2017 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific) 2017
DOI: 10.1109/itec-ap.2017.8080801
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Cited by 5 publications
(1 citation statement)
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“…Prior researches suggest that the multi-objective optimization controller can further improve the system performance in complicated conditions in practice. He et al [26] proposed a quadratic programing (QP)based optimal torque distribution strategy to minimize the power loss of drivetrain and improve the lateral stability by utilizing the tire-road friction of each wheel. In [27], a multi-objective optimization method was proposed based on non-convex optimization with the penalty function consisting of the yaw moment control offset, the drive system energy loss and the slip ratio constraint.…”
Section: Introductionmentioning
confidence: 99%
“…Prior researches suggest that the multi-objective optimization controller can further improve the system performance in complicated conditions in practice. He et al [26] proposed a quadratic programing (QP)based optimal torque distribution strategy to minimize the power loss of drivetrain and improve the lateral stability by utilizing the tire-road friction of each wheel. In [27], a multi-objective optimization method was proposed based on non-convex optimization with the penalty function consisting of the yaw moment control offset, the drive system energy loss and the slip ratio constraint.…”
Section: Introductionmentioning
confidence: 99%