FUZZY LOGIC BASED TRACTION CONTROL FOR ELECTRIC VEHICLES

Patent №

US 11,225,232

Granted

2022-01-18

Filed 2019

Owner

SF MOTORS, INC.

Lab

AI components

2

ml · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16730178

Fuzzy-logic based traction control for electric vehicles is provided. The system detects a wheel slip ratio for each wheel. The system receives an input torque command. The system determines a slip error for each wheel based on the wheel slip ratio for each wheel and a target wheel slip ratio. The system, using the fuzzy-logic based control selection technique, selects a traction control technique from one of a least-quadratic-regulator, a sliding mode controller, a loop-shaping based controller, or a model predictive controller. The system generates a compensation torque value for each wheel. The system generates the compensation torque value based on the traction control technique selected via the fuzzy-logic based control selection technique and the slip error for each wheel. The system transmits commands to actuate drive units of the vehicles based on the compensation torque value.

Machine learningPlanningB60T 8/174B60L 3/106B60L 3/108B60L 15/20B60T 8/175B60T 8/1761B60W 30/02B60W 30/18172+16 more

AI classification

Planning1.00
Machine learning0.90
AI hardware0.13
Vision0.08
Evolutionary computation0.01
Natural language0.00
Speech0.00
Knowledge representation0.00

Ownership

SF MOTORS, INC.

assignment · 514040732

Assignors

SHI, JUNZHE, ZHOU, XINGYU, TIAN, MIN

On an employer assignment, the assignors are typically the inventors.

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