### Apache Airflow version

2.2.2 (latest released)

### Operating System

Ubuntu 18.04.6

### Versions of Apache Airflow Providers

_No response_

### Deployment

Other Docker-based deployment

### Deployment details

_No response_

### What happened

The deprecated variable `execution_date` raises an error when used in an f string template with date string formatting.

```python
In [1]: execution_date
DeprecationWarning: Accessing 'execution_date' from the template is deprecated and will be removed in a future version. Please use 'logical_date' or 'data_interval_start' instead.
Out[1]: <Proxy at 0x7fb6f9af81c0 wrapping DateTime(2021, 11, 18, 0, 0, 0, tzinfo=Timezone('UTC')) at 0x7fb6f9aeff90 with factory <function TaskInstance.get_template_context.<locals>.deprecated_proxy.<locals>.deprecated_func at 0x7fb6f98699d0>>

In [2]: f"{execution_date:%Y-%m-%d}"
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
----> 1 f"{execution_date:%Y-%m-%d}"

TypeError: unsupported format string passed to Proxy.__format__
```



### What you expected to happen

Executing `f"{execution_date:%Y-%m-%d}"` should return a string and not raise an error. 

### How to reproduce

```python
from datetime import datetime
from airflow import DAG
from airflow.operators.python import PythonOperator


def test_str_fmt(execution_date: datetime):
    return f"{execution_date:%Y-%m-%d}"


dag = DAG(
    dag_id="Test_Date_String",
    schedule_interval="@daily",
    catchup=False,
    default_args={
        "depends_on_past": False,
        "start_date": datetime(2021, 11, 1),
        "email": None,
        "email_on_failure": False,
        "email_on_retry": False,
        "retries": 0,
    },
)

with dag:
    test_task = PythonOperator(
        task_id="test_task",
        python_callable=test_str_fmt,
    )
```

### Anything else


```python
from datetime import datetime
...
datetime.fromisoformat(next_ds)
TypeError: fromisoformat: argument must be str
```


### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

airflow/models/taskinstance.py
"""
        Returns whether or not all the conditions are met for this task instance to be run
        given the context for the dependencies (e.g. a task instance being force run from
        the UI will ignore some dependencies).
        :param dep_context: The execution context that determines the dependencies that
            should be evaluated.
        :type dep_context: DepContext
        :param session: database session
        :type session: sqlalchemy.orm.session.Session
        :param verbose: whether log details on failed dependencies on
            info or debug log level
        :type verbose: bool
        """
        dep_context = dep_context or DepContext()
        failed = False
        verbose_aware_logger = self.log.info if verbose else self.log.debug
        for dep_status in self.get_failed_dep_statuses(dep_context=dep_context, session=session):
            failed = True
            verbose_aware_logger(
                "Dependencies not met for %s, dependency '%s' FAILED: %s",
                self,
                dep_status.dep_name,
                dep_status.reason,
            )
        if failed:
            return False
        verbose_aware_logger("Dependencies all met for %s", self)
        return True
    @provide_session
    def get_failed_dep_statuses(self, dep_context=None, session=None):