Design of Intelligent Management System for Parallel Hydraulic Hybrid Vehicle based on Controller Area Network Bus

Abstract

Parallel hydraulic hybrid vehicles are a new type of energy-saving and environmentally friendly vehicle. Owing to the presence of two power sources, an efficient management system is required to ensure accurate power coupling and optimal energy matching, thereby achieving energy conservation and emission reduction. In this paper, an intelligent management system for a parallel hydraulic hybrid vehicle is designed based on CAN bus technology. The controllers of the main nodes adopt the LPC2294 microcontroller with an ARM7TDMI-S core, which features high computational speed and high reliability. Experimental results demonstrate that the proposed intelligent management system exhibits high communication reliability and safety performance and can effectively meet the requirements of vehicle power coupling control and energy matching. In the node design, 6N136 optocouplers are employed for isolation, which significantly reduces the influence of common-mode interference on differential signals. The system nodes are capable of satisfying the driving and detection requirements of the system. Moreover, the designed CAN network has relatively large inter-frame spacing and long idle periods, resulting in a very low probability of congestion. The CAN differential signals remain stable and the impact of common-mode interference on differential communication can be considered negligible. Thanks to the intelligent management system’s robust computational capability, vehicle operating status is effectively monitored and drive modes are dynamically coordinated to ensure optimal energy matching.