The entire article has been dedicated to cover the current state of the art in bidirectional DC-DC converter topologies and its smart control algorithms, identified the research gaps and concluded with the motivation for taking up the work. It covers the literature survey of bidirectional buck–boost DC-DC converters, and control schemes are carried out on two aspects, one is on topology perspective and another one is on control schemes. Different topologies with and without transformers of bidirectional DC-DC converters are discussed. Non-isolated converters establish the DC path between input and output sides while transformer-based converters cancel the DC path in between input and output sides since it introduces AC line between two DC lines just like in flyback converter. Transformer-less converter is preferred when there is no much protection needed for load from high voltage levels, also these converters are used in high-power applications. The bidirectional DC-DC converter can switch the power between two DC sources and the load. To do so, it has to use proper control schemes and control algorithms. It can store the excess energy in batteries or in super capacitors. In contrast, isolated topologies contain transformers in their circuits. Due to this, it offers advantages like safeguarding sensitive loads from high power which is at input side. In addition to it, multiple input and output ports can be established. With the isolation in DC-DC converters, input and output sections are separated from electrical stand point of view. With isolation, both input and output sections will not be having common ground point. The DC path is removed with isolation due to usage of transformer in DC-DC converters. In contrast to its features, it is capable to be used in low-power applications since transformer is switching at high frequency, the size of the coil reduces and hence it can handle limited rate of current. The bidirectional DC-DC converters are categorized based on isolation property so-called isolated bidirectional converters. Features and applications of each topology are presented. Comparative analysis w.r.t research gaps between all the topologies is presented. Also the scope of control schemes with artificial intelligence is discussed. Pros and cons of each control scheme, i.e. research gaps in control schemes and impact of control scheme for bidirectional DC-DC converters, are also presented.
This Paper focus, on the different stages associated with the advancement of Automobile Braking Control system. Different V-Models (SIL, MIL, HIL, and DIL) are contrasted with the proposed V model for Hydraulic antilock braking system. The main objective of this research is to enable various loop simulations used in a variety of automotive industries, in order to analyze the performance of different safety functions. A vehicle model is used to represent a real vehicle in a model-based environment. Vehicle model is a sophisticated component, which makes use of two wheeler dynamics concepts to achieve a real vehicle behavior. In this research, an attempt is made to elaborate the various automotive simulations used starting from model in loop simulation to Driver in loop Simulation approaches followed by a V-diagram approach to develop the product. Here an ABS controller is taken as an example model for simulation.
Objectives : Hardware implementation of advanced driving assistance system which can be able to identify i). Lane detection and assist system. ii). Blind spot detection and warning system (BSDW). iii). Forward collision and warning system (FCWS). iv). Pedestrian detection system. The primary goal of the developed system is to identify the above features in order to prevent accidents on the road and ensure pedestrian safety. Methods: The suggested method uses a canny edges detection algorithm is used to detect road edges. The input to this system is images captured by the camera with the help of the Open CV library a python image processing algorithm is created that tracks the lane. Histogram of Orientation (HOG) using the sliding window method is used for pedestrian detection. The control unit for the proposed system is Raspberry Pi module 3B, JSN-SR04T ultrasonic sensor and HC-SR04 ultrasonic sensor has been used for (BSDW) system and (FCWS) respectively. Findings: Results demonstrate that the suggested technique can accurately recognize both straight and curved lanes using edge detection algorithm, and also able to identify vehicles in Blind spot area. Novelty: This technology has a high demand in the automotive industry and the system can be implemented in all the future cars which can able to reduce the accident rates.
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