Skip to main content
Log in

Novel Evaluation Systems for Compact In-Wheel Vehicles Considering Deviation of Load Torque between Left and Right Wheel

  • Regular Paper
  • Published:
International Journal of Precision Engineering and Manufacturing-Green Technology Aims and scope Submit manuscript

Abstract

In-wheel vehicles driven by electrical energy are more efficient and emit less pollutant emissions than conventional vehicles powered by internal combustion engine. However, evaluation system for the in-wheel vehicles is not well established, the absence of the evaluation system for in-wheel vehicles is one of the major obstacles to commercialization of the in-wheel vehicles. In this study, we have suggested a new methodology of dynamometer test for in-wheel vehicle and devised simulators that can analyze the performance of in-wheel vehicles. In general, a new vehicle goes through the performance evaluation on dynamometer test which can simulate a straight motion of vehicles. Due to the characteristics of dynamometer test which simulates only a straight motion, it is not suitable for test for in-wheel vehicle. In the case of in-wheel vehicle, since driving motors on wheels are controlled independently, the stability of in-wheel vehicles during turning is important. Therefore, we have developed an in-wheel vehicle simulator to build a dynamometer test which can simulate turning motions of in-wheel vehicle. Using CarSim & Matlab/Simulink, we realized dynamic motion of a vehicle on a curved 3-demensional road. With this simulator, we could extract the load torque of each wheel during driving on the 3D virtual road. If the derived load torque is applied to motors of dynamometer test, it is possible to simulate driving on real road, through which the performance and the efficiency of in-wheel vehicles can be analyzed before the actual vehicle experiment. Also, we developed another simulator to evaluate the performance and the efficiency of in-wheel vehicles. This simulator allows us to evaluate the performance of in-wheel vehicles by using load torque derived from previous simulator. In this study, we developed two types of simulators to evaluate the performance of in-wheel vehicles in the simulation environment where the load torque for each wheel is different. One simulator derives load torque of each wheel and the other simulator evaluates the performance of in-wheel vehicles.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Abbreviations

V:

Total velocity at c.g. of vehicle, m/s

R:

Turn radius of vehicle or radius of raod, m

F:

Force, N

x,y,z:

Longitudinal, lateral, vertical acceleration, m/s2

Z:

Vertical length, m

a:

Acceleration, m/s2

m:

Total mass of vehicle, kg

l:

Longitudinal distance from c.g., m

C αf :

Cornering stiffness of front tire

C ar :

Cornering stiffness of rear tire

δ :

Steering wheel angle, rad

I:

Moment of inertia, kg * m2

ψ :

Yaw angle of vehicle, rad

ψ :

Yaw rate of vehicle, rad/s

ψ :

Yaw angular acceleration of vehicle, rad/s2

C drag :

Air resistance coefficient

A:

Frontal area, m2

g:

Gravity, m/s2

M y :

Torque, N * m

hwc:

Height of wheel center, m

l,r:

Left, right

x,y,z:

Longitudinal, lateral, vertical

w:

Width

des:

Desired

bk:

Brake

res:

Resistance

References

  1. Kim, N. W., Cha, S. W., and Peng, H., “Optimal Control of Hybrid Electric Vehicles Base on Pontryagin’s Minimum Principle,” IEEE Transactions on Control Systems Technology, Vol. 19, No. 5, pp. 1279–1287, 2011.

    Article  Google Scholar 

  2. Kim, N. W., Cha, S. W., and Peng, H., “Optimal Equivalent Fuel Consumption for Hybrid Electric Vehicles,” IEEE Transactions on Control Systems Technology, Vol. 20, No. 3, pp. 817–825, 2012.

    Article  Google Scholar 

  3. Zheng, C., Oh, C. E., Park, Y. I., and Cha, S. W., “Fuel Economy Evaluation of Fuel Cell Hybrid Vehicles Based on Equivalent Fuel Consumption,” International Journal of Hydrogen Energy, Vol. 37, No. 2, pp. 1790–1796, 2012.

    Article  Google Scholar 

  4. Zheng, C., Cha, S. W., Park, Y. I., Lim, W., and Xu, G., “PMPBased Power Management Strategy of Fuel Cell Hybrid Vehicles Considering Multi-Objective Optimization,” Int. J. Precis. Eng. Manuf., Vol. 14, No. 5, pp. 845–853, 2013.

    Article  Google Scholar 

  5. Zhang, J., Zheng, C., Cha, S. W., and Duan, S., “Co-State Variable Determination in Pontryagin’s Minimum Principle for Energy Management of Hybrid Vehicles,” Int. J. Precis. Eng. Manuf., Vol. 17, No. 9, pp. 1215–1222, 2016.

