An Online Control Method for Energy Recovery of Suspension Vibration of New Energy Vehicles

doi:10.7652/xjtuxb202004003

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An Online Control Method for Energy Recovery of Suspension Vibration of New Energy Vehicles

更新时间：2025-07-09

- An Online Control Method for Energy Recovery of Suspension Vibration of New Energy Vehicles
- Vol. 54, Issue 4, Pages: 19-26(2020)
- 作者机构：
  
  1. 西安交通大学陕西省智能机器人重点实验室,西安,710049
  2. 西安交通大学机械制造与系统工程国家重点实验室,西安,710049
  3. 西安交通大学机械工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202004003
  CLC： TH113.1
- Online First：10 April 2020，
  
  Published：2020
- 稿件说明：
移动端阅览
An Online Control Method for Energy Recovery of Suspension Vibration of New Energy Vehicles[J]. 2020, 54(4): 19-26.
DOI：

An Online Control Method for Energy Recovery of Suspension Vibration of New Energy Vehicles[J]. 2020, 54(4): 19-26. DOI： 10.7652/xjtuxb202004003.

摘要

针对目前新能源汽车悬架中阻尼器阻尼调节复杂、能耗大的问题

提出了一种高效的电磁阻尼器阻尼系数在线控制方法

同时实现振动能量的回收。该方法使用由直流电机和滚珠丝杠机构组成的电磁阻尼器

首先设计了基于高频DC-DC变换器的阻尼调节电路

通过调节驱动功率场效应晶体管(MOSFET)的脉宽调制(PWM)信号占空比

其输出电压可基于输入电压进行调节; 然后在阻尼器工作过程中计算目标电磁转矩

求出达到该参考转矩需要的电枢电流。另一方面

在工作过程中不断采集实际电枢电流

并将该实际电流送至PI控制器进行PI闭环调节

输出驱动PWM信号的占空比; 最后由PWM控制器以1 kHz的调节频率驱动DC-DC变换器

实现目标转矩的跟随和能量回收。基于实车的相关参数搭建了1/4悬架系统实验台架

实验结果表明

该电磁悬架系统可回收约184 W的振动能量

响应速度可达10 Hz

验证了阻尼系数调节和控制方法的有效性。

Abstract

An efficient online control method of the electromagnetic damper damping coefficient is proposed to deal with the problem that the damping adjustment of damper in suspension of present new energy vehicle is complicated and energy consuming

and the vibration energy is recovered at the same time. The method uses an electromagnetic damper that consists of a DC motor and a ball screw mechanism. First

a damping adjustment circuit based on a high-frequency DC-DC converter is designed. Its output voltage is adjusted based on input voltage by adjusting the duty cycle of the PWM signal that drives the power MOSFET. Then the target electromagnetic torque is calculated during the working process of the damper

and the armature current required to reach the reference torque is calculated. On the other hand

the actual armature current is continuously collected during the working process

and the current is sent to a PI controller for PI closed-loop adjustment to output the duty cycle of the driv

关键词

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references

李玉, 徐俊, 彭程, 等. 结合变压器正反激原理的动力电池主动均衡方法 [J]. 西安交通大学学报, 2019, 53(8): 151-158.

LI Yu, XU Jun, PENG Chen, et al. An active equalization technology for power batteries based on forward-flyback principle of transformers [J]. Journal of Xi’an Jiaotong University, 2019, 53(8): 151-158.

赵云飞, 徐俊, 王霄, 等. 双自适应衰减卡尔曼滤波锂电池荷电状态估计 [J]. 西安交通大学学报, 2018, 52(12): 99-105.

ZHAO Yunfei, XU Jun, WANG Xiao, et al. An estimation method for state of charge of lithium-ion batteries using dual adaptive fading extended Kalman filter [J]. Journal of Xi’an Jiaotong University, 2018, 52(12): 99-105.

赵云飞, 徐俊, 王海涛, 等. 采用Morlet小波的锂电池相对健康状态估计 [J]. 西安交通大学学报, 2019, 53(12): 97-103.

ZHAO Yunfei, XU Jun, WANG Haitao, et al. An estimation method for relative health of lithium-ion batteries using Morlet wavelet [J]. Journal of Xi’an Jiaotong University, 2019, 53(12): 97-103.

ZHANG Yunxin, GUO Konghui, DAI Wang, et al. Energy conversion mechanism and regenerative potential of vehicle suspensions [J]. Energy, 2016, 119: 961-970.

ZUO Lei, ZHANG Peisheng. Energy harvesting, ride comfort, and road handling of regenerative vehicle suspensions [J]. Journal of Vibration and Acoustic, 2011, 135(1): 011002.

蒲晓晖, 徐俊, 李士盈, 等. 电磁阻尼器惯性质量对汽车馈能悬架减振性能的影响 [J]. 西安交通大学学报, 2019, 53(6): 62-68.

PU Xiaohui, XU Jun, LI Shiying, et al. Effects of inertial mass of electromagnetic damper on vibration insulation performance of vehicle regenerative suspension [J]. Journal of Xi’an Jiaotong University, 2019, 53(6): 62-68.

喻凡, 张勇超, 张国光. 车辆电磁悬架技术综述 [J]. 汽车工程, 2012, 34: 569-574.

