Shifang Zhang

Data Process of Diagnose Expert System based on Neural Network

Engine fault has a high rate in the car. Considering about the distinguishing feature of the engine, Engine Diagnosis Expert System was investigated based on Diagnosis Tree module, Fuzzy Neural Network module, and commix reasoning module. It was researched including Knowledge base and Reasoning machine, and so on. In Diagnosis Tree module, the origin problem was searched in right method. In which module distinguishing rate and low error and least cost was the aim. By means of synthesize judge and fuzzy relation reasoning to get fault origin from symptom, fuzzy synthesize reasoning diagnosis module was researched. Expert knowledge included failure symptom, engine system failure and engine part failure. In the system, Self-diagnosis method and general instruments method worked together, complex failure diagnosis became efficient. The system was intelligent, which was combined by fuzzy logic reasoning and the traditional neural network system. And it became more convenience for failure origin searching, because of utilizing the three methods. The system fuzzy neural networks were combined with fuzzy reasoning and traditional neural networks. Fuzzy neural network failure diagnosis module of system, as a important model was applied to engine diagnosis, with more advantages such as higher efficiency of searching and higher self-learning ability, which was compared with the traditional BP network

Information Processing of Chassis Dynamometer based on Controller Area Network

The development of chassis dynamometer of hybrid vehicle based on CAN bus was studied. Chassis dynamometer of hybrid vehicle measurement methods and loading devices are analyzed, and laid the foundation for the resistance simulation of chassis dynamometer. Road resistance simulation on HEV chassis dynamometer is researched, getting electric quantity simulation type of chassis dynamometer driving resistance. The research and development of hybrid vehicle chassis dynamometer based on CAN Bus is conducive to enhance the level of whole hybrid vehicle and car assembly, establish the test procedures, test methods and test standards, provide a research platform and methods for test evaluation of HEV energy utilization. The chassis dynamometer system needs to be calibrated in order to ensure its accuracy .The drum Test bench surface traction can be measured from the motor casing tangential force using force sensor mounted on the motor casing. The design adopts bidirectional calibration arm, it can decrease the effect of extra torque to ensure the test precision of automobile chassis dynamometer surface traction. The method of hybrid vehicles fuel consumption experiment test is analyzed through experiment test on the HEV chassis dynamometer and actual road. We obtain some regularity of hybrid vehicles energy consumption and hybrid vehicles fuel consumption test method through studying lightweight hybrid vehicles fuel economy.

Control Information and Data Processing of Vehicle based on Global Position System

A testing system based on Data Stream function of vehicle electronic control system was developed to test the city bus driving cycle. A mufti-function Vehicle Traveling Data Recorder based on GPS which can realize the vehicles positioning and navigating was investigated. The system included data acquisition module, display module, print module, GPS module, communication module and so on. This system adopts the FRAM memory as the storing equipment in which the automobile realized the real-time data store. It could realize the real-time data transmission of automobile and remote controlling by M22 GPRS module which includes TCP/IP. Optimizing of Muti-Energy power train control strategy was the key technical of Hybrid Electric Vehicle. Three kind structure of HEV and their control strategy were investigated, Series Hybrid Electric Vehicle, Parallel Hybrid Electric Vehicle, and PSHEV. Considering about driving cycle of CYC_NEDC and CYC_HWFET, three control strategies such as Electric Assistant Control, Simulation and experiment evaluation for regenerative braking of hybrid electric vehicle was investigated. The test result shows that the regenerative current in the road test and dynamometer test had little difference. The result shows that fuel consumption value got by the chassis dynamometer test evaluation method was closer to the value got by outdoor road test method.

Study on Multi-Energy Powertrain Control Strategy of Hybrid Electric Vehicle

Optimizing of Muti-Energy powertrain control strategy was the key technic of Hybrid Electric Vehicle. Three kind structure of HEV and their control strategy were investigated, Series Hybrid Electric Vehicle, Parallel Hybrid Electric Vehicle, and PSHEV. Considering about driving cycle of CYC_NEDC and CYC_HWFET, three control strategy such as Electric Assistant Control, Adaptive Control Strategy and Genetic Algorithms Control were simulated based on Advisor to analysis vehicle performance. The results of simulation indicated that the fuel consumption economics and exhaust character were improved by using Genetic Algorithms Control. In CYC_NEDC, compared with Electric Assistant Control, fuel consumption economics was improved 47.4%, HC decreased 6.2%, CO decreased 4.6%, and NOx decreased 7.7%. Compared with Adaptive Control Strategy, fuel consumption economics was improved 20.4%, HC decreased 0.6%, CO decreased 29.5%, and NOx decreased 13.5%. In CYC_HWFET, same results were achieved.

Hybrid Electric City Bus Control Strategy Based on Driving Cycle

City bus driving cycle plays an important role on control strategy of Hybrid Electric Vehicle. A testing system based on Data Stream function of vehicle electronic control system was developed to test the city bus driving cycle. By measuring such parameters as engine speed, throttle position, vehicle speed and passenger number, statistic results indicated that parking time, vehicle speed, acceleration, deceleration and passenger number accorded with normal school. In all the running time of a city bus, idle speed time account for 25.3 percent, acceleration and deceleration time 69.1 percent, and even speed time account for 5.6 percent . According to the driving cycle development, hybrid electric city bus control strategy was optimized. Research result indicates that engine consume less fuel as engine idle speed cycle limited. We use small power engine to improve enginei s running state and adopt regenerative brake technique. Optimizing of powertrain control strategy was the key technique of Hybrid Electric Vehicle. Structure and control strategy of Series Hybrid Electric Vehicle and Parallel Hybrid Electric Vehicle were analyzed.