Abstract: This paper presents an integrated and detailed procedure to improve the power management feature implemented in the integrated starter-generator (ISG) parallel hybrid electric vehicle. First, the configuration of the single-shaft ISG hybrid vehicle model established in MATLAB-Simulink environment is given. The vehicle model then is validated by comparing the experimental measurements and the simulation predictions of the traditional vehicle. The baseline rule based control strategy and the optimal control strategy using the dynamic programming (DP) algorithm are introduced. Finally, a suboptimal control strategy which employs the new control rules extracted from the optimal control strategy is designed with the remarkable fuel consumption performance. Key words: parallel hybrid vehicle| rule based| dynamic programming| power management

Key words: parallel hybrid vehicle| rule based| dynamic programming| power management

摘要： This paper presents an integrated and detailed procedure to improve the power management feature implemented in the integrated starter-generator (ISG) parallel hybrid electric vehicle. First, the configuration of the single-shaft ISG hybrid vehicle model established in MATLAB-Simulink environment is given. The vehicle model then is validated by comparing the experimental measurements and the simulation predictions of the traditional vehicle. The baseline rule based control strategy and the optimal control strategy using the dynamic programming (DP) algorithm are introduced. Finally, a suboptimal control strategy which employs the new control rules extracted from the optimal control strategy is designed with the remarkable fuel consumption performance. Key words: parallel hybrid vehicle| rule based| dynamic programming| power management

关键词: parallel hybrid vehicle| rule based| dynamic programming| power management