Control Strategy Optimization of Electric Assisted Steering System of Hybrid Electric Vehicle

Abstract

In recent years, the energy crisis and environmental pollution have accelerated the transformation of the automobile industry. However, the control strategy of electric power steering system of traditional hybrid electric vehicles has some problems, such as low energy efficiency, poor driving experience and insufficient adaptability. Therefore, this paper aims to solve these problems and improve the system performance by optimizing the control strategy. This research focuses on the control strategy optimization of electric power steering (EPS) system of hybrid electric vehicles. Through the introduction of advanced dynamic power management and predictive control technology and a set of dynamic adjustment algorithm based on real-time road conditions and driving behaviour, the power required by EPS is fine-tuned. First of all, the energy management strategy of hybrid electric vehicles is deeply integrated with the EPS control strategy and the EPS power level is dynamically adjusted according to the real-time energy flow state to maximize the vehicle energy efficiency. Secondly, the driving intention recognition technology is introduced to predict the driver's behaviour based on machine learning, realize the adaptive adjustment of EPS control and improve the intelligent and personalized driving experience. At the same time, the integrated fault diagnosis and fault tolerance control mechanism ensures the safety and controllability of EPS system in the case of failure. Experiments show that the energy consumption is reduced by about 15% compared with the traditional static control strategy. Through deep learning technology, the developed intelligent control system has reduced the EPS response time by nearly 30% compared with the original system, greatly improving the driving experience. By optimizing the collaborative operation of EPS and other subsystems of the vehicle, the overall efficiency of vehicle energy management has been improved by 20%, further enhancing the market competitiveness of hybrid electric vehicles.