Advanced Materials Research Vols. 608-609

Abstract: The risk- and condition-based dynamic inspection proposed to decrease losses and costs caused by accidents which is not only a decision-making and optimal method for inspection strategies, but is also a soft measurement system for fixed equipment safety status. In the risk- and condition-based dynamic inspection method, data collection is standardized to decrease the impact of personal factors on the data. Moreover, a procedure in which experts approve the data collected from plants is supplemented to amend error and supplement omission of data in time. A relevant inspection strategy is adopted based on the different damage types and its initiation and growth for the aspect of inspection decision-making. In the meantime, the cost-risk efficiency of the inspection is regarded as an objective function to optimize inspection strategies according to the risk status of equipment. Finally, a model is established to assess the frequency of in-service inspection and ensure equipment safety during the end of equipment life based on the fitted linear relationship between the corrosion rate and stress energy.

Abstract: Online parameters identification is one of the major functions of model-based battery management system (BMS), which can be used to monitor the working status of battery, such as state of charge (SOC) and state of health (SOH). This paper proposed a wavelet-based identification method of Li-ion battery model for Electric Vehicles (EVs). The main idea is to decompose the measured terminal voltage and current data at multiple scales, and then recursive least squares (RLS) algorithm is used to extract the model parameters at a suitable scale. The proposed method is shown to have good robustness to measured noise and thus enhances the estimation accuracy by taking advantage of the noise removal ability and signal approximation properties of wavelet decomposition.

Abstract: Battery switch station (BSS) can resolve the conflict between life and charging time of batteries of electric vehicles by offering quick replacement services though pre-charging with small power. This paper proposed an energy management model for BSS in two settlement electricity markets. The present program focused on how to satisfy demands of electric vehicles with lowest cost in electricity markets, which are the key issue of lowering operating costs of BSS. The program adopted the mean-variance theory to control financial risks of uncertainties of prices, and simulation results showed the effectiveness of the proposed program

Abstract: This paper takes PMSM of EV as research object. Radial electromagnetic force analysis, housing modal analysis and NVH prediction are conducted. Radial electromagnetic force order and frequency are obtained by theoretical calculation, numerical verification is executed using Ansoft software. Modal characteristics are obtained by FEA numerical simulation. Combined the results of the electromagnetic analysis with modal simulation, the NVH performance is investigated.

Abstract: According to pure electric vehicle dynamic requirements and the driving conditions, took an electric vehicle as an example, analyzed principle and method of power system with voltage, electric current, capacity and connection methods. Software ADVISOR was employed to establish vehicle model, analyzed dynamic performance under drive cycle conditions. Simulation result indicate that battery pack is in normal state, dynamic performances including acceleration performance, gradient ability, maximum speed, driving mileage are satisfied to design requirements. So the rationality and validity of the power system are demonstrated.

Abstract: Regarding the development of the electric vehicle replacement charging stations, this paper comes up with the application solution of RFID technology in the electric vehicle battery replacement charging stations. This paper first analyzes the specific characteristics of the RFID technology, provides an overview on the RFID technology solution to solve the management problem of the battery compartment, introduces the RFID technology application on the management of charging vehicles, as well as on the unified management of battery compartment in battery replacement charging stations. The paper makes the outlook on the RFID technology application in other fields of the electric vehicle replacement charging stations.

Abstract: Charging infrastructure is the fundamental conditions of electric vehicles(EV)’s application and dissemination, and advanced charging standards can guide and regulate the harmonious development of EV and infrastructure. In this paper, plenty of and latest EV charging standards were collected at home and abroad, which were compared in different classifications, then the standards differences were analyzed in term of relative merits to provide reference for the future development of EV charging standards in China.

Abstract: Electric vehicle (EV) is an emerging type of mobile intelligent power consumption device and energy storage terminal in Smart Grid. In order to solve automation and intelligence support problem for wide area electric vehicles charging-swap services, we make full use of technology. we analyze practical demands of electric vehicle charging-swap networks operation service scenarios and define the Internet of Things (IoT) architecture for electric vehicles for wide area unified operations and monitoring management in this paper. Then, we design a perception integration model for battery packs real-time information collection in mobile scenes. We also present a multimode collaborative communications method to implement large scale interconnection and intercommunication among electric vehicles, charging-swap devices and operation center. Finally we develop operations and monitoring platform demo for cross-regional electric vehicle charging-swap networks management using Geographic Information Systems (GIS) and Service-Oriented Architecture (SOA).

Abstract: Nowadays, the depression of energy market and the ever rising price of gasoline make us pursue green transportation. With the forceful support from our government, Electric Vehicles (EVs) develop rapidly. When randomly being connected to the power grid in large scale, EVs will bring new problems to grid in operation. This paper analyzes the load characteristics of EVs and their impact on the power grid. Study the charging and discharging time and capacity of each type of EVs, based on the EVs’ charging mode in China. This paper adopts Monte Carlo simulation method to obtain expectation and standard deviation of power demand of a single EV, then calculates the overall power demand of large-scale EVs.

Abstract: Power battery thermal management system (BTMS) is very important for the safe operation of electric vehicles (EVs). The cooling effect of air cooling, phase change material(PCM)cooling and liquid cooling applyed to BTMS are compared. The experiment results show that, in comparison with air cooling, PCM cooling and liquid cooling methods can reduce the battery temperature rise effectively; in comparison with PCM cooling, liquid cooling has a better effect in the aspect of controlling the battery temperature rise.