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Dynamic Modeling and Simulation of a Switched Reluctance Motor in a Series Hybrid Electric Vehicle
Siavash Sadeghi,Mojtaba Mirsalim,Arash Hassanpour Isfahani
Acta Polytechnica Hungarica , 2010,
Abstract: Dynamic behavior analysis of electric motors is required in order to accuratelyevaluate the performance, energy consumption and pollution level of hybrid electricvehicles. Simulation tools for hybrid electric vehicles are divided into steady state anddynamic models. Tools with steady-state models are useful for system-level analysiswhereas tools that utilize dynamic models give in-depth information about the behavior ofsublevel components. For the accurate prediction of hybrid electric vehicle performance,dynamic modeling of the motor and other components is necessary. Whereas the switchedreluctance machine is well suited for electric and hybrid electric vehicles, due to the simpleand rugged construction, low cost, and ability to operate over a wide speed range atconstant power, in this paper dynamic performance of the switched reluctance motor for eseries hybrid electric vehicles is investigated. For this purpose a switched reluctance motorwith its electrical drive is modeld and simulated first, and then the other components of aseries hybrid electric vehicle, such as battery, generator, internal combusion engine, andgearbox, are designed and linked with the electric motor. Finally a typical series hybridelectric vehicle is simulated for different drive cycles. The extensive simulation results showthe dynamic performance of SRM, battery, fuel consumption, and emissions.
Dynamic modeling and simulation of an induction motor with adaptive backstepping design of an input-output feedback linearization controller in series hybrid electric vehicle
Jalalifar Mehran,Payam Farrokh Amir,Nezhad Saghaeian Morteza Seyed,Moghbeli Hassan
Serbian Journal of Electrical Engineering , 2007, DOI: 10.2298/sjee0702119j
Abstract: In this paper using adaptive backstepping approach an adaptive rotor flux observer which provides stator and rotor resistances estimation simultaneously for induction motor used in series hybrid electric vehicle is proposed. The controller of induction motor (IM) is designed based on input-output feedback linearization technique. Combining this controller with adaptive backstepping observer the system is robust against rotor and stator resistances uncertainties. In additional, mechanical components of a hybrid electric vehicle are called from the Advanced Vehicle Simulator Software Library and then linked with the electric motor. Finally, a typical series hybrid electric vehicle is modeled and investigated. Various tests, such as acceleration traversing ramp, and fuel consumption and emission are performed on the proposed model of a series hybrid vehicle. Computer simulation results obtained, confirm the validity and performance of the proposed IM control approach using for series hybrid electric vehicle.
Control strategy optimization using dynamic programming method for synergic electric system on hybrid electric vehicle  [PDF]
Yuan-Bin Yu, Qing-Nian Wang, Hai-Tao Min, Peng-Yu Wang, Chun-Guang Hao
Natural Science (NS) , 2009, DOI: 10.4236/ns.2009.13030
Abstract: Dynamic Programming (DP) algorithm is used to find the optimal trajectories under Beijing cycle for the power management of synergic electric system (SES) which is composed of battery and super capacitor. Feasible rules are derived from analyzing the optimal trajectories, and it has the highest contribution to Hybrid Electric Vehicle (HEV). The methods of how to get the best performance is also educed. Using the new Rule-based power management strat-egy adopted from the optimal results, it is easy to demonstrate the effectiveness of the new strategy in further improvement of the fuel economy by the synergic hybrid system.
Dynamic Coordinated Shifting Control of Automated Mechanical Transmissions without a Clutch in a Plug-In Hybrid Electric Vehicle  [PDF]
Hongwen He,Zhentong Liu,Liming Zhu,Xinlei Liu
Energies , 2012, DOI: 10.3390/en5083094
Abstract: On the basis of the shifting process of automated mechanical transmissions (AMTs) for traditional hybrid electric vehicles (HEVs), and by combining the features of electric machines with fast response speed, the dynamic model of the hybrid electric AMT vehicle powertrain is built up, the dynamic characteristics of each phase of shifting process are analyzed, and a control strategy in which torque and speed of the engine and electric machine are coordinatively controlled to achieve AMT shifting control for a plug-in hybrid electric vehicle (PHEV) without clutch is proposed. In the shifting process, the engine and electric machine are well controlled, and the shift jerk and power interruption and restoration time are reduced. Simulation and real car test results show that the proposed control strategy can more efficiently improve the shift quality for PHEVs equipped with AMTs.
Comparative Study of Dynamic Programming and Pontryagin’s Minimum Principle on Energy Management for a Parallel Hybrid Electric Vehicle  [PDF]
Zou Yuan,Liu Teng,Sun Fengchun,Huei Peng
Energies , 2013, DOI: 10.3390/en6042305
Abstract: This paper compares two optimal energy management methods for parallel hybrid electric vehicles using an Automatic Manual Transmission (AMT). A control-oriented model of the powertrain and vehicle dynamics is built first. The energy management is formulated as a typical optimal control problem to trade off the fuel consumption and gear shifting frequency under admissible constraints. The Dynamic Programming (DP) and Pontryagin’s Minimum Principle (PMP) are applied to obtain the optimal solutions. Tuning with the appropriate co-states, the PMP solution is found to be very close to that from DP. The solution for the gear shifting in PMP has an algebraic expression associated with the vehicular velocity and can be implemented more efficiently in the control algorithm. The computation time of PMP is significantly less than DP.
并联式混合动力汽车驱动模式切换协调控制方法
Dynamic coordinated control method of driving mode switch of parallel hybrid electric vehicle
 [PDF]

