Abstract
Mechatronic design optimization is a complex process characterized by an important number of requirements, design variables, constraints and objectives. Therefore, it is very important to decompose efficiently the system design problem into a set of partitions to minimize the computational cost while profiting from the spatial distribution of design tools, working teams and expertise. However, the optimization of the overall design requires incorporating the relevant partitions in order to find the optimum mechatronic design. Efficient strategies of partitioning and coordination should be specified at the conceptual level to have a successful optimization process. In this paper, a new approach based on multi-agent paradigm is proposed for mechatronic design optimization. The proposed approach is applied to the preliminary design case of an electric vehicle to demonstrate its validity and effectiveness.
Highlights
A typical mechatronic design involves multidisciplinary teams to work together on the design of a mechatronic system
Our approach is based on a multi agent platform containing only software agents, which communicate with physical agents and design software
After the reception of the formulation messages from the Coordinating Agent (CA), each Design Agents (DAs) informs the associated designer about the proposed formulation in order to accomplish a local optimization in his specific partition and determine the optimal local solutions compared to the internal objectives to meet the requested requirements
Summary
We consider the case of a preliminary design of an electric vehicle. The objective of this study is to optimize the battery, the electric motor and the gear ratio to meet the performance requirements related to the maximum velocity and the acceleration test.
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