The differential torque of four in-wheel-motor drive electric automotive will affect vehicle stability, and applications of the differential driven assisting steering (DDAS) will be limited consequentially. To solve this problem, stability analysis and control system design is essential, therefore a DDAS stability control system is designed based on the layered control of yaw moment. Correlation functions are used to reflect the shifts of vehicle characteristic state between stable and unstable states, and help to determine the control weight of each subsystem in the lower-layer controller. In the lower-layer controller, the strategy of direct steering-wheel torque control is used to build a DDAS controller. Under different vehicle moving states, differential driving torque and yaw moment vary with the change of the control weights; and according to the theory of quadratic programming, optimal allocation of four-wheel driving torques will be made according to the total driving torque. The effectiveness of the proposed control system is verified by numerical simulation and hardware-in-the-loop experiment. The results show that the proposed control method can improve vehicle stability and ensure driving safety.
ZhaiLSunTWangJ. Electronic stability control based on motor driving and braking torque distribution for a four in-wheel motor drive electric vehicle. IEEE Trans Vehicular Technol2016; 65(6): 4726–4739.
2.
ZhaoBXuNChenH, et al. Stability control of electric vehicles with in-wheel motors by considering tire slip energy. Mech Syst Signal Process2019; 118: 340–359.
3.
LiBDuHLiW. Fault-tolerant control of electric vehicles with in-wheel motors using actuator-grouping sliding mode controllers. Mech Syst Signal Process2016; 72-73: 462–485.
4.
ZhangHZhaoW. Decoupling control of steering and driving system for in-wheel-motor-drive electric vehicle. Mech Syst Signal Process2018; 101: 389–404.
5.
WangJWangXLuoZ, et al. Active disturbance rejection control of differential drive assist steering for electric vehicles. Energies2020; 13(10): 2647.
6.
ZhaoHGaoBRenB, et al. Integrated control of in-wheel motor electric vehicles using a triple-step nonlinear method. J Franklin Inst2015; 352(2): 519–540.
7.
ChenBCKuoCC. Electronic stability control for electric vehicle with four in-wheel motors. Int J Autom Technol2014; 15(4): 573–580.
8.
KoSSongCKimH. Cooperative control of the motor and the electric booster brake to improve the stability of an in-wheel electric vehicle. Int J Autom Technol2016; 17(3): 447–456.
9.
FujimotoHHoriY. Lateral stability control of in-wheel-motor-driven electric vehicles based on sideslip angle estimation using lateral tire force sensors. IEEE Trans Vehicular Technol2012; 61(5): 1972–1985.
10.
KoSYKoJWLeeSM, et al. A study on in-wheel motor control to improve vehicle stability using human-in-the-loop simulation. J Power Electron2013; 13: 536–545.
11.
RenBChenHZhaoH, et al. MPC-based yaw stability control in in-wheel-motored EV via active front steering and motor torque distribution. Mechatronics2016; 38: 103–114.
12.
AlipourHBannae SharifianMBSabahiM. A modified integral sliding mode control to lateral stabilisation of 4-wheel independent drive electric vehicles. Veh Syst Dyn2014; 52(12): 1584–1606.
13.
FengCDingNHeY. A handling and stability control algorithm for distributed drive electric vehicles. Automot Eng2014; 36(2): 129–133.
14.
QianZ. Study on stability control of front wheel drive electric vehicle based on direct yaw moment control. MS Thesis, Jiangsu University, Zhenjiang, 2015.
15.
ChenQ. Multi-Model predictive control strategy of four-wheel-drive electric vehicle. MS Thesis, Southeast University, Nanjing, 2015.
16.
LengBXiongLJinC, et al. Differential drive assisted steering control for an in-wheel motor electric vehicle. SAE Int J Passenger Cars Electron Electr Syst2015; 8: 433–441.
17.
HoogterpFMeldrumW. Differential torque steering for future combat vehicles. SAE paper no. 1999-01-3740, 1999.
18.
ZhaoWXuXWangC. Multidiscipline collaborative optimization of differential steering system of electric vehicle with motorized wheels. Sci China Technol Sci2012; 55(12): 3462–3468.
19.
SunZZhengJWangH, et al. Adaptive fast non-singular terminal sliding mode control for a vehicle steer-by-wire system. IET Control Theory Appl2017; 11(8): 1245–1254.
20.
WangW. Coordinated control of differential and assistant steering for electric vehicle driven by dual in-wheel motors. MS Thesis, Jiangsu University, Zhenjiang, 2016.
21.
WangJ. Technical study on differential assisted steering applied on electric vehicles with electric motored wheels. MS Thesis, Jilin University, Changchun, 2009.
22.
RajamaniR. Vehicle dynamics and control. Boston: Springer Science & Business Media, 2011. pp.143–145.
23.
LiuY. Research on coordination control of DDAS and ESC systems for electric vehicle driven by four in-wheel motors. MS Thesis, Jilin University, Changchun, 2016.
24.
XiongLChenCFengY. Modeling of distributed drive electric vehicle based on co-simulation of CarSim/Simulink. J Syst Simul2014; 26(5): 1143–1148.
LiuX. Study on vehicle stability based on direct yaw moment control. PhD Thesis, Hefei University of Technology, Hefei, 2010.
27.
SmarandacheF. Generalizations of the distance and dependent function in extenics to 2D, 3D, and nD. Ann Rheum Dis2012; 63(8): 961–968.
28.
TaoTSuSF. Moment adaptive fuzzy control and residue compensation. IEEE Trans Fuzzy Syst2014; 22(4): 803–816.
29.
RenXDengZ. Research on ideal steering wheel effort characteristic of driver. Chin J Mech Eng2014; 25(16): 2261–2265.
30.
ZongCNaHHHuD, et al. Study on steering effort preference of drivers based on driving simulator. Chin J Mech Eng2007; 18(8): 1001–1005.
31.
XiongLYuZWangY, et al. Vehicle dynamics control of four in-wheel motor drive electric vehicle using gain scheduling based on tyre cornering stiffness estimation. Veh Syst Dyn2012; 50(6): 831–846.
32.
DoumiatiMVictorinoALechnerD, et al. Observers for vehicle tyre/road forces estimation: experimental validation. Veh Syst Dyn2010; 48(11): 1345–1378.
