Abstract: Displaying and storaging engine real-time data for calibration system have great significance. Researchers need to adjust ECU parameter and control strategy according to the feedback data. An achievable method based on multi-core and real-time data processing of ECU calibration is proposed, which includes the real-time data acquisition and online calibration. An improved algorithm based on RLE is proposed to achieve real-time lossless compression. Real-time data can be stored and queried quickly. To ensure the compression efficiency and real-time of the system, tasks are assigned to the timing to run on different CPUs. The strategy of thread scheduling and the structure of data cache queue are used. In the engine ECU calibration system application shows that the method can meet the system requirement of real-time, accuracy, and efficiency.

Key words: Electronic Control Unit（ECU） calibration, Run-length encoding and Huffman Encoding（RHE）, real-time data processing, parallel optimization

摘要： 发动机ECU标定系统需要标定人员根据实时工况数据来即时调整ECU的控制策略。即时显示发动机运行状态，同时存储实时数据对于标定工作意义重大。提出一种发动机ECU标定系统结构实现方法，实现工况数据的实时采集与标定数据的在线标定。设计一种改进的行程编码算法对数据进行无损压缩，便于数据的传输、存储、查询；利用数据缓存队列、优化线程调度策略，将任务分配到不同处理器上运行，保证系统的实时响应与数据处理效率。在发动机ECU标定系统的应用中表明该方法满足了标定系统对实时性、准确性、高效性的要求。

关键词: 发动机电子控制单元（ECU）标定系统, 行程与哈夫曼编码（RHE）, 实时数据处理, 并行优化