Advanced Materials Research Vols. 608-609

Abstract: With the continuous development of pure electric vehicles, lithium-ion battery is getting more attention. The SOH is characterized by the capacity of battery charging and discharging, so to meet the national regulations, it is necessary to detect it. This article focuses on estimating the current SOH of the battery based on voltage characterization when charging, and realizes real-time detection of health status in remote monitoring system.

Abstract: The large scale development of electric vehicle will have both benefits and potential stresses on power grid. It is shown that uncoordinated charging of EVs’ on the grid will produce series of problems, while intelligent charging can improve the operation of the power grid. In this study, based on several scenarios of charging modes, such as plug and charge, night charging and intelligent charging, the corresponding EV load models have been established. Therefore, an analysis is performed for the load characteristics of Shandong power grid to demonstrate the impacts of different EV charging scenarios. The results demonstrate that rational utilization of EVs’ load and energy storage property can help to decrease the maximum load of grid and the peak-valley difference, to stable load, and to raise the utilization of the power facilities.

Abstract: Aiming at the current design research status on large power traction battery formation testing system of electric vehicle, this paper presents a system design method based on the management computer, the control computer and the output computer which is 3 layers construction including superior middle and inferior. In the hardware design, high-performance microcomputer is adopted as the main controller, high speed photo electricity coupling separated circuit is employed as the input and output interface, and pulse width modulation control method is used in control algorithm. In the software design, modular design is used to divide the software system into four function parts: data calculating and processing, data displaying, data storing, parameter setting and regulating.. At last, the data analysis of the system experimental results indicates that this kind of design method has a good application foreground.

Abstract: To reduce the influence of heat temperature conditions on performance, reliability and safety of lithium-ion battery pack for pure electric vehicle, and then on the vehicle performance. This article selects the heat temperature field of lithium-ion battery pack as the research object. Firstly, the heat temperature condition of the battery is analyzed , and the distribution of the heat temperature field is determined ; Secondly, the heat model and the heat rate model are set up, and the thermal model of the thermal physical parameters and definite solution conditions are determined; Finally, the heat of battery pack is analyzed by CFD, including using Fluent module in ANSYS software ; Through the simulation analysis of heat temperature field of lithium-ion battery, theoretical guidances of reasonable design to the heat management system are provided.

Abstract: In order to ensure the safety and efficiency of electric-vehicle’s charging-discharging, and control the charging-discharging process according to the electric grid’s condition, multiple applications and systems have been developed for monitoring and managing the EV’s charging-discharging. All of these systems are required for EV charging-discharging data support, so it becomes quite an urgent problem that how to share and exchange EV’s charging-discharging information between different systems. To solve this problem, this paper applies IEC61970 CIM to EV charging-discharging system, extends the CIM to cover all the EV charging-discharging facilities. And then a data center of EV charging-discharging has been developed based on the extended CIM to provide charging-discharging data for other systems through CIS service. The research of this paper provides a unified information model for efficient monitoring and management of EV’s charging-discharging as well as integration of related systems and applications.

Abstract: In the literature, many foresight methods have been used to cope with uncertainty concerning the future demand for electric, hydrogen, and plug-in hybrid vehicles. As a result, different scenarios and roadmap have been provided, often with contrasting outcomes. This paper is a short review of the existing literature aiming to summarize the main results obtained so far, describing the diverse ranges of possible development of these alternative vehicles over the next 40 years. This paper then addresses some key questions through the answers provided by the literature: what are the drivers of an alternative vehicles economy What are the principal barriers and the strategic goals When will an economy of alternative vehicles emerge What does an alternative vehicle economy attain

Abstract: Reuse the electric vehicle batteries as a means of battery storage, could extend the battery life cycle. In order to improve the battery charge and discharge balance, we introduce and compare two optimized classification methods. The introduction of battery storage system in electric vehicle charging station could solve peak shaving, power quality and emergency charging effectively

Abstract: With the increasingly grim world environmental degradation and energy crisis, the industrial development of electric vehicles and charging for electric facilities has risen to national strategy. Based on the introduction of electric vehicle energy supply mode, proposed for power mode is the main push of the State Grid Corporation of business model. The Large-scale construction of electric vehicle filling station presents a challenge to Power grid, but through the application of V2G technology, electric vehicle power battery become smart grid energy storage structure, strengthen the new energy, electric vehicle charging the relationship between the three power stations and smart grid, and accelerate the integration process among the three.

Abstract: This paper raises a model which concerns about spinning reserve capacity of output and predicted error based on chance-constrained programming. The distribution function is established on the load demand of electric vehicles. Considering the complementarities of electric vehicles and small hydro and wind power generations, this paper constructs a dispatch model on the participation of electric vehicles in reserve capacity and peak regulation. Joint operation of different units in the system achieved by genetic algorithm examines the influence from joint dispatch of electric vehicles and small hydro and wind power generations on spinning reserve capacity and peak regulation plan, setting different values of confidence to make comparison of electric charge in the entire system. According to the real operation statistics of an electric company in a certain province, the reliability and accuracy of the model was guaranteed.

Abstract: State of Energy can be used to predict the driving mileage of electric vehicles, design the control strategy of vehicle energy distribution, and improve the safety of electric vehicle. Accurate estimaion of state of energy is one of the key technologies in the study on battery management system of electric vehicle. In this paper, the State of Energy is estimated by using Unscented Kalman Filter, while the process noise and measurement noise is adjusted by using the Sage-Husa adaptive algorithm, as a result the estimation accuracy is improved. The result shows that the State of Energy estimation by using Adaptive Unscented Kalman Filter algorithm is satisfactory to electric vehicle.