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This paper proposes a predictive real time energy management strategy for plug-in-hybrid electric vehicles (PHEV) based on an adaptation of Dynamic Programming (DP). The computational load of predictive real time strategies increases with the trip length. Therefore, for online computation by the onboard computer, they strongly depend on an efficient implementation. To reduce computation cost, current...
The prediction of the driving cycle (vehicle speed profile versus time) and the road grade cycle (road grade profile versus time) can improve a variety of vehicle functions, especially the energy management of HEVs and PHEVs. The variability of the driving conditions (environment) together with the nonlinear and variable driver behaviour (driving style) makes the driving cycle ‘on-board & real-time’...
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