| MULTI-OBJECTIVE OPTIMIZATION METHOD WITH MULTI CONTROL
VARIABLES AND ITS APPLICATION IN CONFIGURATION
COMPARISON OF COMBINATION HEV |
| Junping Xie , Zhihao Liang , Kegang Zhao , Maoyu Mai |
| South China University of Technology |
|
|
|
|
|
|
|
| ABSTRACT |
|
Combination hybrid electric vehicle (HEV) mainly includes two configurations: series-parallel and power-split.
It is necessary to consider a variety of metrics to comprehensively evaluate the configuration performance of HEV and
compare the two configurations. In order to fully evaluate the HEVs’ potential in energy management, a practical and
effective multi-objective method that can solve the global optimization-based energy management problem is needed. Based
on the idea of dynamic programming (DP) and non-dominated sorting method, this paper proposes a global multi-objective
optimization method of non-dominated sorting dynamic programming (NSDP) with multi-control variables. This algorithm
can calculate a set of uniformly distributed Pareto solutions for the conflicting or coupling optimization objectives, and the
performance of the solution set is improved due to the increase in the dimension of the control variables, which increases the
strategy search space. NSDP is applied to two different configurations to fully evaluate the performance of fuel consumption
and battery lifespan. The parameters of the configurations are optimized and comprehensively compared based on the
implementation of NSDP. The above process can provide theoretical analysis for hybrid power system developers. |
| Key Words:
Hybrid electric vehicle (HEV), Multi-objective optimization, Multi control variables, Non-dominated
sorting dynamic programming, Configuration comparison |
|
|
|
Corresponding Author.
Kegang Zhao , Email. 
Preview
Full text via DOI
Download Citation 
Print 
