Intelligent Charging System Research Articles

Optimization of Wireless Charging Techniques in Electric Vehicle Applications through Machine Learning

The integration of electric vehicles (EVs) into mainstream transportation systems is contingent upon the development of efficient and convenient charging technologies. Wireless charging, in particular, presents a promising solution to address the limitations of traditional plug-in charging methods. However, optimizing wireless charging techniques for EVs remains a complex challenge, with factors such as efficiency, alignment, and safety needing careful consideration. This paper explores the potential of leveraging machine learning (ML) algorithms to enhance the performance of wireless charging systems for EVs. By employing ML techniques, such as neural networks and genetic algorithms, in conjunction with real-time data analysis, the aim is to develop adaptive and intelligent charging systems capable of optimizing various parameters to improve efficiency, reliability, and user experience. This research paper discusses the current state of wireless charging technologies, explores the application of machine learning in optimizing these systems, and presents potential avenues for future research and development

Design of Intelligent Wireless Charging System for Electric Vehicle

This design takes stm32h743vit6 chip in STM32 Series MCU as the core controller of the intelligent wireless charging system. The electric vehicle system is composed of wireless charging module, image processing system and intelligent vehicle driving module. It can realize the functions of logistics transportation within the set distance, wireless charging at the stop, returning according to the specified route and so on. This design can be applied not only in daily life, but also in short-distance intelligent logistics transportation environment such as AGV.

Research on intelligent peak-cutting and valley-filling charging and swapping mode based on potential game theory

With the continuous increase in the proportion of renewable energy represented by wind and light in the power grid in recent years, on the one hand, the energy structure of the existing power grid has been directly optimized, and on the other hand, the full utilization of renewable clean energy can also reduce traditional power generation. The pollution caused by the industry to the environment. As an indispensable infrastructure for electric vehicles, charging and swapping stations, after being connected to a distributed micro-grid, can play a role in reducing peaks and valleys, promoting the consumption of new energy, and saving costs through reasonable configuration. The analysis of calculation examples shows that the intelligent charging and swapping system model based on the potential game theory proposed in this paper can effectively reduce the operating cost and user cost of the swap station, and effectively improve the level of wind and solar consumption, and achieve the level of smoothing the grid curve and peak-shaving and valley-filling. Purpose has important practical significance and engineering value.

Research on Intelligent Charging System Technology of Automobile Group

This paper analyzes the smart charging system for dealing with issues related to large parking garages, and analyzes the relevant technical standards of intelligent charging piles application and comprehensive transportation hubs. It mainly includes the number, area and charging method of the charging piles installed in the garages. New forms of construction management is conceived, and the investment and construction are reinforced, apportioning all charging system property rights to investment parties. Simultaneously, the investors take full responsibility for the future management and operation, mainly including the collection of service fees and charging fees.

Design of Lead-Acid Battery Intelligent Charging System

This paper expounds the principle of lead-acid battery intelligent charging system, design the main circuit of the intelligent charging system, the positive and negative pulse charging circuit, control circuit and software design of intelligent charging system. Experimental results show that the system USES intelligent charging method can effectively improve the charging efficiency of battery and prolong the service life of the battery, can be widely used in lead-acid battery charging system, which has a broad prospect of industrialization and social benefits.

Study on the Dynamic Weighing Measurement Accuracy of the No Parking Weight Charging System

In this paper, the intelligent weight charging system of heavy loaded highway was developed using piezoelectric quartz sensors, combined with the improved ETC system, in order to solve the congestion problem in highway toll station caused by heavy load vehicles. By study of the effects of different layout and spacing of sensors on the dynamic weighing accuracy and speed, then the optimal layout system of sensors was raised. Real vehicle test was carried out in Changwu charging station of highway from Fuzhou to Yinchuan. Experimental results show that: the optimized sensors enable heavy load vehicles passing through the toll stations in speed of 30km/h,and the accuracy of weighing was maintained within ± 2.5%. And the optimized sensors are able to overcome the errors caused by illegal operations, reaching the purpose of highway congestion management.

The Research and Design of Intelligent Battery Charger for Electric Vehicle

Battery charging is the most substantial issue in battery management systems, and the intelligent charger can provide stable and reliable energy conversion to electric vehicles. So the research of high power intelligent battery charger becomes very important. This paper introduces the main concept of battery charging of an electric vehicle, and studies the working principle and hardware scheme of an intelligent charging system, and researches the material performance. And based on research results, we will propose desirable characteristics of charger for public use.

Design and Realization of Battery Intelligent Charging System

Base on the existing disadvantages of the conventional three-stage charging method, the paper provided a intelligent and dynamic Charging ideal with a fuzzy control ideal based on J. A. Mas 's law and the characteristics of lead-acid battery charging. A fuzzy controller design achieved according to the empirical data of charging control and the systems hardware and software realized with PIC6014 microcontroller as the core. Experiments show: The intelligent and dynamic charging systems based on fuzzy control enable the charging current to achieve real-time changes according to the acceptable current size of the battery, enhanced the energy efficiency and avoid over-charge and less-charge effectively, realized efficient, fast and safe charging.

Research and Design on Intelligent Outdoor Solar Charging Station

To solve the current problems of monotonous forms in solar charging and various electrical equipment recharging, an intelligent and multi-functional solar energy charging system was designed, which can charge electric bicycles as well as various digital products. This system also can store electrical energy for LED for night use.

Wall plug-in power supply system for a robotic vacuum cleaner

Robotic vacuum-cleaners are widely used in households, in entertainment, and in the security sector. To successfully extend its wiping area and postpone working time, an intelligent power charging system plays an essential role. In this paper, an intelligent wall plug-in power system is developed. By using image processing technology, an image of the electric socket on the wall is captured by a CMOS camera and processed directly to a self-propelled unit of the system so it may approach the wall-socket. Before the plug is plugged into the electric socket by mechanical arms, the body of the system moves toward and parallel with the wall until the system reaches the wall. The main body of the system, which has a Microchip PIC18F452 microcontroller, includes two self-propelled stepping motors, two mechanical arms, six infrared distance-measuring sensors in which the effective detection distance is 10 to 80 cm, one CMOS webcam with 640×480 resolution, and four batteries (4hrs duration). The tracked target of this system is a regular electric wall-socket. The man-machine interface is written by Borland C++ Builder, which is used in communicating and processing the image.

Dynamic data mining technique for rules extraction in a process of battery charging

Battery charging controllers design and application is a growing industry direction. Fast and efficient charging of battery packs is a problem which is difficult and often expensive to solve using conventional techniques. The majority of existing works on intelligent charging systems are based on expert knowledge and heuristics. Not all features of the desired charging behavior can be attained by the hard-wired logic implemented by expert generated rules. Because the battery charging is a highly dynamic process and the chemical technology a battery uses varies significantly for different battery types, data mining technique can be of real importance for extracting the charging rules from the large databases, especially when the charging logic is to be continuously changed during the life of the battery dependent on the type and characteristics of the battery and utilization conditions. In this paper we use soft computing-based data mining technique for extraction of control rules for effective and fast battery charging process. The obtained rules were used for NiCd battery charging. The comparative performance evaluation was done among the existing charging control methods and the proposed system, which demonstrated a significant increase of performance (minimum charging time and minimum overheating) using the soft computing-based approach.