Inverse Problem Solving for Intelligent Shifting Decision of Wheel Loaders

Conventional engineering design entails a typical forward design process. Due to the cognitive differences in the effects of parameters on output in engineering models, decision-makers cannot make optimal decisions. The feedback information based on product usage data can help decision-makers to solve this problem. The basic rationale of data-driven design is to base design decisions on facts, but not assumptions, which coincides with an inverse thinking of problem solving. This paper reviews the origin and practice of inverse problem in engineering design and proposes a decision-making framework for inverse problem of Engineering products. Taking the solution of inverse problem for wheel loader intelligent shifting strategy as an example, the feasibility of inverse design based on product usage data is illustrated.