Optimal Deceleration Zone of EV with an Improved Parallel Regenerative Braking System

Since braking harshness has a great influence on the efficiency of regenerative braking system, an optimal deceleration strategy is essential to adopt during braking of electrical vehicle (EV). Various EV and route parameters have an impact on ODS. Finding ODS for each time in braking using an optimization algorithm requires expensive software and electronic systems inbuilt with EV. Rather, knowing an optimal deceleration zone (ODZ) in the look-up table form before hand is helpful for a driver to optimally brake an EV. A systematic study is conducted here to find an ODZ for braking of EV with an improved parallel regenerative braking system. A multi-objective algorithm is applied to resolve the concerned optimization problem that comprises of the contradictory objectives, minimization of braking duration, maximization of regenerative energy and minimization of jerk. In three different representative speed changes, optimization results are analysed and corresponding ODZ is identified. The ODZs are further analysed with different initial battery state of charge ($SOC_{init)}$. For the same SOC
init
, ODZ span increases with speed change, but for a particular speed change it is found almost same irrespective of SOC
init
.