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<p>The research proposes a cost-integrated reliability evaluation paradigm for Electric Vehicle Motor Drive Systems (EVMDS) using conventional significance metrics and economic variables. The hierarchical system has four primary components Rotor, Stator, Transducer, and Other Components along with ten subcomponents. BIM and JRI are used to assess individual and interactive component criticalities. The Cost-Based Importance Measure (CBIM) and Cost-Based Joint Reliability Importance (CJRI) utilize economic factors to improve component ranking under budget restrictions. The key novelty of this work lies in the simultaneous integrated of cost and joint reliability measures shows components with low technical criticality but high cost-effectiveness, such as the Fastening Screw and Bearing, as top-ranked under CBIM and CJRI. BIM and CBIM score differently, demonstrating the importance of economic-weighted reliability analysis. JRI and CJRI heatmaps show component interdependencies and cost-sensitive interactions, helping engineers optimize maintenance, design updates, and resource allocation. This dual-criteria methodology improves reliability engineering for electric vehicle applications by balancing technological robustness and economic efficiency.</p>

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Ranking of components of EV motor drive system using cost based BIM and JIM

  • 期刊论文

  • 发表日期：

    2026年3月21日

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  • Vivek Kumar Pandey,
  • G. L. Pahuja

摘要

The research proposes a cost-integrated reliability evaluation paradigm for Electric Vehicle Motor Drive Systems (EVMDS) using conventional significance metrics and economic variables. The hierarchical system has four primary components Rotor, Stator, Transducer, and Other Components along with ten subcomponents. BIM and JRI are used to assess individual and interactive component criticalities. The Cost-Based Importance Measure (CBIM) and Cost-Based Joint Reliability Importance (CJRI) utilize economic factors to improve component ranking under budget restrictions. The key novelty of this work lies in the simultaneous integrated of cost and joint reliability measures shows components with low technical criticality but high cost-effectiveness, such as the Fastening Screw and Bearing, as top-ranked under CBIM and CJRI. BIM and CBIM score differently, demonstrating the importance of economic-weighted reliability analysis. JRI and CJRI heatmaps show component interdependencies and cost-sensitive interactions, helping engineers optimize maintenance, design updates, and resource allocation. This dual-criteria methodology improves reliability engineering for electric vehicle applications by balancing technological robustness and economic efficiency.