Analysis of Toe-In Braking in Longitudinal Motion for 4WIS4WID EV

This paper presents toe-in braking in the longitudinal motion of a four-wheel independent steering four-wheel independent drive (4WIS4WID) electric vehicle (EV) in its heading direction. The steering function in these EVs allows achieving toe-in braking without any significant modification of the hardware. It uses an established mathematical model of 4WIS4WID EV and slightly modifies an existing path-tracking control scheme to achieve toe-in braking. The toe-in algorithm uses a feed-forward scheme with two serial components: The first helps specify the required deceleration rate, while the second helps compute the toe-in angle that helps meet this deceleration rate. Analysis shows effect of varying toe-in angle on forces and slips during braking, and on stopping time. Analysis for input-to-state stability of the said modified scheme helps develop a constraint on allowable toe-in angles. It simulates two situations with toe-in braking. The first involves velocity tracking in an open-loop configuration, while the second involves path tracking using a closed-loop configuration. Simulation results agree with the above analysis.

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Published
2025-02-28
DOI
https://doi.org/10.1109/ssdee64538.2025.10968712
Primary Topic
Iterative Learning Control Systems
Type
article
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article

Analysis of Toe-In Braking in Longitudinal Motion for 4WIS4WID EV

Shailendra Singh, Ramprasad Potluri
Iterative Learning Control Systems
article

Analysis of Toe-In Braking in Longitudinal Motion for 4WIS4WID EV

Shailendra Singh, Ramprasad Potluri
article en

Abstract

This paper presents toe-in braking in the longitudinal motion of a four-wheel independent steering four-wheel independent drive (4WIS4WID) electric vehicle (EV) in its heading direction. The steering function in these EVs allows achieving toe-in braking without any significant modification of the hardware. It uses an established mathematical model of 4WIS4WID EV and slightly modifies an existing path-tracking control scheme to achieve toe-in braking. The toe-in algorithm uses a feed-forward scheme with two serial components: The first helps specify the required deceleration rate, while the second helps compute the toe-in angle that helps meet this deceleration rate. Analysis shows effect of varying toe-in angle on forces and slips during braking, and on stopping time. Analysis for input-to-state stability of the said modified scheme helps develop a constraint on allowable toe-in angles. It simulates two situations with toe-in braking. The first involves velocity tracking in an open-loop configuration, while the second involves path tracking using a closed-loop configuration. Simulation results agree with the above analysis.

Indian Institute of Technology Kanpur (IN)
Affordable and clean energy
Openalex Percentile: Top 91%
Iterative Learning Control Systems
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Analysis of Toe-In Braking in Longitudinal Motion for 4WIS4WID EV — Shailendra Singh, Ramprasad Potluri · (2025) | TGRS Research Map | TGRS