%.
標簽：
s32k144
bms
上傳時間：
2022-03-26
上傳用戶：XuVshu
