Integrated energy-oriented lateral stability control of a four-wheel-independent-drive electric vehicle
Source abstract
Abstract
Improving the energy efficiency of an electric vehicle (EV) is an effective approach to extend its driving range. This paper proposes an integrated energy-oriented lateral stability controller (IESC) for a four-wheel independent-drive EV (4WID-EV) to optimize its energy consumption while maintaining vehicular stability during cornering. The IESC is a hierarchical controller with two levels. The high-level decision-making controller determines the virtual control inputs, i.e., the desired additional yaw moment and total wheel torque, while the low-level controller allocates the motor torques according to the virtual control inputs. In the high-level controller, the desired additional yaw moment is first calculated using a linear quadratic regulator (LQR) to minimize the control expenditure. Meanwhile, a stability weighting factor (SWF) based on phase plane analysis is proposed to adjust the additional yaw moment, which can reduce the additional energy consumption caused by the mismatch between the reference model and the actual vehicle. In addition to the yaw moment, the desired total wheel torque is calculated using a proportional-integral (PI) controller to track the desired longitudinal velocity. In the low-level controller, a multi-objective convex-optimization problem is established to optimize the motor torque by minimizing the energy consumption and considering the tire-road frictional limit and motor saturation. A globally optimal solution is obtained by using an active-set method. Finally, double-lane change (DLC) simulations are conducted using CarSim and MATLAB/Simulink. The simulation results demonstrate that the proposed controller achieves great lateral stability control performance and reduces the energy consumption by 5.23% and 2.95% compared with the rule-based control strategy for high- and low-friction DLC maneuvers, respectively.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Vehicle Dynamics and Control Systems · Electric and Hybrid Vehicle Technologies · Traffic control and management
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (34)
Show source-provided references
1. Hori Y. Future vehicle driven by electricity and control—research on four-wheel-motored “UOT electric March II”. IEEE Trans Ind Electron, 2004, 51: 954–96210.1109/TIE.2004.834944 ↗
2. Chen Y, Wang J. Design and experimental evaluations on energy efficient control allocation methods for overactuated electric vehicles: Longitudinal motion case. IEEE/ASME Trans Mechatron, 2014, 19: 538–54810.1109/TMECH.2013.2249591 ↗
3. Zhuang W, Zhang X, Ding Y, et al. Comparison of multi-mode hybrid powertrains with multiple planetary gears. Appl Energy, 2016, 178: 624–63210.1016/j.apenergy.2016.06.111 ↗
4. Zhang L P, Li L, Qi B N, et al. Parameters optimum matching of pure electric vehicle dual-mode coupling drive system. Sci China Tech Sci, 2014, 57: 2265–227710.1007/s11431-014-5651-9 ↗
5. Zhuang W, Zhang X, Yin G, et al. Mode shift schedule and control strategy design of multimode hybrid powertrain. IEEE Trans Contr Syst Tech, 2019, doi: https://doi.org/10.1109/TCST.2019.289579910.1109/TCST.2019.2895799 ↗
6. Qiu L H, Qian L J, Zomorodi H, et al. Design and optimization of equivalent consumption minimization strategy for 4WD hybrid electric vehicles incorporating vehicle connectivity. Sci China Tech Sci, 2018, 61: 147–15710.1007/s11431-016-9141-x ↗
7. Yin G D, Jin X J, Qing Z Y, et al. Lateral stability region conservativeness estimation and torque distribution for FWIA electric vehicle steering. Sci China Tech Sci, 2015, 58: 669–67610.1007/s11431-014-5687-x ↗
8. Kim J. Optimal power distribution of front and rear motors for minimizing energy consumption of 4-wheel-drive electric vehicles. Int J Automot Technol, 2016, 17: 319–32610.1007/s12239-016-0032-y ↗
9. Zhang X, Göhlich D. Integrated traction control strategy for distributed drive electric vehicles with improvement of economy and longitudinal driving stability. Energies, 2017, 10: 12610.3390/en10010126 ↗
10. Li G, Yang Z. Energy saving control based on motor efficiency map for electric vehicles with four-wheel independently driven in-wheel motors. Adv Mech Eng, 2018, 10: 1–18
11. Qian H, Xu G, Yan J, et al. Energy management for four-wheel independent driving vehicle. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots & Systems. IEEE, 2010
12. Wang Y, Fujimoto H, Hara S. Torque distribution-based range extension control system for longitudinal motion of electric vehicles by LTI modeling with generalized frequency variable. IEEE/ASME Trans Mech, 2016, 21: 443–452
