首页|面向ECE法规的电车再生制动复合控制研究

面向ECE法规的电车再生制动复合控制研究

扫码查看
电动汽车能量及行驶距离是其重要参照数据,为提高两项性能策略优化,根据ECER13法规曲线和I线的再生制动控制方法,可以在前、后轴之间进行分配以确保车辆的安全性和稳定性;其次,在液压制动和电动机制动之间进行分配,根据不同的制动强度,分为四类进行研究;最后建立模型,嵌入到AVL_CRUISE软件中,选用NEDC和CLTC_P两种工况联合仿真.结果表明,此方案可满足制动稳定性的需求,其动力分配曲线也契合相应的制动特征,能够高效地回收制动能量,强化电池荷电状态(SOC),提升电动汽车的续驶能力.
Research on Hybrid Control Strategy of Regenerative Braking for Electric Vehicles Under ECE Regulation
The energy and driving distance of electric vehicle are important reference data.In order to optimize the two perfor-mance strategies,according to the curve of ECER13 regulation and the regenerative braking control method of line I,the front and rear axles can be allocated to ensure the safety and stability of the vehicle;Secondly,the distribution between hydraulic brak-ing and motor braking is divided into four categories according to different braking strength;Finally,the model is built and em-bedded into AVL_In cruise software,NEDC and CLTC are selected_P two kinds of conditions co-simulation.The results show that this scheme can meet the demand of braking stability,and its power distribution curve also fits the corresponding braking characteristics.It can efficiently recover braking energy,strengthen the state of charge(SOC)of battery,and improve the driving ability of electric vehicles.

Electric VehiclesFuzzy ControlCo-SimulationBraking Energy Recovery

李培庆、吴兴康、陈一锴、李昊

展开 >

浙江科技学院机械与能源工程学院,江苏 杭州 310023

浙江省食品物流装备技术研究重点实验室,江苏 杭州 310023

浙江大学机械工程学院,江苏 杭州 310058

合肥工业大学汽车与交通工程学院,安徽 合肥 230009

展开 >

电动汽车 模糊控制 联合仿真 制动能量回收

浙江省自然科学基金项目国家自然科学基金国家自然科学基金浙江省教育厅一般项目

LGG18E0800055174181071871078Y202044473

2024

机械设计与制造
辽宁省机械研究院

机械设计与制造

CSTPCD北大核心
影响因子:0.511
ISSN:1001-3997
年,卷(期):2024.399(5)
  • 9