A Rule Based Design Process and an Evolutionary Architecture for the Vehicle Power Supply

1993 ◽  
Author(s):  
Robert J. Sandel
2011 ◽  
Vol 12 (2) ◽  
pp. 322-332 ◽  
Author(s):  
Jinyuan Li ◽  
Shuming Tang ◽  
Xiqin Wang ◽  
Wei Duan ◽  
Fei-Yue Wang

Energies ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 428
Author(s):  
Bin Tang ◽  
Di Zhang ◽  
Haobin Jiang ◽  
Yinqiu Huang

The traditional vehicle power supply is unable to meet the power requirement of electric power steering system (EPS) in heavy-duty vehicles at low speeds. A novel EPS with hybrid power supply (HP-EPS) is constructed in this paper, and a new optimized rule-based energy management strategy of hybrid power supply system is designed. The strategy determines the power distribution of the vehicle power supply (VPS) and super capacitor (SC), as well as the charging or discharging of SC. Furthermore, to minimize the output current fluctuation of the VPS, the optimization model of parameters in the strategy is established and the particle swarm optimization algorithm (PSO) algorithm is applied to optimize the rules in the energy management strategy. The verification for the designed energy management strategy is carried out in MATLAB/Simulink and results show that the output current peak of VPS decreases by 33% and its fluctuation depresses significantly. In addition, the SC is charged timely and fast, which is beneficial to guarantee enough state of charge (SOC) of SC. In conclusion, the optimized rule-based energy management strategy used for the HP-EPS system can meet the current requirement of EPS and effectively reduce the peak and fluctuation of the VPS output current.


2011 ◽  
Vol 354-355 ◽  
pp. 1316-1320
Author(s):  
Zheng Zheng ◽  
Di Lei Chen ◽  
Zhen Hua Zhang

For the existence of a large input current harmonic content and the problem of low power factor, we propose an idea using APFC technical to design high power factor switching power supply to deal with it, meanwhile, the design process of APFC circuit parameters of the various components is given. Finally, the design proved to be correct and feasible by the simulation with Saber.


2021 ◽  
pp. 1-11
Author(s):  
Lin Li

With the development of the electric power industry, the technical level of automatic testing equipment for the reliability of electrical component circuit breakers in the transmission and distribution network is getting higher and higher. The stability and accuracy of the test power supply are the basis for ensuring the pass rate of the test product. Most of the electrical testing and testing equipment has defects such as inaccurate power supply current regulation, low power, and low level of intelligence, which are difficult to meet the testing requirements. Based on the theory of a closed-loop control system, this paper adopts embedded system design technology to realize a high-current, high-power, high-stability digital constant current source system for line detection. This paper studies the rule-based intelligent anti-jamming decision engine design and system anti-jamming performance analysis of NC-OFDM system. We give the design of an intelligent anti-jamming decision engine based on rule-based decision-making, and focus on two intelligent anti-jamming decision-making algorithms: Adaptive Modulation and Coding (AMC) algorithm based on signal-to-noise ratio difference and packet error rate and Adaptive Sub-Band Selection (ASBS) algorithm. Experimental test results show that the output current range is 200 mA to 2000 mA, the system has realized a microstep adjustment of±5 mA, and the absolute error of current measurement is less than 0.3%+4 mA. The system is stable and reliable, and has high practical value in the field of high precision and low power.


An electric power converter is specified by its system performance indices. Many system performance indices like efficiency are important in design process of system. However, that doesn't mean the converter performance is necessarily adequate for a practical application. At the end of design process of a converter, some desired specifications may not be achieved. In this chapter, reliability as a figure of merit in design of a system is presented and compared with other indices. We want to highlight the effect of reliability considerations on the design methodology of a power converter. The most important specification of a power supply or power converter is its robustness. Because any failure in power supply leads to failure of the whole of the system. A power converter may have poor performance but operate reliably and vice versa. In fact, this is a reliability based design approach to achieve a long useful life. It is shown that in many systems, high efficiency is not a good choice for selection of system operating point. A system can be inefficient but very reliable. Two complex examples are presented to show undesired results of neglecting reliability in design process. Methods for more reliable operation of electric power converters than high performance operation are proposed. A discussion about correct and intelligent optimization of a system parameters and operating set point is presented.


2021 ◽  
pp. 1-10
Author(s):  
Kaijie Xu ◽  
Hanyu E ◽  
Yinghui Quan ◽  
Ye Cui ◽  
Weike Nie

In this study, we develop a novel clustering with double fuzzy factors to enhance the performance of the granulation-degranulation mechanism, with which a fuzzy rule-based model is designed and demonstrated to be an enhanced one. The essence of the developed scheme is to optimize the construction of the information granules so as to eventually improve the performance of the fuzzy rule-based models. In the design process, a prototype matrix is defined to express the Fuzzy C-Means based granulation-degranulation mechanism in a clear manner. We assume that the dataset degranulated from the formed information granules is equal to the original numerical dataset. Then, a clustering method with double fuzzy factors is derived. We also present a detailed mathematical proof for the proposed approach. Subsequently, on the basis of the enhanced version of the granulation-degranulation mechanism, we design a granular fuzzy model. The whole design is mainly focused on an efficient application of the fuzzy clustering to build information granules used in fuzzy rule-based models. Comprehensive experimental studies demonstrate the performance of the proposed scheme.


2014 ◽  
Vol 644-650 ◽  
pp. 964-967
Author(s):  
Jing Zhao ◽  
Wen Jun Zhao ◽  
Qiang Zhang

The testability design becomes one of important works to do during a design process of a system and en equipment. Whereas, the testability labor of current avionics equipments are performed after design and most of its testability results are acquired by manual statistic. In this article, taking an aviation radio’s power supply model for example, a testability model is designed based on TADS and the scientificity and practicability of this model is testified by realizing fault separation by GPTS.


Author(s):  
Madhusudan Kayyar ◽  
Joshua D. Summers ◽  
Farhad Ameri ◽  
Sherrill Biggers

This case study investigates the design process followed by a small to medium scale enterprise (SME) that primarily depends on special expertise in the form of a few key individuals, who design products mainly based on past experience, augmented by trial and error. This is an inefficient, time consuming, and expensive way of designing products and evaluating their performance. This led to development of a specialized and affordable design enabler that facilitates engineering analysis, noticeably absent in SME’s current design process. Further, the design enabler forms the foundation for extending the scope to include rule-based systems, optimization and case based reasoning that would assist designers in efficient product development.


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