Design of brake force distribution model for front-and-rear-motor-drive electric vehicle based on radial basis function

• Autorzy: Sun B. , Zhang T. , Gao S. , Ge W. , Li B.

Identyfikatory

DOI

10.5604/01.3001.0012.8368

• Języki publikacji: EN

Abstrakty

EN

To achieve high-efficiency and stable brake of a front-and-rear-motor-drive electric vehicle (FRMDEV) with parallel cooperative braking system, a multi-objective optimal model for brake force distribution is created based on radial basis function (RBF). First of all, the key factors, which are the coefficient of brake force distribution between the front and rear shafts, the coefficient of brake force distribution at wheels, the coefficient of regenerative brake force distribution between front and rear axles, that influence the brake stability and energy recovery of the FRMDEV are analyzed, the fitness functions of brake stability and energy recovery are established. Secondly, the maximum allowed regenerative brake torque influenced by the state of charge of battery is confirmed, the correction model of the optimal distribution coefficient of regenerative brake force is created according to motor temperatures. Thirdly, based on HALTON sequence method, a two-factor database, vehicle velocity and brake strength, that characterizes vehicle operation is designed. Then an off-line response database of the optimal brake force distribution is established with the use of particle swarm optimization (PSO). Furthermore, based on hybrid RBF, the function model of the factor database and the response database is established, and the accuracy of the model is analyzed. Specially, the correlation coefficient is 0.995 and the predictive error variance is within the range between 0.000155 and 0.00018. The both indicate that the multi-objective distribution model has high accuracy. Finally, a hardware-in-loop test platform is designed to verify the multi-objective optimal brake force distribution model. Test results show that the real-time performance of the model can meet the demand of engineering application. Meanwhile, it can achieve both the brake stability and energy recovery. In comparison with the original brake force distribution model based on the rule algorithm, the optimized one proposed in this paper is able to improve the energy, recovered into battery, by 14.75%.

Słowa kluczowe

EN

electric vehicle; motor drive; front-and-rear-motor-drive; brakes force; brake force distribution

PL

pojazd elektryczny; napęd silnikowy; napęd silnikowy przedni i tylny; siła hamowania; rozkład siły hamowania

• Wydawca: Warsaw University of Technology, Faculty of Transport
• Czasopismo: Archives of Transport
• Rocznik: 2018
• Tom: Vol. 48, iss. 4
• Strony: 87--98
• Opis fizyczny: Bibliogr. 18 poz., fot., rys., wykr.

Twórcy

autor

Sun B.

• Shandong University of Technology, School of Transportation and Vehicle Engineering, Zibo, Shandong, China

autor

Zhang T.

• Shandong University of Technology, School of Transportation and Vehicle Engineering, Zibo, Shandong, China

autor

Gao S.

• Shandong University of Technology, School of Transportation and Vehicle Engineering, Zibo, Shandong, China

autor

Ge W.

• Shandong University of Technology, School of Transportation and Vehicle Engineering, Zibo, Shandong, China

autor

Li B.

• Shandong University of Technology, School of Transportation and Vehicle Engineering, Zibo, Shandong, China

Bibliografia

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• [4] KO, J., LEE, G., & KO, S., 2012. Cooperative Control of Regenerative Braking using a Front Electronic Wedge Brake and a Rear Electronic Mechanical Brake Considering the Road Friction Characteristic. SAE Paper: 2012-01-1798.
• [5] MERKISZ-GURANOWSKA, A., PIELECHA, J., 2014. Passenger cars and heavy duty vehicles exhaust emissions under real driving conditions. Archives of Transport, 31(3), 47-59.
• [6] MUTOH, N., 2012. Driving and Braking Torque Distribution Methods for Front-and Rear-Wheel-Independent Drive-Type Electric Vehicles on Roads with Low Friction Coefficient. IEEE Transaction on Industrial Electronics, 59(10), 3919-3933.
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• [8] MUTOH, N., KATO, T., & MURAKAMI, K., 2011. Front-and-Rear-Wheel-Independent-Drive-Type Electric Vehicle (FRID EV) Taking the Lead For Next Generation ECO-Vehicles. SAE Paper: 2011-39-7.
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• [12] SUN, B., GAO, S., & WU, ZH., 2016. Parameters design and economy study of an electric vehicle with powertrain systems in front and rear axle. International Journal of Engineering Transactions A: Basics, 29(4), 454-463.
• [13] SUN, D., LAN, F., & HE, X., 2016. Research on adaptive drive anti slip control of dual motor four wheel drive electric vehicle. Automotive Engineering, 38(5), 600-619.
• [14] WUENG, C., YANG, Y., & CHENG, J., 2010. An Improved Regenerative Braking Control Strategy and System for Dual Motor Electric Vehicle. The 25th World Battery, Hybrid and Fuel Cell Vehicle Symposium &Exhibition. Shenzhen, China, Nov. 5-9, 2010.
• [15] XU, W., ZHENG, H., & LIU, Z, 2013. The Re-generative Braking Control Strategy of Four-Wheel-Drive Electric Vehicle Based on Power Generation Efficiency of Motors. SAE Paper: 2013-01-0412.
• [16] YAMATO, M., 2005. Eco-Vehicle Assessment System (Eco-VAS): a Comprehensive Environmental Impact Assessment System for the Entire Development Process. Toyota Technical Review, 54(1), 80-85.
• [17] ZHANG, J., CHEN, L., & LI, Y., 2014. Current situation and Prospect of braking energy recovery technology for electric driven passenger cars. Automotive Engineering, 36(8) 911-918.
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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).