Adaptive Telemetry Power Split Strategy for Mild Hybrid Electric Vehicle

Abstract

In this thesis an innovative Energy Management Strategy (EMS) for mild Hybrid Electric Vehicle (HEV) equipped with Crankshaft-mounted Integrated Starter Generator (C-ISG) is proposed With the major aim at reducing fuel consumption and retaining battery State of Charge (SOC) level Adaptive Telemetry Equivalent Consumption Minimization Strategy (AT-ECMS) is established AT-ECMS is emphasized to work under unknown driving conditions without explicit prediction of driving conditions and heavy time-consuming offline computation load In contrast to most current EMS AT-ECMS has relatively computational-friendly structure therefore it can be realized in real-world driving conditions effortlessly To evaluate the performance of AT-ECMS forward-backward facing longitudinal vehicle model and AT-ECMS are developed and verified under MATLAB/Simulink environment According to the simulation results better fuel economy under unknown driving condition can be achieved by the proposed AT-ECMS Compared to the optimal result via dynamic programming only a minor degree of discrepancy in fuel economy is found

Date of Award	2019
Original language	English
Supervisor	Nan-Chyuan Tsai (Supervisor)