电气传动2019，Vol.49Issue(2)：49-55,7.DOI:10.19457/j.1001-2095.dqcd18421
基于遗传算法的电动汽车HESS功率优化分配
Optimization of HESS Power Allocation for Electric Vehicle Based on Genetic Algorithm
摘要
Abstract
To overcome the difficulty of optimal power distribution of different working modes in battery and super capacitor hybrid energy storage system of electric vehicles,an optimized hybrid energy management strategy based on genetic algorithm was proposed. The different working modes of energy storage system were classified management and a target function with minimal output demand with power error of the energy management system was built. The genetic algorithm was utilized to solve the objective function. The output coefficients of lithium-ion batteries and super capacitors were obtained to optimize power allocation. Finally,a hybrid energy storage system simulation model and the experimental platform were built for simulation and verification. The results show that under EUDS and UDDS scheduling,compared with traditional hysteresis control,the energy management using genetic algorithm can reduce the total loss by 1.2% and 0.9%.关键词
电动汽车/遗传算法/工作模式/混合储能系统/功率分配Key words
electric vehicle/genetic algorithm/working modes/hybrid energy storage system(HESS)/power distribution分类
信息技术与安全科学引用本文复制引用
吴铁洲,薛竹山,向富超,张振东..基于遗传算法的电动汽车HESS功率优化分配[J].电气传动,2019,49(2):49-55,7.基金项目
国家自然科学基金(51677058) （51677058）
