The present paper proposes an efficient and robust control scheme for an electric vehicle (EV) with a brushless d.c. motor. First, after analysing the control principle for the brushless d.c. motor, the equivalent circuits of the control system are depicted and the mathematical models under normal driving and energy regeneration are derived, respectively. Then, by combining the merits and defects of the non-singular terminal sliding-mode (NTSM) with the high-order sliding-mode (HOSM) method, a hybrid non-singular terminal sliding-mode control scheme (HTSM) for robust control of the EV is put forward to guarantee both system performance and robust stability. The experimental results show that the scheme exhibits better performance and higher efficiency than the traditional proportional-integral-derivative (PID) controller. Furthermore, more energy is recovered and the proposed scheme improves the driving range by 5.7 per cent more than the PID controller.
ChanC. C.‘The state of the art of the electric and hybrid vehicles.’Proc. IEEE90 (2) (2002): 247–275
2.
ChanC. C.ChauK. T.JiangJ. Z.XiaW.ZhuM.ZhangR.‘Novel permanent magnet motor drives for electric vehicles.’IEEE Trans. Ind. Electron.43 (2) (1996): 331–339
3.
WilliamsonS. S.EmadiA.RajashekaraK.‘Comprehensive efficiency modeling of electric traction motor drives for hybrid electric vehicle propulsion applications.’IEEE Trans. Veh. Technol.56 (4) (2007): 1561–1572
4.
ChauK. T.ChanC. C.LiuC.‘Overview of permanent-magnet brushless drives for electric and hybrid electric vehicles.’IEEE Trans. Ind. Electron.55 (6) (2008): 2246–2257
5.
EmadiA.LeeY. J.RajashekaraK.‘Power electronics and motor drives in electric, hybrid electric, and plug-in hybrid electric vehicles.’IEEE Trans. Ind. Electron.55 (6) (2008): 2237–2245
6.
SalmasiF. R.‘Control strategies for hybrid electric vehicles: Evolution, classification, comparison, and future trends.’IEEE Trans. Veh. Technol.56 (5) (2007): 2393–2404
7.
DengY. W.GongJ. K.WangY. N.‘Energy optimization and simulation of HEV using mild hybrid control strategy (in Chinese).’Chin. J. Highway Transport21 (11) (2008): 114–120
8.
BajecP.PevecB.VoncinaD.MiljavecD.NastranJ.‘Extending the low-speed operation range of PM generator in automotive applications using novel AC-DC converter control.’IEEE Trans. Ind. Electron.52 (2) (2005): 436–443
9.
OrtuzarM.MorenoJ.DixonJ.‘Ultracapacitor-based auxiliary energy system for an electric vehicle: Implementation and evaluation.’IEEE Trans. Ind. Electron.54 (4) (2007): 2147–2156
10.
MutohN.HayanoY.YahagiH.TakitaK.‘Electric braking control methods for electric vehicles with independently driven front and rear wheels.’IEEE Trans. Ind. Electron.54 (2) (2007): 1168–1176
11.
JieG. S.MaW. M.‘Adaptive PID control based on single neuron of brushless DC motor for electric vehicles.’J. Wuhan Univ. Technol. (Transport. Sci. Engng)29 (2) (2005): 242–242
12.
LiS. B.LiaoC. L.ChenS. L.‘Traction control of hybrid electric vehicle.’Proc. IEEE VPPC7 (10) (2009): 1535–1540
13.
SchoutenN. J.SalmanM.KheirN.‘Fuzzy logic control for parallel hybrid vehicles.’IEEE Trans. Control Syst. Technol.10 (3) (2002): 460–468
14.
CaoJ. B.CaoB. G.‘Fuzzy-logic-based sliding-mode controller design for position-sensorless electric vehicle.’IEEE Trans. Power Electron.24 (10) (2009): 2368–2378
15.
BoseB. K.‘Neural network applications in power electronics and motor drives - an introduction and perspective.’IEEE Trans. Ind. Electron.54 (1) (2007): 14–33
16.
MaoL. P.Research on intelligent control methods of electric vehicle (in Chinese) Doctoral Dissertation, Hunan University, Changsha, People's Republic of China, 2006
17.
PisuP.RizzoniG.‘H∞ control for hybrid electric vehicles.’ In Proceedings of the 43rd IEEE Conference on Decision Control, Atlantis, Bahamas, 14-17 December 2004, pp. 3497–3502.
18.
YeM.BaiZ. F.CaoB.‘RobustH2/H∞ control for regenerative braking of electric vehicles.’ In Proceedings of the IEEE International Conference on Control and Automation, May/June 2007, pp. 1366–1370.
19.
HuangQ.HuangZ.ZhouH.‘Nonlinear optimal and robust speed control for a light-weighted all-electric vehicle.’IET Control Theory Applic.3 (4) (2009): 437–444
20.
ZhangC. F.Research on intelligent control theory and applications of sliding mode variable structure (in Chinese) Doctoral dissertation, Hunan University, Changsha, People's Republic of China, 2001
21.
HaddounA.BenbouzidM. E. H.DialloD.AbdessemedR.GhouiliJ.SrairiK.‘Sliding mode control of EV electric differential system.’ In Proceedings of 17th ICEM, Chania, Greece, 2-5 September 2006, pp. 400–406 (IEEE, Piscataway, New Jersey).
22.
CaoJ. B.CaoB. G.BaiX. P.Z. F.‘Regenerative-braking sliding mode control of electric vehicle based on neural network identification.’ In Proceedings of the IEEE/ASME Advanced Intelligent Mechatronics Conference, Xi'an, People's Republic of China, 2-5 July 2008, pp. 1219–1224 (IEEE, Piscataway, New Jersey).
23.
GairS.CrudenA.McDonaldJ.HredzakB.‘Electronic differential with sliding mode controller for a direct wheel drive electric vehicle.’ In Proceedings of IEEE ICM, Istanbul, Turkey, 3-5 June 2004, pp. 98–103 (IEEE, Piscataway, New Jersey).
24.
FengY.HanX.WangY.YuX.‘Second-order terminal sliding mode control of uncertain multivariable systems.’Int. J. Control80 (6) (2007): 856–862
25.
FengY.YuX.ManZ.‘Non-singular adaptive terminal sliding mode control of rigid manipulators.’Automatica38 (12) (2002): 2159–2167
26.
LaiY. S.LinY. K.‘Assessment of pulse-width modulation techniques for brushless dc motor drives.’ In Proceedings of the IEEE IAS Annual Meeting, Tampa, Florida, 8-12 October 2006, pp. 1629–1636 (IEEE, Piscataway, New Jersey).
27.
PaoloM.LeopoldoR.GirgioS.‘Small-signal analysis of DC-DC converters with sliding mode control.’IEEE Trans. Power Electron.12 (1) (1997) 96–102
28.
LeeJ.NelsonD. J.‘Rotating inertia impact on propulsion and regenerative braking for electric motor driven vehicles.’ In Proceedings of IEEE VPPC'2005, Chicago, Illinois, USA, 7-9 September 2005, pp. 308–314 (IEEE, Piscataway, New Jersey).
29.
LevantA.‘Higher-order sliding modes, differentiation and output feedback control.’Int. J. Control76 (9/10) (2003): 924–941
