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RESEARCH  HYBRID DRIVES






               7.0
                                                              US06
                                         WLTP
                                                  D segment
              Fuel consumption B S  [l/100km]  5.0  NEDC  B segment  Hybrid potentials
               6.0
                                             C segment





                                       Mode
               4.0
                                       Cycle
                                                        WLTP
                                                      B
                                       Segment   NEDC  Potential  [%]  US06
                                                          C
                                                  C
                                                              D
                                                                  C
                                       Recuperation  22.6 16.4 20.8 24.6 21.9
                                       LPS        1.3  0.0  0.0  0.8  0.0
               3.0
                 10       12         14        16        18        20      FIGURE 5 Hybridisation potentials for various vehicle
                              Mechanical ICE energy E  [kWh/100km]         segments and driving cycles (NEDC = black dotted
                                                                           line, WLTP = solid lines (red, black and blue) and
                                              ICE
                                                                           US06 = black dashed line) (© TU Braunschweig)
               100
                                    Potential through intelligent discharging: ≈ 3 %
                       GOCS
                80
                                                Extended potential
                                                through prediction ≈ 4 to 9 %
                60
             SOC [%]
                40   ECMS

                20
                      SOC min
                 0
                  0          2000         4000         6000      8000
                                                                           FIGURE 6 Consumption potentials through
                                         Time [s]
                                                                           intelligent discharging and predictive functions
                                                                           (© TU Braunschweig)



          pure battery operation due to missing cycle information, the GOCS   with a modular simulation model as in [3], which is developed for
          can operate the ICE or FC more efficiently through intelligent dis-  the evaluation of drivetrains particularly created by powertrain syn-
          charging of the battery. Thus, significant advantages in energy   thesis. This combination makes it possible to develop, evaluate
          consumption of approximately 3 % can be achieved depending on   and optimise a large variety of hybrid concepts, as in [3-5].
          the scenario, FIGURE 6. Moreover, by exploiting the SOC limits, fur-
          ther consumption reduction can be realised. In the considered
          scenario of [2], the extended potential is up to 9 %.  REFERENCES
                                                             [1]  Lange, A.; Küçükay, F.: A new, systematic approach to determine the global
                                                             energy optimum of a hybrid vehicle. In: Automotive and Engine Technology 1
          8 SUMMARY AND OUTLOOK                              (2016), pp. 35-46
                                                             [2] Lange, A.; Küçükay, F.: Potentials of predictive control strategies. 6 th  CoFAT,
          At the Institute of Automotive Engineering of the TU Braunschweig   Fürstenfeldbruck, 2017
                                                             [3] Lange, A.; Li, L.; Küçükay, F.: Evaluation and optimization of innovative
          a new operation strategy method was developed, which is used to   hybrid drives. 5 th  CoFAT, Fürstenfeldbruck, 2016
          determine the global energy optimum for any hybrid drive. Due to   [4]  Küçükay, F.; Lange, A.; Li, L.: Highly fuel-efficient transmission and propulsion
          the systematic of the Global Optimal Control Strategy (GOCS), the   concepts. Der Antrieb von morgen 2017, 11. internationale MTZ-Fachtagung
          potentials of the various hybrid modes can be isolated and evalu-  Zukunftsantriebe, 2017
                                                             [5] Lange, A.; Li, L.; Küçükay, F.: Modular DHT – a modular concept for electrified
          ated. The control strategy is applied to various case studies and   powertrains. 14. Braunschweiger Symposium: Hybrid- und Elektrofahrzeuge,
          hybrid potentials are quantified. The GOCS is used in combination   Braunschweig, 2017
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