Abstract
Electric hydraulic power steering (EHPS) system has been widely used in large and medium cars, which plays an important role in determining the energy loss, driving safety and driving comfort of vehicles. This work mainly discusses the parameter design of the EHPS system based on the multi-objective optimization algorithm. Since there is no explicit standard for the performance indexes of EHPS system, this work proposes to take the energy consumption, steering road feel, steering sensibility and steering stability as the main performance indexes of EHPS system. Based on these, a multi-objective optimization model is established with the non-dominated sorting genetic algorithm-III based on fitness function (NSGA-III-FF), which has better convergence than the original NSGA-III. Simulation results show that NSGA-III-FF enhances the comprehensive performance of the EHPS system, which can successfully achieve the goal of multiobjective optimization for steering flexibility, steering road feel, and energy loss while ensuring the steering stability.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: DEStech Transactions on Environment, Energy and Earth Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