YU Fan, ZHANG Yongchao, ZHANG Guoguang. Review on vehicle electromagnetic suspension technology [J]. Automotive Engineering, 2012, 34: 569-574.

DONAHUE M, HEDRICK J K. Implementation of an active suspension, preview controller for improved ride comfort [EB/OL].(2002-06-10)[2019-03-15]. https:∥pdfs.semanticscholar.org/6fb0/db509924ce033fdc03 86b69c2b9fef7bbbaf.pdf?_ga=2.237426182.7496261 43.1582594521-1618960359.1582594521.

SEO Y, HAN S, CHOI J. Searching for a stable high-performance magneto-rheological suspension [J]. Advanced Materials, 2018, 30(42): 1-13.

JEYASENTHIL R, CHOI B. A novel semi-active control strategy based on the quantitative feedback theory for a vehicle suspension system with magneto-rheological damper saturation [J]. Mechatronics, 2018, 54: 36-51.

CHENG Mingxing, JIAO Xiaohong. Modified active disturbance rejection control for non-linear semi-active vehicle suspension with magneto-rheological damper [J]. Transactions of the Institute of Measurement and Control, 2018, 40(8): 2611-2621.

DONG Xiaomin, LIU Weiqi, AN Guopeng. A novel rotary magneto-rheological flexible joint with variable stiffness and damping [J]. Smart Materials and Structures, 2018, 27(10): 1-25.

SABZEHGAR R, MARAVANDI A, MOALLEM M. Energy regenerative suspension using an algebraic screw linkage mechanism [J]. IEEE-ASME Transactions on Mechatronics, 2014, 19(4): 1251-1259.

MARAVANDI A, MOALLEM M. Regenerative shock absorber using a two-leg motion conversion mechanism [J]. IEEE-ASME Transactions on Mechatronics, 2015, 20(6): 2853-2861.

WANG Peng, MEI T, ZHANG Jiye, et al. Self-powered active lateral secondary suspension for railway vehicles [J]. IEEE Transactions on Vehicular Technology, 2016, 65, 3: 1121-1129.

张国光, 张永超, 喻凡. 车辆电动悬架的混合不确定建模与μ综合控制器设计 [J]. 汽车工程, 2012, 12(34): 1100-1106.

ZHANG Guoguang, ZHANG Yongchao, YU Fan. Mixed uncertainty modeling and μ synthesis controller design for vehicle active suspension with motor actuator [J]. Automotive Engineering, 2012, 12(34): 1100 -1106.

许广灿, 徐俊, 李士盈, 等. 电动汽车振动能量回收悬架及其特性优化 [J]. 西安交通大学学报, 2016, 50(8): 90-95.

XU Guangcan, XU Jun, LI Shiying, et al. Energy regenerative suspension and its performance optimization for electric vehicle [J]. Journal of Xi’an Jiaotong University, 2016, 50(8): 90-95.

NING Donghong, SUN Shuangshuai, DU Haiping, et al. Vibration control of an energy regenerative seat suspension with variable external resistance [J]. Mechanical Systems and Signal Processing, 2018, 106: 94-113.

XIE Longhan, LI Jiehong, LI Xiaodong, et al. Damping-tunable energy-harvesting vehicle damper with multiple controlled generators: design, modeling and experiments [J]. Mechanical Systems and Signal Processing, 2018, 99: 859-872.

NING Donghong, DU Haiping, SUN Shuaishuai. An energy saving variable damping seat suspension system with regeneration capability [J]. IEEE Transactions on Industrial Electronics, 2018, 65(10): 8080-8091.

张亮修,王宇,吴光强,等.汽车阻尼可调半主动悬架混杂模型预测控制.2017,51(11):156-164.[doi:10.7652/xjtuxb 201711022]

李超超,向建华,王慧敏.汽车保险杠系统吸能盒结构参数对低速碰撞下吸能特性的影响.2017,51(10):77-81.[doi:10.7652/xjtuxb201710013]

毛阳,陈志勇,史文库,等.磁流变液双质量飞轮扭振减振特性研究.2014,48(6):127-133.[doi:10.7652/xjtuxb201406 022]

黄康,王强,邱明明,等.考虑模式切换频率的多模式混合动力汽车参数优化.2019,53(7):99-107.[doi:10.7652/xjtuxb 201907015]

郭涛,李国君.内嵌晃荡液体减振的流固耦合分析.2014,48(9):117-122.[doi:10.7652/xjtuxb201409020]

邓涛,罗俊林,韩海硕,等.混合动力汽车工况识别自适应能量管理策略.2018,52(1):77-83.[doi:10.7652/xjtuxb2018 01012]

袁希文,文桂林,周兵.考虑侧向稳定性的分布式电驱动汽车制动滑移率控制.2015,49(5):43-48.[doi:10.7652/xjtuxb 201505007]

许建,张政,李翔,等.独立驱动电动汽车横摆力矩的模糊控制算法.2014,48(7):83-89.[doi:10.7652/xjtuxb201407015]

马世伦,张学义,耿慧慧,等.电动汽车新型永磁同步电机的非均匀气隙建模及性能分析.2019,53(1):70-76.[doi:10.7652/xjtuxb201901009]

郭涛,管志成,孙光普,等.调频振子-液体联合水平减振的流固耦合机理研究.2016,50(1):28-33.[doi:10.7652/xjtuxb 201601005]

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