Modelling and Simulation on Recycling of Electric Vehicle Batteries – Using Agent Approach

Abstract

This study investigates electric vehicles battery recycling problem. In this study, based on Agent theory and Anylogic platform, Agent model of battery recycling is built. We have done simulation for electric vehicle batteries recycling: this paper analyses the influence that factors (battery renovation rate, quantities of electric vehicles, electric vehicle lifetime, battery lifetime, battery renovation time) have on recycling (quantities of wasted batteries, quantities of reused batteries, optimal quantities of batteries). Through simulation, this study shows that factors' influence on recycling depends on the relative life RL greatly. When renovation rate changes in the interval [0.7, 0.8], the results fluctuate greatly, such as optimal quantities of batteries will decrease about 10 %, quantities of reused batteries can increase about 30 %, and quantities of wasted batteries will have a sharp decline by about 40 %; the model is optimal until battery renovation times are increased to three.

A Structured Literature Review on Obsolete Electric Vehicles Management Practices

“…A comparison among recycling methods is proposed by some authors [47], in which the final result defines the role of recycling policies that aim to incentivize battery collection and emissions reductions ( Table 2). [48] x [49] x [50] x [51] x [52] x [53] x [54] x [55] x [18] x [42] x [56] x [57] x [21] x [58] x [50] x [59] x [60] x [61] x [62] x [63] x [64] x [65] x [66] x [67] x [68] x [69] x [70] x [71] x [72] x [73] x [42] x [74] x [75] x [76] x [77] x [78] x [79] x [80] x [46] x [81] x [82] x [13] x…”

Reducing Perceived Urban Rail Transfer Time with Ordinal Logistic Regressions

“…Facing up to more and more serious traffic problems caused by frequent car usage, people are increasingly aware of the importance of changing their travel behaviour from excessively depending on cars to mainly using public travel modes [2,6]. Though taking negative effect on the automotive industry which is, to some extent, important in national economy [7], such changes are encouraged by official policies [8,9]. However, many people still prefer to utilise private cars in priority, mainly due to unsatisfactory transfers between public transit routes.…”

Finding Key Factors Affecting the Locations of Electric Vehicle Charging Stations: a Simulation and ANOVA Approach

“…Exponential distribution CS5 Experiment Total RAF (%) 6 1, n -s); thus, the passenger distribution is a factor affecting the location of EV charging stations (Table VIII). It can be concluded that priority is not a factor affecting the location of EV charging stations and that mileage, the EV distribution and the passenger distribution are factors affecting the location of EV charging stations.…”

“…However, there are a number of factors that hinder the development of the EV industry, including mileage (battery), the charging time, and charging convenience as well as the purchasing price of EVs, the performance of the vehicle, and battery recycling, among others [3][4][5][6].…”