Development of Road's Gradient Anticipatory Algorithm for Hybrid Heavy Duty Truck

Paper #:
  • 2014-01-2377

Published:
  • 2014-09-30
DOI:
  • 10.4271/2014-01-2377
Citation:
Ishizaka, H., Tanaka, K., Tanaka, M., and Tanaka, Y., "Development of Road's Gradient Anticipatory Algorithm for Hybrid Heavy Duty Truck," SAE Technical Paper 2014-01-2377, 2014, https://doi.org/10.4271/2014-01-2377.
Pages:
4
Abstract:
For the purpose of reducing fuel consumption, a hybrid heavy duty truck was considered. Generally, HV (Hybrid Vehicle)'s energy is regenerated from deceleration energy in urban area. Hybrid heavy duty truck's energy is regenerated from potential energy on highway. Under this circumstance, some portion of energy may not be accumulated, because capacity of HV battery is limited. In order to maximize accumulating energy in the next descent, HV battery's energy shall be adequately reduced beforehand. This can be achieved by optimizing motor assist torque considering road's altitude and gradient. In this paper, performance of the algorithm is discussed.
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