    Article  Google Scholar 

  6. Choi, J., Jeong, J., Park, Y. I., and Cha, S. W., “Evaluation of Regenerative Braking Effect for E-REV Bus according to Characteristic of Driving Cycle,” Int. J. Precis. Eng. Manuf.-Green Tech., Vol. 2, No. 2, pp. 149–155, 2015.

    Article  Google Scholar 

  7. Lee, H. S., Kim, J. S., Park, Y. I., and Cha, S. W., “Rule-Based Power Distribution in the Power Train of a Parallel Hybrid Tractor for Fuel Savings,” Int. J. Precis. Eng. Manuf.-Green Tech., Vol. 3, No. 3, pp. 231–237, 2016.

    Article  Google Scholar 

  8. Zheng, C., Xu, G., Cha, S. W., Park, Y. I., and Lim, W., “PMP-based Power Management Strategy for Two-State Variable FCHV Systems and its Optimality,” Int. J. Precis. Eng. Manuf., Vol. 15, No. 4, pp. 769–776, 2014.

    Article  Google Scholar 

  9. Zheng, C., Xu, G., Cha, S. W., and Liang, Q., “A Predictive Driving Control Strategy of Electric Vehicles for Energy Saving,” Int. J. Precis. Eng. Manuf., Vol. 16, No. 1, pp. 197–202, 2015.

    Article  Google Scholar 

  10. Jeong, J., Lee, D., Kim, N., Zheng, C., Park, Y. I., et al., “Development of PMP-based Power Management for a Parallel Hybrid Electric Bus,” Int. J. Precis. Eng. Manuf., Vol. 15, No. 2, pp. 345–353, 2014.

    Article  Google Scholar 

  11. Song, H. W., Lee, Y. K., Baek, J. J., Park, J. H., and Hwang, S. H., “Driving Force Distribution Algorithm for Improved Efficiency of 4-Wheel-Drive In-Wheel Electric vehicles,” Proc. of KSAE Spring Conference, pp.1846–1850, 2013.

    Google Scholar 

  12. Shin, S. and Choi, G., “Driving Performance Analysis of a Rear In-Wheel Motor Vehicle with Simultaneous Control of Driving Torque and Semi-Active Suspension System,” Transactions of KSAE, Vol. 23, No. 1, pp.11–17, 2015.

    Article  Google Scholar 

  13. Hwang, Y., Nam, C., Yang, I., and Jeong, K., “Development and Validation of In-Wheel Vehicle Simulation Model,” Proc. of KSAE Annual Conference, pp. 2404–2408, 2012.

    Google Scholar 

  14. Fangjun, J. and Gao, Z., “An Application of Nonlinear PID Control to a Class of Truck ABS Problems,” Proc. of IEEE Decision and Control, Vol. 1, pp. 516–521, 2001.

    Google Scholar 

  15. Rajamani, R., “Vehicle Dynamics and Control,” Springer, 2nd Ed., 2013.

    MATH  Google Scholar 

  16. Jeong, J., Choi, J., Shin, C., Lim, W., and Cha, S. W., “Development of Control Algorithm for Wheel Motor Drive Bus System Considering Stability and Cornering Performance of Vehicle,” Proc. of KSAE Spring Conference, pp. 1445–1449, 2012.

    Google Scholar 

  17. Jeong, J., Choi, J., Shin, C., Lee, D., Lim, W., et al., “Development of Integrated Control Logic of Wheel Motor Drive Electric Bus Considering Stability and Driving Performance,” Transactions of KSAE, Vol. 21, No. 6, pp. 40–48, 2013.

    Article  Google Scholar 

  18. Mechanical Simulation Corporation, “Powertrain_System,” VehicleSim Borwser Reference Manual, 2013.

  19. Kim, N. W., Park, Y. I., Seo, H., Lee, D. H., and Cha, S. W., “A Backward Simulator for Calculating Optimal Control Trajectories,” Proc. of KSAE Spring Conference, pp. 1498–1503, 2009.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Suk Won Cha.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Son, S., Song, C., Cha, S.W. et al. Novel Evaluation Systems for Compact In-Wheel Vehicles Considering Deviation of Load Torque between Left and Right Wheel. Int. J. of Precis. Eng. and Manuf.-Green Tech. 5, 287–294 (2018). https://doi.org/10.1007/s40684-018-0030-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40684-018-0030-9

Keywords

Navigation