Concerning the parameter optimization of electric assist control strategy for Hybrid Electrical Vehicles (HEV), the orthogonal table was designed based on the theory of orthoplan experiment, which took the fuel consumption, the COs emission, and the total emission of HC and NOx as the experimental indexes. The influence of control strategy parameters on the parallel HEV was obtained by using intuitive analysis to analyze the 18 group test results, and then the remarkably influencing factors of each index were found out.

Based on the study of the application layer of Dedicated Short Range Communication (DSRC) protocol stack, as for the ASN.1 PER encoding and decoding module, a framework for encoding and decoding was designed and implemented, which included ASN.1 mapping rules, a general procedure for encoding and decoding, and a memory management method specifically designed for small devices. The framework is of good generality because of well-organized modules. The test results show that the framework has good performance, and it meets the real-time requirement of the protocol.