Hybridizing automotive drivetrains, or using more than one type of energy c
onverter, is considered an important step toward very low pollutant emissio
n and high fuel economy. The automotive industry and governments in the Uni
ted States, Europe, and Japan have formed strategic initiatives with the ai
m of cooperating in the development of new vehicle technologies. Efforts to
meet fuel economy and exhaust emission targets have initiated major advanc
es in hybrid drivetrain system components, including: high-efficiency high-
specific power electric motors and controllers; load-leveling devices such
as ultracapacitors and fly-wheels; hydrogen and direct-methanol fuel cells;
direct injection Diesel and Otto cycle engines; and advanced batteries. Th
e design of hybrid electric vehicles is an excellent example of the need fo
r mechatronic system analysis and design methods, If one is to fully realiz
e the potential of using these technologies, a complete vehicle system appr
oach for component selection and optimization over typical driving situatio
ns is required. The control problems that arise in connection with hybrid p
ower trains are significant and pose additional challenges to power-train c
ontrol engineers. The principal aim of this paper is to propose a framework
for the analysis, design, and control of optimum hybrid vehicles within th
e context of energy and power flow analysis. The approaches and results pre
sented in this paper are one step toward the development of a complete tool
box for the analysis and design of hybrid vehicles.