王伟华,王文楷,冯博,范永凯
- , 2017,
Abstract: 在并联式混合动力汽车驱动模式切换过程中,以整车动力需求转矩不发生波动与车速稳定跟随期望值为控制目标,提出了基于车轮转速差PID控制的电机转矩补偿控制方法; 分析了模式切换时混合动力汽车动力传动系统的频域特性,基于车轮实际转速与期望转速的差值,通过PID闭环控制计算补偿转矩,由永磁同步电机提供补偿转矩,来解决模式切换时2种动力源之间的动态协调控制问题; 利用AVL Cruise和MATLAB仿真平台建立了混合动力汽车动态协调控制模型,对转矩补偿控制方法进行仿真验证。仿真结果表明:相比于无动态协调控制的模式切换,采用动态协调控制方法时的总输出转矩的响应时间从0.90 s降低到0.08 s,总输出转矩控制精度提高了11.1%,跟踪期望车速的精度提高了8.0%,整车的动力性提高了4.4%,因此,采用动态协调控制方法降低了并联式混合动力汽车模式切换中总输出转矩的波动,提高了车速跟随期望值的精度,有效保证了汽车的动力性和行驶平顺性。
In the driving mode switch of parallel hybrid electric vehicle(HEV), a control method of motor torque compensation was put forward based on the PID control of the difference of wheel angular velocity, and the control objective was that the demand torque of vehicle power did not fluctuate and vehicle speed steadily followed its expectation. The frequency-domain characteristics of HEV driveline in the mode switch were analyzed. Based on the difference between actual and expected angular velocity of wheel, the compensation torque was computed by the PID closed-loop control and provided by the permanent magnet synchronous motor(PMSM)to solve the dynamic coordinated control problem of two kinds of power sources in mode switch. A HEV dynamic coordinated control model was built by using two simulation platforms of AVL Cruise and MATLAB, and the control method was simulated and verified by using the control model. Simulation result shows that compared with the mode switch without dynamic coordinated control, when the dynamic coordinated control method is used, the response time of total output torque reduces from 0.90 s to 0.08 s, the control precision of total output torque increases by 11.1%, the precision of following expected speed increases by 8.0%, and vehicle’s power performance increases by 4.4%. Obviously, the dynamic coordinated control method reduces the fluctuation of total output torque during HEV mode switch, improves the following precision of speed, and effectively guarantees the power performance and driving comfort of vehicle. 12 figs, 24 refs
Control strategy of series hybrid electric vehicle based on improved dynamic programming
基于改进型动态规划算法的串联混合动力汽车控制策略

SHEN Cai-ying,XIA Chao-ying,
申彩英
,夏超英

控制理论与应用 , 2011,
Abstract: Hybrid electric vehicles(HEV) are usually powered by two different energy sources. Typically, those are equipped with an internal combustion engine and a bank of batteries. In a given driving cycle, it is important to minimize the total fuel consumption by properly sharing the instantaneous power between the two energy sources. This problem is solved by using the improved dynamic programming(IDP) algorithm. Simulation results from PSATv6.1 indicate that this algorithm helps saving fuel consumption more than the Thermostat approach. In the operation, this algorithm requires smaller memory capacity and reduces the operation time to 28.47% of the unimproved dynamic programming algorithm.
Performance Characteristics of the Series Hybrid Electric Vehicle with Hybrid Mode
Ibrahim A.M. Abdel- Halim,Mohsen Z. Elsherif,Mohamed M. Fathy
International Journal of Electrical and Power Engineering , 2012, DOI: 10.3923/ijepe.2010.96.104
Abstract: In this study, the equations describing the performance of the series hybrid electric vehicle are derived. Performance characteristics for each part in the vehicle system are obtained when the vehicle is operating in hybrid mode in which the drive motor takes its power from main and peaking power sources.
Study on Forward-Facing Model and Real-Time Simulation for a Series Hybrid Electric Vehicle  [cached]
Xudong Liu,Qingwu Fan,Banggui Zheng,Jianmin Duan
Research Journal of Applied Sciences, Engineering and Technology , 2011,
Abstract: To shorten design period and reduce development costs, computer modeling and simulation is important for HEV design and development. In this paper, real-time simulation for a Series Hybrid Electric Vehicle (SHEV) is made to verify its fuzzy logic control strategy based on dSPACE-DS1103 development kits. The whole real-time simulation schematic is designed and the vehicle forward-facing simulation model is set up. Modeling methods for the driver, controller and vehicle (includes engine, generator, motor, battery, etc.) under MATLAB/Simulink environment are discussed in detail. Driver behavior is simulated by two potentiometers and introduced into the real-time system to realize close-loop control. A real-time monitoring interface is also developed to observe the experiment results. Experiment results show that the real-time simulation platform works well and the SHEV fuzzy logic control strategy is effective.
MATHEMATICAL MODEL OF HYBRID ELECTRIC VEHICLE HIGH-VOLTAGE BATTERY IDENTIFICATION
S. Serikov
Аvtomob?lnyi Transport , 2010,
Abstract: The mathematical model of hybrid electric vehicle NiMH high-voltage battery is obtained. This model allows to explore the interaction of vehicle tractive electric drive and high-voltage battery at the electric motive power motion and in the process of recuperation of braking kinetic energy.
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