| Budget Amount *help |
¥8,190,000 (Direct Cost: ¥6,300,000、Indirect Cost: ¥1,890,000)
Fiscal Year 2017: ¥130,000 (Direct Cost: ¥100,000、Indirect Cost: ¥30,000)
Fiscal Year 2016: ¥130,000 (Direct Cost: ¥100,000、Indirect Cost: ¥30,000)
Fiscal Year 2015: ¥6,240,000 (Direct Cost: ¥4,800,000、Indirect Cost: ¥1,440,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥260,000 (Direct Cost: ¥200,000、Indirect Cost: ¥60,000)
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| Outline of Final Research Achievements |
Electric vehicle (EV) is expected to be a mobility in near future for its good emission performance. However, range of EV for one charge should be extended for it is generally used as an alternative of current automobile. Therefore, we propose a control methodology for the range extension exploiting the EV’s property that EV can regenerate during going downhill slope/braking. The range extension problem has been formulated based upon model predictive control scheme with a performance index including a term that represents electric energy consumption and a vehicle model that represents electric properties of an EV as well as predictive traffic circumstances, e.g. change of traffic signals. In this scheme the traction force and braking force of the EV is optimized and renewed at each sampling time of the control. Computer simulation results showed that the proposed control improved energy consumption in 16% or so at typical hill climbing and successive descending.
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