A DCT-Based Driving Cycle Generation Method and Its Application for Electric Vehicles

Abstract

Nowadays, many widely used driving cycle (DC) representing and generating methods are designed for traditional vehicles with internal combustion engines (ICE). The real-world driving is viewed as a sequence of acceleration, cruise, deceleration, and idle modes. The emission and fuel consumption in each period should be taken into account carefully. However, for electric vehicles (EVs), most of them are powered by low or zero-emission renewable energy sources. The working status and energy management algorithms of them are very different from traditional vehicles. To facilitate the EV design, we proposed a novel DC representing and construction method to generate DCs for EVs. The whole driving route is divided into several length-fixed segments and each of these segments is converted into a frequency sequence. After doing that, we can adjust the frequency and amplitude of the generated driving cycle directly. The experiment results showed that the proposed method was effective and convenient.

Working cycle identification–based braking control strategy and its application for hydraulic hybrid loader

“…And the driving cycles of it are very different from traditional vehicles. An optimal control strategy or control method designed for a special hydraulic hybrid vehicle cannot be simply transplanted to different hydraulic hybrid loaders [17][18][19][20] since the operation procedure and the working condition are very different. Thus, in this article, working cycle identification-based regenerative braking control strategy and power split control strategy were presented, in which the efficient flow and optimal split of energy within electric-hydraulic braking system, regenerative braking system, power split system, and other systems are synthetically considered.…”