|
Abstract: Hybrid
vehicles have two or more sources of on-board power. A power control
strategy, referred to as the “energy management strategy”, is needed to
coordinate all the components of powertrain so that they can work
together in an optimal manner (optimal vehicle operating mode and
optimal power distribution) to achieve multiple design objectives, such
as high fuel economy and low emissions. An innovative four-step design
method is presented and an optimal energy management strategy for a
power split powertrain hybrid vehicle is designed. In the first step, a
hybrid dynamical system theory is introduced to formulate the hybrid
vehicle control system that incorporates both continuous and discrete
dynamics. In the second step, the sequential quadratic programming (SQP)
method is applied to optimize power distribution. The dynamic
programming method is employed to solve the complex vehicle operating
mode transition problem. In the third step, a rule-based system and a
fuzzy rule system are developed based on the statistical numerical
solutions derived from the second step. In the fourth step, a genetic
algorithm is applied to the simultaneous optimization of parameters of
membership functions, weights of the rules and rule sets for fuzzy rule
system and parameters of the rule-based system.
Key
words: Hybrid
vehicles Energy management strategy Hybrid dynamical system
Genetic algorithm Dynamic programming
CLC No: U463
国家863高科技资助项目(2001AA501100). Received 20030813, received in revised form
20040208
|