Selection of optimal target reliability in RBDO through reliability-based design for market systems (RBDMS) and application to electric vehicle design

2019 ◽  
Vol 60 (3) ◽  
pp. 949-963 ◽  
Author(s):  
Ungki Lee ◽  
Namwoo Kang ◽  
Ikjin Lee
2019 ◽  
Vol 16 (8) ◽  
pp. 3351-3358
Author(s):  
Jyothi P. Phatak ◽  
L. Venkatesha ◽  
C. S. Raviprasad

The selection of motor is one of the significant factors in Electric Vehicle design. When the motor is selected based on the conventional method, its performance during starting of the EV is met but it may fail in other operating regions of the driving cycle. This is because, acceleration requirements assume zero initial speed conditions and the requirements with different initial speeds is not accounted in the conventional method. This paper discusses an alternative procedure to compute the ratings of induction motor. The preliminary method to compute the ratings is carried out based on vehicle performance requirements. The improvisation techniques in the computation are then adopted to get required acceleration and transient torque capabilities of motor to meet the driving cycle requirements. The procedure is illustrated through simulation studies using MAT lab software.


Author(s):  
Ungki Lee ◽  
Namwoo Kang ◽  
Ikjin Lee

When designing a product, both engineering uncertainty and market heterogeneity should be considered to reduce the risk of failure in the market. Reliability-based design optimization (RBDO) approach allows decision makers to achieve target confidence in product performance under engineering uncertainty. Design for market systems (DMS) approach helps decision makers to find profit-maximized product design under market heterogeneity. This paper integrates RBDO and DMS approaches for an Electric vehicle (EV) design. Consumers’ preferences on warranted battery lifetime are heterogeneous while battery life itself is affected by various uncertainties such as battery characteristics and driving patterns. We optimized and compared four scenarios depending on whether engineering systems are deterministic or probabilistic, and whether a market is homogeneous or heterogeneous. The results provide some insight on how the optimal EV design should be altered depending on engineering uncertainty and market heterogeneity.


2021 ◽  
Vol 29 ◽  
pp. 455-461
Author(s):  
Bing Hu ◽  
Zhizhi Wang ◽  
Minbo Xu ◽  
Luyao Zhu ◽  
Dingjiang Wang

BACKGROUND: The selection of optimal target areas in the surgical treatment of epilepsy is always a difficult problem in medicine. OBJECTIVE: We employed a theoretical calculation model to explore the control mechanism of seizures by an external voltage stimulus acting in different nerve nuclei. METHODS: Theoretical analysis and numerical simulation were combined. RESULTS: The globus pallidus, excitatory pyramidal neurons, striatal D1 neurons, thalamic reticular nucleus and specific relay nuclei were selected, we analyzed that the electrical stimulation has different effects in these target areas. CONCLUSIONS: The data selected were reasonable in study, the results may give a theoretical support for similar studies in clinical.


1995 ◽  
Vol 27 (6) ◽  
pp. 835-862 ◽  
Author(s):  
C O Quandt

The California Air Resources Board has mandated that by 1998 2% of new vehicles sold in California must be zero emission, effectively, electric vehicles. This requirement is largely responsible for the electric vehicle development programs run by almost every global automobile manufacturer that does business in the United States. At present, no single electric vehicle technology, from battery type, to propulsion system, to vehicle design, represents a standard for a protoelectric vehicle industry. In this paper competing electric vehicle technologies are reviewed, leading public and private electric vehicle research programs worldwide are summarized, and the barriers faced by competing technological systems in terms of manufacturing and infrastructural requirements are examined.


Author(s):  
Murli Jha

Abstract: The initial dimensions and weight for the vehicle is considered from the Audi A8 vehicle as a reference. The specifications for the motor and battery are considered for the Mahindra e2o electric vehicle of similar dimensions. The main objective of this paper is to model and perform static analysis on the chassis of a four-seater car. The initial design for the chassis was a space frame body which is very rigid and had very less deflection. The second and final chassis is a ladder type chassis which is most common chassis type being used in Nepal and India. The difference in deflection between both the chassis type is very less, which is about 0.3235 mm for a reasonable reduction in weight which is about 120 Kg. The simulation part is carried out in ANSYS software. The result is selection of best suitable material for chassis on the basis of ANSYS and theoretically calculated result. Keywords: Chassis, Structural Analysis, Optimization, Four seater car


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