optimization of gear ratios and gear-shifting strategy for enhanced efficiency in tracked vehicles

Introduction/purpose: tracked vehicles play a vital role across various domains, from military operations to construction and agriculture. this study focuses on improving the efficiency of tracked vehicles by optimizing both gear ratios and gear-shifting strategies while preserving other performance aspects.methods: the optimization process involves a genetic algorithm for determining optimal gear ratios, considering performance constraints. furthermore, the paper introduces a gear-shifting optimization algorithm aimed at enhancing fuel economy to the maximum, while allowing for a valid comparison between two sets of gear ratios.results: optimizing gear ratios leads to substantial reductions in fuel consumption, as the engine operates within more efficient regions. additionally, the optimized gear-shifting strategy further enhances efficiency, resulting in a fuel consumption reduction exceeding 12%, when combined with the optimized gear ratios. conclusions: this paper offers a direct and robust approach for optimizing powertrain gear ratios and gear-shifting strategies in tracked vehicles. the results demonstrate significant improvements in fuel efficiency without compromising other critical vehicle performance parameters.