Name
Title | ||
|---|---|---|
Geometric-Process-Based Battery Management Modeling And Optimization In The Electric Vehicle Battery Switching Station |
Abstract | ||
|---|---|---|
The electric vehicle has been a global trend in the vehicle industry under the rapid development of the smart grid. One of the most important factors that restricts the development of the electric vehicle is the EV battery' management for its high replacement cost. This paper proposes a geometric-process-based battery management model with the consideration of the battery's deterioration after repairing, the availability demand and the cost minimization. By applying the geometric-process to the operation time and repair time in the whole life of the battery, and adopting the Monte Carlo method to simulation, the result denotes its consistency and rationality and makes a verification on the effective management of the battery. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 11TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC) | Battery Management, Geometric-Process-Based Model, Availability, Average Cost Rate |
Field | DocType | Citations |
Automotive engineering,Monte Carlo method,Mathematical optimization,Management model,Smart grid,Computer science,Simulation,Electric vehicle,Geometric process,Minification,Electric-vehicle battery,Battery (electricity) | Conference | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peng Han | 1 | 4 | 1.84 |
| jinkuan wang | 2 | 94 | 33.64 |
| Xin Song | 3 | 15 | 6.88 |
| Yan Li | 4 | 1 | 1.09 |