scholarly journals Multiple Sensor Fail-Operational Architecture for Electric Vehicle Powertrain Control System

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1306
Author(s):  
Yungchen Wang ◽  
Rongshun Chen
Keyword(s):  
Control System ◽  
Signal Reconstruction ◽  
System Level ◽  
Battery Management ◽  
Powertrain Control ◽  
Powertrain System ◽  
Redundant Signal ◽  
Multiple Sensor ◽  
Motor Control System ◽  
Definition Of

With the expanding demand to meet specific safety requirements, a new definition of the architecture at the system level is required to keep the powertrain system still operational after the fault emerge of some sensors. This work proposes a fail-operational architecture by integrating battery management and motor control system, which implements heterogeneous sensor signal reconstruction and model-based signal estimation for redundant signal generation and adopts random forest for signal arbitration. The proposed architecture can reduce the system failure rate and allow a fault-toleration of up to three sensors at any given time without increasing costs. Finally, the proposed architecture was verified by comparing the fault detection performance among three arbitration algorithms in a model in the loop (MIL) platform.

Minority Presidents in a Coalitional World

2018 ◽  
Author(s):  
Paul Chaisty ◽  
Nic Cheeseman ◽  
Timothy J. Power
Keyword(s):  
Coalition Formation ◽  
Cost Minimization ◽  
Analytical Framework ◽  
System Level ◽  
Current State ◽  
Key Concepts ◽  
Definition Of

This chapter summarizes the main parameters of coalitional presidentialism and the key concepts, definitions, explanatory frameworks, indicators, and propositions. It summarizes our understanding of coalitional presidentialism; the distinction between coalition formation and maintenance; the definition of coalitions; the multidimensional understanding of coalition management (the ‘presidential toolbox’); and an analytical framework that emphasizes the motivation of presidents to achieve cost minimization under constraints determined by system-level, coalition-level, and conjunctural factors. It also summarizes our main empirical findings: (1) the characteristics of presidential tools, (2) the substantive patterns of their deployment, (3) the factors that shape the costs of using these tools, (4) the actual (observed) costs of using them, and (5) the potential for imperfect substitutability of these tools. Finally, it concludes with some reflections on the current state of the research on comparative presidentialism.

Simulation and Design of Double Close-Loop DC Motor Control System Based on Matlab

2012 ◽  
Vol 546-547 ◽  
pp. 248-253
Author(s):  
Jing Jing Xiong ◽  
Zhen Feng ◽  
Jiao Yu Liu
Keyword(s):  
Motor Control ◽  
Control System ◽  
System Design ◽  
Closed Loop ◽  
Dynamic Performance ◽  
Model System ◽  
Optimal Parameters ◽  
Actual System ◽  
Dc Motor Control ◽  
Motor Control System

In this paper, based on the principle of the speed and current double closed loop DC regulating system and the requirement of the static and dynamic performance, we calculate time constant of the regulator, select the structure of the regulator to calculate related parameter and then correct its parameters, and model system and simulation by using Simulink, analysis waveform and debug to find out the optimal parameters of the system regulator to guide the actual system design.

Fault Diagnosis of New Certain Mine Sweeping Plough’s Electrical Control System Based on Data Fusion

2015 ◽  
Vol 713-715 ◽  
pp. 539-543
Author(s):  
Yong Zhao ◽  
Xiao Qiang Yang ◽  
Yin Hua Xu ◽  
Jian Bin Li
Keyword(s):  
Neural Network ◽  
Control System ◽  
Fault Diagnosis ◽  
Data Fusion ◽  
Complex Structure ◽  
Evidence Theory ◽  
System Level ◽  
Sensor Failure ◽  
Advanced Technique ◽  
Electrical Control

The fault diagnosis of electrical control system of certain type mine sweeping vehicle is difficult due to its complex structure and advanced technique. So in the multi-sensor failure diagnosis process, as a result of various reasons, such as the existence of measurement noise, diagnosis knowledge incomplete and so on, it makes the fault diagnosis uncertainty and affects the reliability and the accuracy of the diagnosis result. This article according to the analysis of electrical control system's fault characteristic of the mine sweeping plough’s, proposes a technique based on data fusion fault diagnosis method. The diagnosis process is divided into the sub system and the system-level, the subsystem uses the BP neural network to classify the fault mode, the system-level uses the D-S evidence theory carries on the comprehensive decision judgment for the whole system's fault. Application shows if some sub-neural network diagnosis has error, using D-S evidence theory fusion can effectively improve the accuracy of diagnosis.

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