A method to quantitatively evaluate sensory performance was considered which is not easily observed through physical quantities. With the advancement of CAE technology, many vehicle performances can now be examined at the performance design stage before designing each component. However, there are still performances that rely on the sensory evaluation of expert drivers. When analyzing driver comments on “roll feeling,” a highly requested feeling item, many comments were related to low to medium vehicle speeds and low steering frequencies, as well as changes in the driver’s line of sight. Therefore, a was made to analyze driver comments on roll feeling along with the steering and vehicle conditions at that time, adding the perspective of the driver’s line of sight. However, in the low to medium speed range and low steering frequency range, pitch behavior is smaller compared to roll behavior. Additionally, even on a sufficiently flat test course, vehicle behavior caused by road surface roughness adds noise, making it difficult to analyze pitch behavior with sufficient accuracy. Therefore, the evaluation method was verified using a driving simulator that is not affected by road disturbances or sensor resolution. By evaluating with the devised test mode that allows free changes in vehicle characteristics, it was possible to quantitatively evaluate the differences in vehicle behavior due to slight differences in roll feeling caused by different component characteristic values.

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Quantitative Evaluation of Vehicle Performances Evaluated by Driver’s Sense

  • Jun Nakahara,
  • Yuji Yoshioka,
  • Kei Sakamoto,
  • Takahito Sagane

摘要

A method to quantitatively evaluate sensory performance was considered which is not easily observed through physical quantities. With the advancement of CAE technology, many vehicle performances can now be examined at the performance design stage before designing each component. However, there are still performances that rely on the sensory evaluation of expert drivers. When analyzing driver comments on “roll feeling,” a highly requested feeling item, many comments were related to low to medium vehicle speeds and low steering frequencies, as well as changes in the driver’s line of sight. Therefore, a was made to analyze driver comments on roll feeling along with the steering and vehicle conditions at that time, adding the perspective of the driver’s line of sight. However, in the low to medium speed range and low steering frequency range, pitch behavior is smaller compared to roll behavior. Additionally, even on a sufficiently flat test course, vehicle behavior caused by road surface roughness adds noise, making it difficult to analyze pitch behavior with sufficient accuracy. Therefore, the evaluation method was verified using a driving simulator that is not affected by road disturbances or sensor resolution. By evaluating with the devised test mode that allows free changes in vehicle characteristics, it was possible to quantitatively evaluate the differences in vehicle behavior due to slight differences in roll feeling caused by different component characteristic values.