13. Kang L, Shen H, Sarker A. Velocity optimization of pure electric vehicles with traffic dynamics consideration. In: Proceedings of the IEEE International Conference on Distributed Computing Systems. IEEE, 201710.1109/ICDCS.2017.220 ↗
14. Chen Y, Li X, Wiet C, et al. Energy management and driving strategy for in-wheel motor electric ground vehicles with terrain profile preview. IEEE Trans Ind Inf, 2014, 10: 1938–194710.1109/TII.2013.2290067 ↗
15. Kang J, Yoo J, Yi K. Driving control algorithm for maneuverability, lateral stability, and rollover prevention of 4WD electric vehicles with independently driven front and rear wheels. IEEE Trans Veh Technol, 2011, 60: 2987–300110.1109/TVT.2011.2155105 ↗
16. Goggia T, Sorniotti A, De Novellis L, et al. Integral sliding mode for the torque-vectoring control of fully electric vehicles: Theoretical design and experimental assessment. IEEE Trans Veh Technol, 2015, 64: 1701–171510.1109/TVT.2014.2339401 ↗
17. Croft-White M, Harrison M. Study of torque vectoring for all-wheel-drive vehicles. Vehicle Syst Dyn, 2006, 44: 313–32010.1080/00423110600871400 ↗
18. Parra A, Zubizarreta A, Pérez J, et al. Intelligent torque vectoring approach for electric vehicles with per-wheel motors. Complexity, 2018, doi: 10.1155/2018/7030184
19. Wong A, Kasinathan D, Khajepour A, et al. Integrated torque vectoring and power management framework for electric vehicles. Control Eng Practice, 2016, 48: 22–3610.1016/j.conengprac.2015.12.012 ↗
20. De Novellis L, Sorniotti A, Gruber P. Optimal wheel torque distribution for a four-wheel-drive fully electric vehicle. SAE Technical Paper, 2013, 2013-01-067310.4271/2013-01-0673 ↗
21. Alipour H, Sabahi M, Bannae Sharifian M B. Lateral stabilization of a four wheel independent drive electric vehicle on slippery roads. Mechatronics, 2015, 30: 275–28510.1016/j.mechatronics.2014.08.006 ↗
22. Han Z, Xu N, Chen H, et al. Energy-efficient control of electric vehicles based on linear quadratic regulator and phase plane analysis. Appl Energy, 2018, 213: 639–65710.1016/j.apenergy.2017.09.006 ↗
23. Zhang X, Göhlich D. Improvement in the vehicle stability of distributed-drive electric vehicles based on integrated model-matching control. Proc Institution Mech Engineers Part D-J Automobile Eng, 2017, 232: 341–35610.1177/0954407017701284 ↗
24. Wang R, Zhang H, Wang J, et al. Robust lateral motion control of four-wheel independently actuated electric vehicles with tire force saturation consideration. J Franklin Institute, 2015, 352: 645–66810.1016/j.jfranklin.2014.09.019 ↗
25. Wang R, Hu C, Wang Z, et al. Integrated optimal dynamics control of 4WD4WS electric ground vehicle with tire-road frictional coefficient estimation. Mech Syst Signal Processing, 2015, 60–61: 727–74110.1016/j.ymssp.2014.12.026 ↗
26. Ren B, Zhao H, Deng W, et al. Model predictive control allocation for stability improvement of four-wheel drive electric vehicles in critical driving condition. IET Control Theor Appl, 2015, 9: 2688–269610.1049/iet-cta.2014.0523 ↗
27. Ren B, Chen H, Zhao H, et al. MPC-based yaw stability control in in-wheel-motored EV via active front steering and motor torque distribution. Mechatronics, 2016, 38: 103–11410.1016/j.mechatronics.2015.10.002 ↗
28. Zhai L, Sun T, Wang J. Electronic stability control based on motor driving and braking torque distribution for a four in-wheel motor drive electric vehicle. IEEE Trans Veh Technol, 2016, 65: 4726–473910.1109/TVT.2016.2526663 ↗
29. Zhang X, Göhlich D, Zheng W. Karush-Kuhn-Tuckert based global optimization algorithm design for solving stability torque allocation of distributed drive electric vehicles. J Franklin Institute, 2017, 354: 8134–815510.1016/j.jfranklin.2017.10.005 ↗
30. Park J, Jeong H, Jang I, et al. Torque distribution algorithm for an independently driven electric vehicle using a fuzzy control method. Energies, 2015, 8: 8537–856110.3390/en8088537 ↗
31. Li Y, Zhang J, Lv C, et al. Coordinated control of the steering system and the distributed motors for comprehensive optimization of the dynamics performance and the energy consumption of an electric vehicle. Proc Institution Mech Engineers Part D-J Automobile Eng, 2016, 231: 1605–162610.1177/0954407016677917 ↗
32. Chen Y, Wang J. Fast and global optimal energy-efficient control allocation with applications to over-actuated electric ground vehicles. IEEE Trans Contr Syst Technol, 2012, 20: 1202–121110.1109/TCST.2011.2161989 ↗
33. Sun W, Wang J N, Wang Q N, et al. Simulation investigation of tractive energy conservation for a cornering rear-wheel-independent-drive electric vehicle through torque vectoring. Sci China Tech Sci, 2018, 61: 257–27210.1007/s11431-017-9139-5 ↗
34. Inagaki S, Kushiro I, Yamamoto M. Analysis on vehicle stability in critical cornering using phase-plane method. JSAE Rev, 1996, 16: 287–292